This work is licensed under the Esri Master License Agreement.View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Набор данных содержит свыше 60 000 объектов с геокодированными адресами города Астаны.
Геометрия зданий получена на основе данных OSM, атрибутивная информация - с базы данных 2ГИС.
Сервис объектов содержит следующие атрибутивные данные:
1. Address - адрес;
2. b_type - тип здания (жилой дом, административное здание и т.д.);
3. post_id - новый почтовый индекс;
4. b_name - это название здания (ТРЦ и т.д.).
This work is licensed under the Esri Master License Agreement.
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Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a style similar to the Esri Street Map (with Relief). It includes the World Hillshade layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
This layer presents detectable thermal activity from MODIS satellites for the last 7 days. MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World.
Consumption Best Practices:
Area Covered: World
What can I do with this layer?
The MODIS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.
It takes approximately 2 – 4 hours after satellite overpass for MODIS Rapid Response to process the data, and for the Fire Information for Resource Management System (FIRMS) to update the website. Occasionally, hardware errors can result in processing delays beyond the 2-4 hour range. Additional information on the MODIS system status can be found at MODIS Rapid Response.
Attribute Information
This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
", "keyword": [ " Esri", "MODIS", "Esri", "FIRMS", "Hot spots", "Wildfire", "Live Feed", "Risk", "Earth Observations", "Disturbance", "Landscape", "Hazards", "University of Maryland", "Esri_environment", "hosted" ], "issued": "2019-06-11T21:50:03.000Z", "modified": "2026-11-11T15:31:06.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_livefeeds2", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-164.9496,-42.3004,175.6217,69.3761", "license": " This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
Функциональные возможности приложения:
Интерактивные элементы. При нажатии на точки или бассейны на карте отображается детальная информация о них в виде таблицы со значениями.
Слои карты. Доступны различные слои, отражающие условия гидрологических бассейнов Таджикистана. Это позволяет пользователям выбирать нужные данные для отображения. Для просмотра нижележащих слоев необходимо отключить все вышележащие.
Круговая диаграмма: отображает соотношение бассейнов с селями и без них, предоставляя общее представление о распределении.
Нет
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal-hub::факторы-проявления-селевых-процессов-в-таджикистане" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://experience.arcgis.com/experience/9654b535fa9e436f848a2a35916ffc61" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=d9b578f7419d4cdd859fdf8c61cbe01f", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::area-of-the-taldykol-lake-group-20072024-interactive-application", "title": "Area of the Taldykol Lake Group, 2007–2024 Interactive application", "description": "", "keyword": [ "wayback" ], "issued": "2025-05-16T05:00:55.000Z", "modified": "2025-09-08T13:28:05.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::area-of-the-taldykol-lake-group-20072024-interactive-application" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://cacgeoportal.maps.arcgis.com/apps/instant/media/index.html?appid=d9b578f7419d4cdd859fdf8c61cbe01f" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=3e1a00aeae81496587988075fe529f71", "landingPage": "https://www.cacgeoportal.com/maps/esri::openstreetmap-1", "title": "OpenStreetMap", "description": "This tile layer presents a world basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
This layer represents the boundaries for the regions of the world. There are 25 commonly recognized world regions. The layer provides a base map of the regions for the world, providing a straightforward method of selecting a small multi-country area for display or study. The layer is suitable for display to a largest scale of 1:15,000,000 and ready for use in analysis.
", "keyword": [ "layer", "polygon", "area", "detail", "population", "boundaries", "U.S. States", "States", "Puerto Rico", "National", "Federal", "USA", "analysis ready", "2015", "United States", "retiring-2026-12" ], "issued": "2015-06-30T16:24:51.000Z", "modified": "2025-08-27T14:32:29.129Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_dm", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-89.0000,180.0000,83.6236", "license": " This work is licensed under the Esri Master License Agreement.
For more information, see the Landscape Layers group on ArcGIS Online.
This work is licensed under the Esri Master License Agreement.
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
What can you do with this layer?
This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.
This work is licensed under the Esri Master License Agreement.
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
Retirement Notice: This item is in mature support as of June 2024 and will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This work is licensed under the Esri Master License Agreement.
Sentinel-2 Level-1C imagery with on-the-fly renderings for visualization. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
Sentinel-2 imagery can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
Additional Notes
Data Source
Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS, or alternatively access EarthExplorer or the Copernicus Data Space Ecosystem to download the scenes.
For information on Sentinel-2 imagery, see Sentinel-2.
", "keyword": [ "sentinel", "imagery", "multispectral", "temporal", "amazon", "MS", "esa", "sentinel on aws", "sentinel2", "sentinel2 on aws", "sentinel2 views", "sentinel-2" ], "issued": "2018-05-02T15:47:29.000Z", "modified": "2025-09-02T18:15:06.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_imagery", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-179.9973,-66.8050,179.9973,72.9957", "license": " This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This world basemap presents OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This work is licensed under the Esri Master License Agreement.
This layer presents detectable thermal activity from MODIS satellites for the last 7 days. MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World.
Consumption Best Practices:
Area Covered: World
What can I do with this layer?
The MODIS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.
It takes approximately 2 – 4 hours after satellite overpass for MODIS Rapid Response to process the data, and for the Fire Information for Resource Management System (FIRMS) to update the website. Occasionally, hardware errors can result in processing delays beyond the 2-4 hour range. Additional information on the MODIS system status can be found at MODIS Rapid Response.
Attribute Information
This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
", "keyword": [ " Esri", "MODIS", "Esri", "FIRMS", "Hot spots", "Wildfire", "Live Feed", "Risk", "Earth Observations", "Disturbance", "Landscape", "Hazards", "University of Maryland", "Esri_environment", "hosted" ], "issued": "2019-06-11T21:50:03.000Z", "modified": "2026-11-11T15:02:18.523Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_livefeeds2", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-164.9496,-42.3004,175.6217,69.3761", "license": " This work is licensed under the Esri Master License Agreement.Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a style similar to the Esri Street Map. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads and includes imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads. This layer is designed to be overlaid on imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads and includes imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
This tile layer presents a new vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using a creative cartographic style emulating the style of blueprint technical drawing. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
", "keyword": [ "basemap", "OpenStreetMap", "OSM", "Blueprint", "osmBlueprint", "wma", "vector" ], "issued": "2019-08-30T16:09:28.000Z", "modified": "2025-08-29T10:06:41.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_vector", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-140.0000,-60.0000,140.0000,60.0000", "license": " This work is licensed under the Esri Master License Agreement.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It presents the map in a cartographic style is like a blueprint technical drawing. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
What can you do with this layer?
This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Consumption Best Practices:
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.This web map is a subset of World Imagery Layer.
World Imagery provides one meter or better satellite and aerial imagery in many parts of the world and lower resolution satellite imagery worldwide. The map includes 15-meter TerraColor imagery at small and mid-scales (~1:591M down to ~1:288k) for the world. The map features Maxar imagery at 0.3-meter resolution for select metropolitan areas around the world, 0.5-meter resolution across the United States and parts of Western Europe, and 0.6-1.2-meter resolution imagery across the rest of the world. In addition to commercial sources, the World Imagery map features high-resolution aerial photography contributed by the GIS User Community. This imagery ranges from 0.3-meter to 0.03-meter resolution, down to ~1:280 in select communities.
You can contribute your imagery to this map and have it served by Esri via the Community Maps Program.
Updates and Coverage
You can use the World Imagery Updates app to learn more about recent updates and map coverage.
Citations
This layer includes imagery provider, collection date, resolution, accuracy, and source of the imagery. With the Identify tool in ArcGIS Desktop or the ArcGIS Online Map Viewer you can see imagery citations. Citations returned apply only to the available imagery at that location and scale. You may need to zoom in to view the best available imagery. Citations can also be accessed in the World Imagery with Metadata web map.
Use
You can add this layer to the ArcGIS Online Map Viewer, ArcGIS Desktop, or ArcGIS Pro. To view this layer with a useful reference overlay, open the Imagery Hybrid web map.
Feedback
Have you ever seen a problem in the Esri World Imagery Map that you wanted to report? You can use the Imagery Map Feedback web map to provide comments on issues. The feedback will be reviewed by the ArcGIS Online team and considered for one of our updates.
This work is licensed under the Esri Master License Agreement.Use this Map
This map is designed to be used as a basemap layer or reference layer in a web map. You can add this layer to a web map and save as your own map. If you would like to use this map as a basemap layer in a web map, you may use the vector basemap Navigation (Dark) web map.
Customize this Map
Because this map is delivered as a vector tile layer, users can customize the map to change its content and symbology, including fonts. Users are able to turn on and off layers, change symbols for layers, switch to alternate local language (in some areas), and refine the treatment of disputed boundaries. See the Vector Basemap group for other vector tile layers. For details on how to customize this map, please refer to these articles on the ArcGIS Online Blog and view the Esri Vector Basemaps Reference Document.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a reference layer featuring map labels, boundary lines, and roads. This layer is designed to be overlaid on imagery. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
This layer presents detectable thermal activity from MODIS satellites for the last 7 days. MODIS Global Fires is a product of NASA’s Earth Observing System Data and Information System (EOSDIS), part of NASA's Earth Science Data. EOSDIS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World.
Consumption Best Practices:
Area Covered: World
What can I do with this layer?
The MODIS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.
It takes approximately 2 – 4 hours after satellite overpass for MODIS Rapid Response to process the data, and for the Fire Information for Resource Management System (FIRMS) to update the website. Occasionally, hardware errors can result in processing delays beyond the 2-4 hour range. Additional information on the MODIS system status can be found at MODIS Rapid Response.
Attribute Information
This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
", "keyword": [ " Esri", "MODIS", "Esri", "FIRMS", "Hot spots", "Wildfire", "Live Feed", "Risk", "Earth Observations", "Disturbance", "Landscape", "Hazards", "University of Maryland", "Esri_environment", "hosted" ], "issued": "2019-06-11T21:50:03.000Z", "modified": "2026-11-11T15:02:18.523Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_livefeeds2", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-164.9496,-42.3004,175.6217,69.3761", "license": " This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.You can click on the slides in the scene to explore them, and navigate the scene for each landmark to see different perspectives. Landmarks are selected from Cultural and Natural World Heritage List of UNESCO
You can explore more of this map below.
", "keyword": [ "" ], "issued": "2024-04-09T22:39:50.000Z", "modified": "2024-04-09T22:49:15.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-landmarks-" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/afb9c03260e640629a60624be987cbfd" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=a3dfd608e91e4dbda25c3b33d6f9fb30", "landingPage": "https://www.cacgeoportal.com/apps/nation::mountain-mapping", "title": "Mountain Mapping", "description": "A reverse-engineering of the methods and color palette used by renown Swiss relief painter Eduard Imhof, toward the goal of creating a digital homage for modern cartographers. Links are provided in this Cascade Story Map to an ArcGIS Pro style resource and project package. Cartographers are invited to get the scoop on the aesthetic technique then start cranking out glorious hillshade maps of their own.This layer represents the most frequently updated and most detailed global remotely sensed wildfire information. Detection attributes include time, location, and intensity. It can be used to track the location of fires from the recent past, a few hours up to seven days behind real time. This layer also shows the location of wildfire over the past 7 days as a time-enabled service so that the progress of fires over that timeframe can be reproduced as an animation.
The VIIRS thermal activity layer can be used to visualize and assess wildfires in Central Asia and Caucasus Region.
Resolution: 375 meters
Update Frequency: Hourly
", "keyword": [ "" ], "issued": "2024-04-07T06:28:39.000Z", "modified": "2024-04-07T06:46:31.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::satellite-viirs-thermal-hotspots-and-fire-activity-" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/60ed3c8458c6459b8750a50ba811e853" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=fafbae1210da4fbeba88833d71f11ca4", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::sentinel-2", "title": "Sentinel-2", "description": "This imagery layer can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity.
Sentinel-2, 10, 20, and 60m Multispectral, Multitemporal, 13-band imagery is rendered on-the-fly and available for visualization and analytics. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
", "keyword": [ "" ], "issued": "2024-04-07T05:46:46.000Z", "modified": "2024-04-07T06:12:21.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::sentinel-2" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/fafbae1210da4fbeba88833d71f11ca4" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=267bd05ea04147da960e7723b9159bd2", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::way-back-imagery-vs-today-imagery-2024", "title": "Way Back Imagery vs Today Imagery (2024)", "description": "This map features a selection of World Imagery (Wayback) layers from the past 5 years, which reveal different versions of the World Imagery basemap for Central Asia and Caucasus over that time. From lower right corner you can turn on and off different years.
The map contains a few bookmarks for areas that show significant change. Select from upper right corner.
You can see more from the Wayback Imagery Application below.
", "keyword": [ "" ], "issued": "2024-04-07T02:57:35.000Z", "modified": "2024-04-07T04:06:30.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::way-back-imagery-vs-today-imagery-2024" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/267bd05ea04147da960e7723b9159bd2" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=057d8463f4d944f38ac5f0c498005b0e", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::terrestrial-ecosystems-1", "title": "Terrestrial Ecosystems", "description": "This map allows you to query of any of the 250-m pixels on the land surface of the Earth, and returns the values of all the input parameters and the name of the Ecosystem at that location.
For more information see the below.
", "keyword": [ "" ], "issued": "2024-04-05T07:01:28.000Z", "modified": "2024-04-05T07:08:26.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::terrestrial-ecosystems-1" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/057d8463f4d944f38ac5f0c498005b0e" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=bceff42d8ddc40eb9dd1d7a93819ec8e", "landingPage": "https://www.cacgeoportal.com/maps/cacgeoportal::hillshade", "title": "Hillshade", "description": "This web map is a subset of World Hillshade.This layer portrays elevation as an artistic hillshade. The map is designed to be used as a backdrop for topographical, soil, hydro, landcover or other outdoor recreational maps.
The map was compiled from a variety of sources from several data providers. The basemap has global coverage down to a scale of ~1:72k. In the United States, Western Europe, Finland and Norway coverage is provided to ~1:18k. Additionally, Netherlands, Denmark, Finland and select areas of the U.S. are provided down to ~1:9k.
To see sources of various datasets comprising this map layer, view the Elevation Coverage Map.
The map is based on the Multi-directional hillshade algorithm.
This work is licensed under the Esri Master License Agreement.INTRODUCTION.
It is situated in the Chimgan mountains, about 80 kilometers northeast of Tashkent, the capital city of Uzbekistan. Charvak Dam was constructed primarily for hydroelectric power generation, water supply, irrigation, and to control the flow of the Chirchiq River. The Charvak River, known for its natural beauty and ecological importance, serves as the centerpiece of our Geographic Information Systems (GIS) project. As the lifeline of a vast region, this river plays a crucial role in sustaining not only the environmental balance but also the social and economic well-being of the communities it traverses.
OBJECTIVE.
", "keyword": [ "" ], "issued": "2023-12-21T11:19:28.000Z", "modified": "2023-12-21T13:21:52.000Z", "publisher": { "name": "Ajou university in Tashkent" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ajouuniversityintashkent", "hasEmail": "mailto:info@ajou.uz" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/AUT::charvak-reservoir-in-story-map-view" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/4c3adffc4caa4914ab67bf806e50c55b" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=7a4d07bfe8ff4ab898ff9c53316de774", "landingPage": "https://www.cacgeoportal.com/apps/TuftsGIS::the-disappearance-of-aral-sea-catastrophic-disaster-", "title": "The Disappearance of Aral Sea: Catastrophic Disaster ", "description": "The Aral Sea in Central Asia, between Kazakhstan and Uzbekistan. It has a rich historical background and significant ecological and socio-economic importance. In the past, it was one of the world's largest inland bodies of water, covering an area of approximately 68,000 square kilometers. The sea was centrally managed during the Soviet Union's influence until the collapse of the USSR.
The sea played a crucial role in the region by providing water resources that supported local communities and sustained diverse ecosystems. The Amu Darya and Syr Darya, the two major rivers of Central Asia, were considered domestic rivers within the USSR. However, after the dissolution of the Soviet Union in 1991, these rivers became international water systems.
The Syr Darya River originates as the Naryn River in the Kyrgyzstan mountains. It then flows through Uzbekistan, Tajikistan, and Kazakhstan before draining into the Aral Sea. With a total length of around 2,800 km, the river catchment is home to approximately 20 million people and covers an area of about 400,000 km2. Most of the river's runoff, over 75%, is generated in the upstream mountainous terrain of Kyrgyzstan through glacial meltwater and snowmelt (Bernauer and Siegfried, 2012).
During the Soviet era, Kyrgyzstan's abundant water resources and favorable topography made it suitable for water storage and hydropower. The extensive low-lying steppes in the midstream and downstream areas of the Syr Darya, now Uzbekistan and Kazakhstan, were ideal for large-scale irrigated agricultural production. Consequently, the Soviet Union initiated irrigation projects to support cotton and wheat production, primarily during the Stalinist period and under Khrushchev in the mid-1950s. These projects involved diverting water from the sea's tributaries, mainly focusing on meeting production targets and maximizing cotton production for export, often neglecting ecological sustainability (Dukhovny & Sokolov, 2003; Savoskul et al., 2003).
Moreover, decision-making processes during the Soviet era were highly centralized, with limited input from local communities and little consideration for environmental impacts. Water management, irrigation projects, and land use decisions were made at the central level, disregarding the knowledge and expertise of local communities, who possessed a deeper understanding of the local environment.
After the collapse of the Soviet Union, the Aral Sea region faced additional challenges during the transition from a centralized planning system to a market-oriented economy. Political and economic instability, weak governance structures, and limited financial resources further complicated efforts to address the Aral Sea problem effectively.
At present, the major irrigated agricultural areas in the region include the densely populated and ethno-politically unstable Fergana Valley in Uzbekistan and the Kyzylorda and South Kazakhstan oblasts in the Syr Darya catchment in Kazakhstan. The pursuit of transforming Central Asia into a significant irrigation economy ultimately led to the desiccation of the Aral Sea, resulting in highly adverse social, economic, and environmental consequences in the region (Micklin, 1988).
This location marks the spot of what used to be Ancient Bactria and what is now modern day Afghanistan, Uzbekistan, and Tajikistan. Bactria was an important area for cross-cultural exchange after it was absorbed into the empire of Alexander the Great upon his marriage to Roxane in 327 BCE. Roxane was the daughter of the Bactrian Satrap and their union made Bactria a real center for exchange in the broader Hellenistic world.
", "keyword": [ "" ], "issued": "2023-12-07T04:15:08.000Z", "modified": "2023-12-17T03:31:25.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ciburchett4077", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/29db8e7224bd4ca98892ca3682c06711" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/29db8e7224bd4ca98892ca3682c06711" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=1a5927e0165c4d6791c78d0a946d956c", "landingPage": "https://www.cacgeoportal.com/maps/1a5927e0165c4d6791c78d0a946d956c", "title": "World Atlas Without Borders", "description": "Central Asia is a leader in producing cotton. In 2021 Uzbekistan was the world's 6th highest producer of cotton, Turkmenistan was the 9th highest, Tajikistan 15th, and Kazakhstan 19th (FAO, 2023). On a per capita basis Uzbekistan is second only to Australia in cotton production, Turkmenistan is 3rd, Tajikistan 5th, Kazakhstan 15th, and Kyrgyzstan 20th (Atlas Big).
Cotton is a crop that requires a lot of water and irrigation. This region of Asia is not known for its heavy rainfall and could not support such large cotton production without the help of large irrigation projects.
", "keyword": [ "" ], "issued": "2023-11-03T05:06:28.000Z", "modified": "2023-11-21T21:34:43.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "kevlarp", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/f63d6182b7134ccfa2709a91631dd081" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/f63d6182b7134ccfa2709a91631dd081" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=2849561ce323447595ce73da73a013fc", "landingPage": "https://www.cacgeoportal.com/apps/2849561ce323447595ce73da73a013fc", "title": "UZBEKISTAN: VISION, CHALLENGES AND PROSPECTS", "description": "Unlike most modern countries, Uzbekistan does not have its own National Spatial Data Infrastructure. The country recently, (2015) adopted laws to modernize the ways in which it collects data and communicates with its citizens as well as private business entities. There are of course a number of challenges the country faces to put NSDI in to place as well as economic, social and ecological benefits the government and its citizens may see once the infrastructure is operating. The prospects for benefits and utilization are high but the country needs to focus on eliminating current shortcomings. Weak ICT infrastructure, lack of SDI culture and human profficiency need to be addressed by a wide range of stakeholders before future prospects will become a reality.
", "keyword": [ "" ], "issued": "2023-11-17T18:16:21.000Z", "modified": "2023-11-17T21:17:56.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "the_discussion@icloud.com", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/2849561ce323447595ce73da73a013fc" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/2849561ce323447595ce73da73a013fc" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=97cd1a6f884c4782ad9820913f78351d", "landingPage": "https://www.cacgeoportal.com/apps/97cd1a6f884c4782ad9820913f78351d", "title": "Kazachstanas, Uzbekistanas, Kirgiztanas", "description": "Kazachija arba Kazachstanas valstybė Vidurinėje Azijoje. Ribojasi su Uzbekistanu, Kirgizija, Turkmėnistanu, Rusija bei Kinija. Vakaruose Kazachstanas prieina prie Kaspijos jūros.
Plotas - 2 725 000 km²
", "keyword": [ "" ], "issued": "2023-10-15T19:15:41.000Z", "modified": "2023-11-14T10:25:00.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "akvile.mickeviciute", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/97cd1a6f884c4782ad9820913f78351d" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/97cd1a6f884c4782ad9820913f78351d" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=f3e4c0426e1842509a0b769a8e762d0f", "landingPage": "https://www.cacgeoportal.com/apps/f3e4c0426e1842509a0b769a8e762d0f", "title": "Empresas aeronáuticas en Zaragoza. Uzbekistan Airways", "description": "Zaragoza es conocida por su base aérea militar y su ubicación estratégica, sin embargo, en la zona de su base o del aeropuerto no hay apenas empresas. Donde sí encontramos muchas empresas aeronáuticas es en la zona centro, Tarazona o cerca de la Puebla de Alfindén.
Los \"hubs\" de empresas más importantes son:
1) Zaragoza centro: es en el distrito centro, incluso en el casco histórico donde se encuentra el gran número de empresas aeronáuticas de la provincia. Entre ellas destacan Aragonesa de Servicios de Aviación SL y Tecnam AIR SL. Esta última es distribuidor oficial en España de Tecnam, el mayor fabricante de aviones ultraligeros y ligeros del mundo.
", "keyword": [ "" ], "issued": "2023-11-10T15:42:05.000Z", "modified": "2023-11-12T21:58:04.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "a.rivero", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/f3e4c0426e1842509a0b769a8e762d0f" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/f3e4c0426e1842509a0b769a8e762d0f" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=6d98ba2d1dbe40bb98e848bc80e3e8b9", "landingPage": "https://www.cacgeoportal.com/apps/arcgis-content::mapping-global-air-quality", "title": "Mapping Global Air Quality", "description": "This collection of maps highlights different patterns of air quality as seen by particulate matter (PM 2.5) concentrations. Maps were created from this Global Particulate Matter (PM 2.5) between 1998-2016) Living Atlas layer. The data is aggregated from NASA Socioeconomic Data and Applications Center (SEDAC) gridded data into country boundaries, administrative 1 boundaries, and 50 km hex bins. The unit of measurement is micrograms per cubic meter. This work is licensed under the Esri Master License Agreement.An ArcGIS Online vector basemap in the Equal Earth projection, for global or regional thematic mapping in an equal area projection (which is important).
Uzbekistan is exposed to multiple high-risk hazards, including floods and earthquakes.
", "keyword": [ "" ], "issued": "2023-06-11T05:55:15.000Z", "modified": "2023-06-28T21:11:12.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "yla587@sfu.ca_simonfraseru", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/8c6d6e0fc5a6408fa1fed544373c3a3a" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/8c6d6e0fc5a6408fa1fed544373c3a3a" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=d5e5d342e8c3447ba66cf638fbfbf797", "landingPage": "https://www.cacgeoportal.com/apps/d5e5d342e8c3447ba66cf638fbfbf797", "title": "Geoscapes Project: Tajikistan", "description": "Tajikistan is a landlocked country located in Central Asia bordered by Kyrgyzstan, China, Afghanistan, and Uzbekistan.
It has a significantly young population with the median age being 25.3 years (World Population Review, n.d.). A majority of the population is under 40 and of the 10.1 million population, only 5.7 million are over the age of 18 (World Population Review, n.d.). That means almost half of the population are children and teenagers.
Most of the population belongs to an ethnic group called the Tajik group but there are also ethnic Russians and Uzbeks who live there (World Population Review, n.d.). The country has health care system issues and life expectancy is only 66 years while infant mortality rates are at 3.7% (World Population Review, n.d.)
", "keyword": [ "" ], "issued": "2023-06-18T04:09:04.000Z", "modified": "2023-06-18T22:55:38.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "wca105@sfu.ca_simonfraseru", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/d5e5d342e8c3447ba66cf638fbfbf797" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/d5e5d342e8c3447ba66cf638fbfbf797" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ae660945c7f24ebc85f58a9a4c98fd51", "landingPage": "https://www.cacgeoportal.com/apps/ae660945c7f24ebc85f58a9a4c98fd51", "title": "Food Diversity in Kyrgyzstan ", "description": "Kyrgyzstan is a small country of Central Asia, which borders China, Kazakhstan, Uzbekistan, and Tajikistan. Kyrgyzstan has been a part of many historical events, which have definitely impacted/shaped the country as a whole. From being free spirited nomads to living under Russian rule, this is just one part of Kyrgyz history. This StoryMap, however, focuses on how Muslim, Chinese, and Russian people contributed to the emergence of particular dishes that exist in Kyrgyzstan until this day.
Although Kyrgyz people have their own traditional food and dishes, the arrival of different groups of people have contributed to the changes in Kyrgyz cuisine. Kyrgyz food was, in fact, influenced by the spread of Islam from the Middle East. As Islam has reached Kyrgyzstan, and people started to convert and practice the religion, the food ultimately had to become “halal.\" This means that the animal has to be slaughtered in a proper Islamic way before being consumed, excluding pork because it is never considered halal.
", "keyword": [ "" ], "issued": "2023-06-11T02:08:18.000Z", "modified": "2023-06-18T07:59:34.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "mma202@sfu.ca_simonfraseru", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/ae660945c7f24ebc85f58a9a4c98fd51" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/ae660945c7f24ebc85f58a9a4c98fd51" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=f0008164017643fa9b7cf268a494f8ec", "landingPage": "https://www.cacgeoportal.com/apps/AUT::tupalang-riversurkhandarya-uzbekistan", "title": "Tupalang River,Surkhandarya Uzbekistan", "description": "Objective
", "keyword": [ "" ], "issued": "2023-05-27T10:01:19.000Z", "modified": "2023-05-31T08:13:41.000Z", "publisher": { "name": "Ajou university in Tashkent" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ajouuniversityintashkent", "hasEmail": "mailto:info@ajou.uz" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/AUT::tupalang-riversurkhandarya-uzbekistan" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/f0008164017643fa9b7cf268a494f8ec" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=701a603e571b41dd8a447ab63ccfcb37", "landingPage": "https://www.cacgeoportal.com/pages/cacgeoportal::about-1", "title": "About", "description": "{{description}}", "keyword": [ "" ], "issued": "2024-04-21T14:57:06.000Z", "modified": "2024-10-29T21:21:44.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "productengineer_cac", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "25.5177,34.9321,44.9267,42.0223", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/pages/cacgeoportal::about-1" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=cabd61a6cfc44843b2ccd6969bb88cf0", "landingPage": "https://www.cacgeoportal.com/maps/esri::openstreetmap-wgs84", "title": "OpenStreetMap (WGS84)", "description": "This tile layer presents a world basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Consumption Best Practices:
Source: NASA LANCE - VNP14IMG_NRT active fire detection - World
Scale/Resolution: 375-meter
Update Frequency: Hourly (depending on source availability) using the aggregated live feed methodology
Area Covered: World
What can I do with this layer?
This layer represents the most frequently updated and most detailed global remotely sensed wildfire information. Detection attributes include time, location, and intensity. It can be used to track the location of fires from the recent past, a few hours up to seven days behind real time. This layer also shows the location of wildfire over the past 7 days as a time-enabled service so that the progress of fires over that timeframe can be reproduced as an animation.
The VIIRS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.
Fire points in this service are generally available within 3 1/4 hours after detection by a VIIRS device. LANCE estimates availability at around 3 hours after detection, and esri livefeeds check for updates every 20 minutes from LANCE.
Even though these data display as point features, each point in fact represents a pixel that is >= 375 m high and wide. A point feature means somewhere in this pixel at least one \"hot\" spot was detected which may be a fire.
VIIRS is a scanning radiometer device aboard the Suomi NPP (ending Nov 1, 2026), NOAA-20, and NOAA-21 satellites that collects imagery and radiometric measurements of the land, atmosphere, cryosphere, and oceans in several visible and infrared bands. The VIIRS Thermal Hotspots and Fire Activity layer is a livefeed from a subset of the overall VIIRS imagery, in particular from NASA's VNP14IMG_NRT active fire detection product. The source downloads are monitored automatically and retrieved from LANCE, NASA's near real time data and imagery site, every 20 minutes when updates detected.
The 375-m data complements the 1-km Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Hotspots and Fire Activity layer; they both show good agreement in hotspot detection but the improved spatial resolution of the 375 m data provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters.
Pleae read more in our blog: Using Arcade to Extract Meaning from Satellite Fire Detections.
Attribute information
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.Many places around the world have experienced population growth in the past decade and even population decline due to the COVID pandemic. According to worldometer’s current statistics the global population continues to thrive reaching a little over 8 billion and still growing. Although, Kazakhstan only ranks 64 we can see that they have a decent 1.21 percent yearly change with the net change being about 225,000 to the total of 19 million. When we look at their 2021 stats from Our World in Data for birth rates and death rates per 1,000 people, we can see that they are still a growing population as the birth rate (21.54) is double the death rate (10.23). Birthrates measure the number of births in a population by using a percentage or a ratio per 1,000 people and Death rates measure using the same methods (Marston, Knox, Liverman, Del Casino, Robbins, 2019, p. 39). Not only does this contribute to the growing population, but groups of people who weren’t living there whose ethnicity is from Kazakhstan are moving back into their home country. Ethnicity is defined as a “state of belonging to a social group that has a common national or cultural tradition; socially created system of rules about who belongs to a particular group” (Marston, Knox, Liverman, Del Casino, Robbins, 2019, p. 36). Population growth isn’t necessarily a bad thing as long as it is sustainable, but for Kazakhstan population growth can be dangerous as generally they have been struggling with basic economic rights and are being directed to the northern region.
", "keyword": [ "" ], "issued": "2023-05-07T00:12:10.000Z", "modified": "2023-05-07T00:46:21.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ag4283_NAU", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/2a68480a53624f4e80a0bae40a466270" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/2a68480a53624f4e80a0bae40a466270" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=936543d39a1e4df1abfc68edae47d16a", "landingPage": "https://www.cacgeoportal.com/maps/936543d39a1e4df1abfc68edae47d16a", "title": "Troublesome Population growth in Kazakhstan", "description": "", "keyword": [ "adults", "population", "needs", "basic rights" ], "issued": "2023-05-03T22:17:37.000Z", "modified": "2023-05-07T00:33:24.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ag4283_NAU", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "25.1377,31.3687,114.9620,61.9472", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/maps/936543d39a1e4df1abfc68edae47d16a" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=4528346c51084c5b84191204e4ef6d78", "landingPage": "https://www.cacgeoportal.com/apps/4528346c51084c5b84191204e4ef6d78", "title": "Analize of Almaty transport network", "description": "The city of Almaty is one of the largest cities in the Republic of Kazakhstan and has a population of about 2.2 million people (at the end of 2022), about 2.5 million more people live in the urban agglomeration. Almaty is also the largest cultural, industrial and commercial center of the Almaty region. All this contributes to a large flow of people who both work in the city and come from the region to work. In connection with the above, several problems arise:
· Weak development of public transport. The city's road system is relatively undeveloped, with about 165 bus/trolleybus routes. The metro is poorly developed and has only 1 branch. At the same time, a large number of private cars are constantly moving in the city. There are no electric trains or LRT for the suburbs.
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Reliant on smallholders and localized farming, the majority of households in Kazakhstan do not depend on mass-produced foods – a rarity in our globalized world. As such, the effects of harsh winters and blistering summers, coupled with the negative effects of climate change, have left crop yields below desirable levels, thus enhancing the need for community initiatives aimed at achieving food security.
Culturally relevant approaches must be backed financially by global and local organizations in order to best achieve SDGs. In Kazakhstan, highlighting traditional knowledge which links pollinators and crops is one such way to advance the second Sustainable Development Goal: Zero Hunger.
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", "keyword": [ "" ], "issued": "2022-12-01T03:47:08.000Z", "modified": "2022-12-07T04:13:43.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dillonmmm", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/50b892754a7b4b83880e72cdab52d2f6" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/50b892754a7b4b83880e72cdab52d2f6" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=a4a6b1f779be4b64816d1876cfe669b9", "landingPage": "https://www.cacgeoportal.com/apps/LandscapeTeam::world-terrestrial-ecosystems", "title": "World Terrestrial Ecosystems", "description": "Terrestrial ecosystems can be defined by their climate, landform and land cover. The World Terrestrial Ecosystems Map identifies areas with similar terrestrial ecosystem structure.
Ecosystems are distinct areas on the planet which differ based on their environmental settings and assemblages of organisms.
Online explorer tool produced by the U.S Geological Survey, the World Terrestrial Ecosystems Explorer (WTEE), allows for the map-based visualization and query of any terrestrial location on Earth for its ecosystem type and characteristics.
", "keyword": [ "World Ecosystem", "SDGs", "UNSDG", "SDG15", "WorldClimateRegions", "Ecology" ], "issued": "2019-11-13T23:51:38.000Z", "modified": "2022-12-05T21:23:18.000Z", "publisher": { "name": "Living Atlas – Landscape Content " }, "contactPoint": { "@type": "vcard:Contact", "fn": "Deniz_Landscape", "hasEmail": "mailto:cfrye@esri.com" }, "accessLevel": "public", "spatial": "", "license": "This work is licensed under the Esri Master License Agreement.OpenStreetMap geodata downloader that allows you to export the desired layers in GeoJSON format.
List of available layers:
The area of the exported data must not exceed 10 square kilometers at a time.
This tile layer presents a new vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using a creative cartographic style emulating the style of blueprint technical drawing. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.
", "keyword": [ "basemap", "OpenStreetMap", "OSM", "Blueprint", "osmBlueprint", "gcs", "vector", "WGS84" ], "issued": "2019-09-05T20:34:14.000Z", "modified": "2026-05-29T21:27:59.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_vector", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-140.0000,-60.0000,140.0000,60.0000", "license": " This work is licensed under the Esri Master License Agreement.
The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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The Soviet Union was one of the most powerful nations of the 20th century. They were a communist nation that challenged the US. The Soviet Union consisted of 15 republics, the republics include Russia, Estonia, Latvia, Lithuania, Belarus, Ukraine, Moldova, Georgia, Armenia, Azerbaijan, Kazakhstan, Uzbekistan, Turkmenistan, Kyrgyzstan, and Tajikistan. These republics would later become their own seperate countries at the fall of the Soviet Union.
History
The full name of the Soviet Union is the Union of the Soviet Social Republics (U.S.S.R.). It was a country in Northeastern Eurasia. It's borders expanded from the Baltic to Black Seas and expanded to the Pacific Ocean (Britannica). It was the world's largest country by area, it had an area of 8.65 million square miles, it had owned one-sixth of the world's land (Britannica). It had one of the most diversity, it had over 100 distinct nationalities, however the majority of the population was made up of East Slavs, which included Russians, Ukrainians, and Belorussians (Britannica).
", "keyword": [ "" ], "issued": "2022-04-28T17:24:38.000Z", "modified": "2022-06-01T04:47:08.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Wyatt.Dooley_BHSUonline", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/89a192b8fa994595a0c9c6ac9ca4685c" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/89a192b8fa994595a0c9c6ac9ca4685c" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=9c3d368902234d7ab073c75bf9dc2500", "landingPage": "https://www.cacgeoportal.com/apps/9c3d368902234d7ab073c75bf9dc2500", "title": "A Story Map about Kyrgyzstan", "description": "Kyrgyzstan, country of Central Asia. It is bounded by Kazakhstan on the northwest and north, by China on the east and south, and by Tajikistan and Uzbekistan on the south and west. Most of Kyrgyzstan’s borders run along mountain crests. The capital is Bishkek (known from 1862 to 1926 as Pishpek and from 1926 to 1991 as Frunze).This data was found on a site.
The Kyrgyz, a Muslim Turkic people, constitute nearly three-fourths of the population. The history of the Kyrgyz in what is now Kyrgyzstan dates at least to the 17th century. Kyrgyzstan, known under Russian and Soviet rule as Kirgiziya, was conquered by tsarist Russian forces in the 19th century. Formerly a constituent (union) republic of the U.S.S.R., Kyrgyzstan declared its independence on August 31, 1991. This text was taken from this site.
", "keyword": [ "" ], "issued": "2022-04-20T23:04:03.000Z", "modified": "2022-04-28T05:23:37.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "nurllanowa", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/9c3d368902234d7ab073c75bf9dc2500" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/9c3d368902234d7ab073c75bf9dc2500" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0aac6c80d2854afe90a91cc42f1a6ae5", "landingPage": "https://www.cacgeoportal.com/apps/0aac6c80d2854afe90a91cc42f1a6ae5", "title": "KAZAKISTAN", "description": "Il paese è principalmente pianeggiante, se si escludono le pendici montuose orientali e sud-orientali. Il Kazakistan sud-orientale occupa l'estremità settentrionale del Tian Shan e il monte Khan Tengri (7010 m), uno dei più alti picchi del Tian Shan, segna il confine tra la Cina L'altopiano di Ustyurt, un deserto sassoso, si estende dal lago d'Aral verso il Mar Caspio; a sud-est del lago d'Aral c'è il deserto di Kyzylkum che si divide tra il Kazakistan e l'Uzbekistan
I fiumi più importanti sono SYR-DARYA che scorre verso nord-ovest attraverso il Kazakistan meridionale e termina nel lago d'Aral; l'Ural, che scorre verso sud dai monti Urali in Russia e sfocia nel Mar Caspio
", "keyword": [ "" ], "issued": "2022-03-10T13:34:36.000Z", "modified": "2022-04-02T10:12:02.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "santoro06", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/0aac6c80d2854afe90a91cc42f1a6ae5" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/0aac6c80d2854afe90a91cc42f1a6ae5" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=23b7e42c80414428af8bc29fa9a3a114", "landingPage": "https://www.cacgeoportal.com/apps/23b7e42c80414428af8bc29fa9a3a114", "title": "KAZAKISTAN", "description": "Il Kazakistan, ufficialmente Repubblica del Kazakistan, è uno Stato transcontinentale, una parte di cui si trova a cavallo tra Asia ed Europa. Ed è un'ex repubblica dell'Unione Sovietica. La sua capitale è Nūr-Sūltan, precedentemente nota come Astana. Con i suoi 2,7 milioni di km, il Kazakistan è al nono posto tra i più vasti paesi del mondo e ha una superficie pari circa a quella dell'Europa occidentale. Il suo confine con la Russia, a nord e a ovest, lungo 6846 km, è uno dei più lunghi al mondo. Confina inoltre con il Turkmenistan, l'Uzbekistan e il Kirghizistan a sud, e con la Cina a est.
", "keyword": [ "" ], "issued": "2022-03-31T12:23:47.000Z", "modified": "2022-04-01T20:03:37.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "GiadDeLuca", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/23b7e42c80414428af8bc29fa9a3a114" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/23b7e42c80414428af8bc29fa9a3a114" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=c24373065f76456ba6db39c2ffd97191", "landingPage": "https://www.cacgeoportal.com/apps/c24373065f76456ba6db39c2ffd97191", "title": "The Treatment of Uyghur Muslims within Xinjiang, China", "description": "Background
China conquered the Xinjiang region during the Qing dynasty in the mid 18th century. Since then, Uyghur Muslims and other ethnic minorities in the area have continually fought for independence. Now known as the Xinjiang Uyghur Autonomous Region, it shares 5,600 kilometers with neighboring India, Afghanistan, Pakistan, Kazakhstan, Kyrgyzstan, Tajikistan, Russia, and Mongolia.
The region has high economic potential; it is estimated to hold one-third of China's oil and uranium reserves, as well as oil, gas, and mineral industries. The Chinese government has invested heavily into gas pipelines in order to connect Xinjiang with eastern coastal cities. This shows the prioritization of the Belt and Road Initiative, which aims to connect Asia to Europe and Africa in order to promote trade and economic growth. But, the economic benefits of resource development and extraction are disproportionately reaped by the Han Chinese while the Uyghur population is further marginalized. The Chinese government also collects 80% of all profits from the oil and gas industry, which furthers the Uyghur's marginalization. The government also heavily encourages Han migration to the region in order to alter the ethnic balance.
", "keyword": [ "" ], "issued": "2022-03-01T00:43:06.000Z", "modified": "2022-03-15T03:18:35.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "josie_dewey", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/c24373065f76456ba6db39c2ffd97191" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/c24373065f76456ba6db39c2ffd97191" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=639f31f045074979ab5fcc2a93997939", "landingPage": "https://www.cacgeoportal.com/maps/NGMaps::europe-classic-map", "title": "Europe Classic Map", "description": "National Geographic's classic political map of Europe features country boundaries, thousands of place names, waterbodies, airports, major highways and roads, national parks, and much more. Includes the countries and major cities of Albania, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia & Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Macedonia, Moldova, Montenegro, The Netherlands, Norway, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, Ukraine, and the United Kingdom.
", "keyword": [ "Europe", "lbania", "Armenia", "Austria", "Azerbaijan", "Belarus", "Belgium", "Bosnia & Herzegovina", "Bulgaria", "Croatia", "Cyprus", "Czech Republic", "Denmark", "Estonia", "Finland", "France", "Georgia", "Germany", "Greece", "Hungary", "Iceland", "Ireland", "Italy", "Kosovo", "Latvia", "Liechtenstein", "Lithuania", "Luxembourg", "Macedonia", "Moldova", "Montenegro", "The Netherlands", "Norway", "Poland", "Portugal", "Romania", "Russia", "Serbia", "Slovakia", "Slovenia", "Spain", "Sweden", "Switzerland", "Turkey", "Ukraine", "United Kingdom", "Great Britain", "Scandinavia", "Mediterranean" ], "issued": "2014-05-28T04:05:40.000Z", "modified": "2022-03-14T17:16:40.000Z", "publisher": { "name": "National Geographic" }, "contactPoint": { "@type": "vcard:Contact", "fn": "NationalGeographic", "hasEmail": "mailto:mapsinfo@natgeo.com" }, "accessLevel": "public", "spatial": "-77.6190,3.0411,118.0489,84.7725", "license": "All of the map images and vector data (“maps”) published by National Geographic through ArcGIS Online are the exclusive property of National Geographic Society and may not be used for any Commercial, Governmental or Institutional purpose (defined here) without a separate express written license from National Geographic. Visit NatGeoMaps.com/arcgis-online-eula to read the entire End User License Agreement.", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/maps/NGMaps::europe-classic-map" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ca640c38e9924a79a5b51ceb34d80f40", "landingPage": "https://www.cacgeoportal.com/documents/esridech::compare-land-cover-change-from-2018-to-2050", "title": "Compare Land Cover Change from 2018 to 2050", "description": "{{description}}", "keyword": [ "Umwelt", "Data", "Data & Location Services", "environment" ], "issued": "2022-03-14T10:26:14.000Z", "modified": "2022-03-14T10:27:46.000Z", "publisher": { "name": "ArcGIS Demoportal Esri Deutschland & Schweiz" }, "contactPoint": { "@type": "vcard:Contact", "fn": "viko_esridech", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/documents/esridech::compare-land-cover-change-from-2018-to-2050" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://geoxc-apps2.bd.esri.com/LivingAtlas/GlobalLandCoverChangePrediction/index.html" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=66e4a3415afe4789a1c6eed04b5aec6f", "landingPage": "https://www.cacgeoportal.com/apps/UMN::100-trees-potential-planting-sites", "title": "100 Trees: Potential Planting Sites", "description": "{{description}}", "keyword": [], "issued": "2022-02-08T04:32:05.000Z", "modified": "2022-03-11T19:15:44.000Z", "publisher": { "name": "University of Minnesota" }, "contactPoint": { "@type": "vcard:Contact", "fn": "grove412_UMN", "hasEmail": "https://rc.umn.edu/uspatial/help" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/UMN::100-trees-potential-planting-sites" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://umn.maps.arcgis.com/apps/webappviewer/index.html?id=66e4a3415afe4789a1c6eed04b5aec6f" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=473b9de63c5f493384b83f6e17eef0a5", "landingPage": "https://www.cacgeoportal.com/apps/473b9de63c5f493384b83f6e17eef0a5", "title": "Asia Centrale: L'Uzbekistan", "description": "La morfologia del territorio:
Esteso per 1500 km da nord-ovest a sud-est, con una larghezza media che non supera i 300 km, l'Uzbekistan si allunga dalle falde occidentali del massiccio dell'Alaj (a est), che inquadrano la valle del Fergana , sino alle rive del vastissimo lago d'Aral (a ovest), residuo di un antico mare, a soli 53 m di altitudine. Nel territorio si distinguono due zone geomorfologiche e climatiche.
", "keyword": [ "" ], "issued": "2022-03-10T14:48:17.000Z", "modified": "2022-03-11T16:46:02.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "emme_ci", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/473b9de63c5f493384b83f6e17eef0a5" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/473b9de63c5f493384b83f6e17eef0a5" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=fc02dfbd483048298abce76197cecd08", "landingPage": "https://www.cacgeoportal.com/apps/fc02dfbd483048298abce76197cecd08", "title": "UZBEKISTAN", "description": "L'Uzbekistan, ufficialmente Repubblica dell'Uzbekistan è uno Stato dell'Asia centrale. La sua capitale è Tashkent, che conta oltre 2,3 milioni di abitanti. Confina a nord e a ovest con il Kazakistan, a est con il Kirghizistan e il Tagikistan, a sud con l'Afghanistan e il Turkmenistan; insieme al Liechtenstein, è uno degli unici due stati al mondo doppiamente senza sbocco al mare, ovvero, oltre a non avere sbocchi sul mare, confina con Stati anch'essi privi di sbocco sul mare. Le lingue ufficiali sono l'uzbeco, e nella repubblica autonoma del Karakalpakstan, il caracalpaco.
", "keyword": [ "" ], "issued": "2022-03-10T16:26:05.000Z", "modified": "2022-03-10T20:44:52.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "giuseppedigiammartino", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/fc02dfbd483048298abce76197cecd08" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/fc02dfbd483048298abce76197cecd08" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=4c9de6e0ed16491580d55eb2ba2b70dd", "landingPage": "https://www.cacgeoportal.com/apps/4c9de6e0ed16491580d55eb2ba2b70dd", "title": "Turkmenistan", "description": "Il Turkmenistan è una repubblica presidenziale (de facto dittatura totalitaria monopartitica) situata nell'Asia Centrale, con una popolazione di 5,6 milioni di abitanti e Aşgabat come capitale. Confina con l'Iran, l'Afghanistan, l'Uzbekistan e il Kazakistan e si affaccia sul Mar Caspio. È la seconda potenza economica dell'Asia Centrale (dopo il Kazakistan) grazie ai suoi giacimenti ricchi di gas naturale e alla coltivazione del cotone.
", "keyword": [ "" ], "issued": "2022-03-10T19:15:31.000Z", "modified": "2022-03-10T20:04:09.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "joeleientilucci", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/4c9de6e0ed16491580d55eb2ba2b70dd" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/4c9de6e0ed16491580d55eb2ba2b70dd" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=a41db3f7369247f59e674daefd61a0e7", "landingPage": "https://www.cacgeoportal.com/apps/a41db3f7369247f59e674daefd61a0e7", "title": "ASIA CENTRALE", "description": "La zona meridionale è caratterizzata da un paesaggio desertico , in particolare in Turkmenistan e in Uzbekistan, dove si trovano i deserti del Karakum (le Sabbie Nere) e del Kizilkum (le Sabbie Rosse). Nell'area che va dal Mar Caspio al Lago d'Aral si trova invece il bassopiano turanico .Tre grandi fiumi attraversano la regione: ad est il fiume Ural , che sfocia nel Mar Caspio e i fiumi, ora in parte prosciugati, Syr Darya e Amu Darya che si immettono nel lago d’Aral , anch'esso vittima di una catastrofe ambientale che sta portando alla sua scomparsa. Altri laghi della regione sono il Mar Caspio e il lago Balqaš (Kazakhistan).
L'area, per le sue dimensioni, presenta una grande varietà di territori, prevalentemente pianeggianti ad esclusione delle catene montuose ad est. Nella sua parte settentrionale, dal Volga alla Mongolia passando per il Kazakistan, si stende una vasta steppa dove il nomadismo pastorale è stato sempre il sistema di vita più diffuso, anche se oggi in declino.
", "keyword": [ "" ], "issued": "2022-02-28T18:14:38.000Z", "modified": "2022-02-28T18:56:29.000Z", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "antoniogiuliano", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/a41db3f7369247f59e674daefd61a0e7" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/a41db3f7369247f59e674daefd61a0e7" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=e04ea4f7ecbb4e7fb0325dfa24af6969", "landingPage": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::above-and-below-ground-biomass-carbon-and-soil-organic-carbon-to-1m-depth-tonnes-ha", "title": "Above and below ground biomass carbon and soil organic carbon to 1m depth (tonnes/ha)", "description": "This dataset represents above- and below-ground terrestrial carbon\nstorage (tonnes (t) of C per hectare (ha)) for circa 2010.
This layer supports analysis but, if needed, a direct download of the data can be accessed here.
The dataset was constructed by combining the most reliable publicly\navailable datasets and overlying them with the ESA CCI landcover map for the\nyear 2010 [ESA, 2017], assigning to each grid cell the corresponding\nabove-ground biomass value from the biomass map that was most appropriate for\nthe grid cell’s landcover type.
Input carbon datasets were identified through a literature review of\nexisting datasets on biomass carbon in terrestrial ecosystems published in\npeer-reviewed literature. To determine which datasets to combine to produce the\nglobal carbon density map, identified datasets were evaluated based on\nresolution, accuracy, biomass definition and reference date (see table 1 for\nfurther information on datasets selected).
| \n Dataset \n | \n \n Scope \n | \n \n Year \n | \n \n Resolution \n | \n \n Definition \n | \n
| \n Santoro et al. 2018 \n | \n \n Global \n | \n \n 2010 \n | \n \n 100 m \n | \n \n Above-ground woody biomass for trees\n that are >10 cm diameter-at-breast-height, masked to Landsat-derived\n canopy cover for 2010; biomass is expressed as oven-dry weight of the woody\n parts (stem, bark, branches and twigs) of all living trees excluding stump\n and roots. \n | \n
| \n Xia et al. 2014 \n | \n \n Global \n | \n \n 1982-2006 \n | \n \n 8 km \n | \n \n Above-ground grassland biomass. \n | \n
| \n Bouvet et al. 2018 \n | \n \n Africa \n | \n \n 2010 \n | \n \n 25 m \n | \n \n Above-ground woodland and savannah\n biomass; low woody biomass areas, which therefore exclude dense forests and\n deserts. \n | \n
| \n Spawn et al. 2017 \n | \n \n Global \n | \n \n 2010 \n | \n \n 300 m \n | \n \n Synthetic, global above- and\n below-ground biomass maps that combine recently released satellite-based data\n of standing forest biomass with novel estimates for non-forest biomass\n stocks. \n | \n
After aggregating each selected dataset to a nominal scale of 300 m\nresolution, forest categories in the CCI ESA 2010 landcover dataset were used\nto extract above-ground biomass from Santoro et al. 2018 for forest areas.\nWoodland and savanna biomass were then incorporated for Africa from Bouvet et\nal. 2018., and from Santoro et al. 2018 for areas outside of Africa and outside\nof forest. Biomass from croplands, sparse vegetation and grassland landcover\nclasses from CCI ESA, in addition to shrubland areas outside Africa missing\nfrom Santoro et al. 2018, were extracted from were extracted from Xia et al.\n2014. and Spawn et al. 2017 averaged by ecological zone for each landcover\ntype.
Below-ground biomass were added using root-to-shoot ratios from the\n2006 IPCC guidelines for National Greenhouse Gas Inventories (IPCC, 2006). No\nbelow-ground values were assigned to croplands as ratios were unavailable.\nAbove- and below-ground biomass were then summed together and multiplied by 0.5\nto convert to carbon, generating a single above-and-below-ground biomass carbon\nlayer.
", "keyword": [ "unep-wcmc", "biomass", "carbon" ], "issued": "2021-05-04T14:55:46.000Z", "modified": "2021-12-08T15:43:25.000Z", "publisher": { "name": "UN Environment World Conservation Monitoring Centre" }, "contactPoint": { "@type": "vcard:Contact", "fn": "UNEP-WCMC-Publisher", "hasEmail": "mailto: info@unep-wcmc.org" }, "accessLevel": "public", "spatial": "-180.0000,-56.0035,180.0000,84.0000", "license": "https://creativecommons.org/licenses/by-sa/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::above-and-below-ground-biomass-carbon-and-soil-organic-carbon-to-1m-depth-tonnes-ha" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://data-gis.unep-wcmc.org/portal/sharing/servers/374a99fc76574f72bb8c71af7b428d0a/rest/services/World_Biomass_and_Soil_Carbon/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=72cd0b2fc84245b195a027c6b57b370c&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/72cd0b2fc84245b195a027c6b57b370c_0", "title": "OpenStreetMap Medical Facilities for Asia", "description": "This feature layer provides access to OpenStreetMap (OSM) polygon data of medical facilities for Asia, which is updated every 15 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes amenity and building features defined as a query against the hosted feature layer where amenity or building value is any of 'hospital', 'clinic', 'doctors', or 'pharmacy'.This dataset represents above- and below-ground terrestrial carbon\nstorage (tonnes (t) of C per hectare (ha)) for circa 2010.
This layer supports analysis but, if needed, a direct download of the data can be accessed here.
The dataset was constructed by combining the most reliable publicly\navailable datasets and overlying them with the ESA CCI landcover map for the\nyear 2010 [ESA, 2017], assigning to each grid cell the corresponding\nabove-ground biomass value from the biomass map that was most appropriate for\nthe grid cell’s landcover type.
Input carbon datasets were identified through a literature review of\nexisting datasets on biomass carbon in terrestrial ecosystems published in\npeer-reviewed literature. To determine which datasets to combine to produce the\nglobal carbon density map, identified datasets were evaluated based on\nresolution, accuracy, biomass definition and reference date (see table 1 for\nfurther information on datasets selected).
| \n Dataset \n | \n \n Scope \n | \n \n Year \n | \n \n Resolution \n | \n \n Definition \n | \n
| \n Santoro et al. 2018 \n | \n \n Global \n | \n \n 2010 \n | \n \n 100 m \n | \n \n Above-ground woody biomass for trees\n that are >10 cm diameter-at-breast-height, masked to Landsat-derived\n canopy cover for 2010; biomass is expressed as oven-dry weight of the woody\n parts (stem, bark, branches and twigs) of all living trees excluding stump\n and roots. \n | \n
| \n Xia et al. 2014 \n | \n \n Global \n | \n \n 1982-2006 \n | \n \n 8 km \n | \n \n Above-ground grassland biomass. \n | \n
| \n Bouvet et al. 2018 \n | \n \n Africa \n | \n \n 2010 \n | \n \n 25 m \n | \n \n Above-ground woodland and savannah\n biomass; low woody biomass areas, which therefore exclude dense forests and\n deserts. \n | \n
| \n Spawn et al. 2017 \n | \n \n Global \n | \n \n 2010 \n | \n \n 300 m \n | \n \n Synthetic, global above- and\n below-ground biomass maps that combine recently released satellite-based data\n of standing forest biomass with novel estimates for non-forest biomass\n stocks. \n | \n
After aggregating each selected dataset to a nominal scale of 300 m\nresolution, forest categories in the CCI ESA 2010 landcover dataset were used\nto extract above-ground biomass from Santoro et al. 2018 for forest areas.\nWoodland and savanna biomass were then incorporated for Africa from Bouvet et\nal. 2018., and from Santoro et al. 2018 for areas outside of Africa and outside\nof forest. Biomass from croplands, sparse vegetation and grassland landcover\nclasses from CCI ESA, in addition to shrubland areas outside Africa missing\nfrom Santoro et al. 2018, were extracted from were extracted from Xia et al.\n2014. and Spawn et al. 2017 averaged by ecological zone for each landcover\ntype.
Below-ground biomass were added using root-to-shoot ratios from the\n2006 IPCC guidelines for National Greenhouse Gas Inventories (IPCC, 2006). No\nbelow-ground values were assigned to croplands as ratios were unavailable.\nAbove- and below-ground biomass were then summed together and multiplied by 0.5\nto convert to carbon, generating a single above-and-below-ground biomass carbon\nlayer.
This dataset has not been validated.
", "keyword": [ "biomass", "carbon", "unep-wcmc" ], "issued": "2021-05-04T15:00:16.000Z", "modified": "2021-05-10T15:23:24.000Z", "publisher": { "name": "UN Environment World Conservation Monitoring Centre" }, "contactPoint": { "@type": "vcard:Contact", "fn": "UNEP-WCMC-Publisher", "hasEmail": "mailto: info@unep-wcmc.org" }, "accessLevel": "public", "spatial": "-180.0000,-62.8496,180.0000,89.0000", "license": "https://creativecommons.org/licenses/by-sa/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::above-and-below-ground-biomass-carbon-tonnes-ha" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://data-gis.unep-wcmc.org/portal/sharing/servers/8a8d4e24683a46e6b039aea78c8af20f/rest/services/World_Biomass_Carbon/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=c1fb75a264e1495cb81966288f423f5f", "landingPage": "https://www.cacgeoportal.com/maps/cacgeoportal::ookla-internet-speed-dataset", "title": "Ookla Internet Speed Dataset", "description": "This service is subset of the Ookla Speedtest Open Dataset.This work is licensed under the Esri Master License Agreement.
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
The United States Geological Survey has published "An assessment of the representation of ecosystems in global protected areas using new maps of World Climate Regions and World Ecosystems" in Global Ecology and Conservation Journal. This work was produced by a team led by Roger Sayre, Ph.D., Senior Scientist for Ecosytems at the USGS Land Change Science Program with the support from The Nature Conservancy and Esri.
We described this work using two introduction story maps, Introduction to World Ecosystems Map and Introduction to World Climate Regions Map. This story map is an introduction for World Climate Regions Map. You can have more information by accessing the published paper and you can access the dataset by downloading the pro package.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Seismic Hazard Maps depict the level of chosen ground motions that likely will, or will not, be exceeded in a given time span. Hazard assessment programs commonly specify a 10% chance of exceedance (or a 90% chance of non-exceedance) of a ground motion parameter for an exposure time of 50 years, corresponding to a return period of 475 years. The Seismic Hazard Data describes the peak ground acceleration (PGA, ms-2).
Карты сейсмической опасности отображают выбранный уровень подвижек грунта, который, вероятно, будет превышен или не будет превышен в течение определенного периода времени. В программах оценки опасности обычно указывается 10%-ная вероятность превышения (или 90%-ная вероятность непревышения) параметра движения грунта при продолжительности воздействия в 50 лет, что соответствует периоду возврата в 475 лет. Данные о сейсмической опасности описывают пиковое ускорение грунта (PGA, ms-2).
http://gmo.gfz-potsdam.de/pub/gshap_data/gshap_data_frame.html
HydroLAKES \naims to provide the shoreline polygons of all global lakes with a \nsurface area of at least 10 ha. HydroLAKES has been developed using a \nsuite of auxiliary data sources of lake polygons and gridded lake \nsurface areas. All lakes are co-registered to the global river network \nof the HydroSHEDS database via their lake pour points. The global \ncoverage of HydroLAKES encompasses 1.4 million individual lakes or \nreservoirs representing a total surface area of 2.67 million km², a \ntotal shoreline length of 7.2 million km, and a total storage volume of \n181,900 km³. HydroLAKES only includes a limited amount of (mostly \ngeometric) attribute information, such as surface area, shoreline \nlength, and estimates of average depth, water volume and residence time.\n Every lake is also co-registered to a river reach of the HydroRIVERS \ndataset and a sub-basin of the HydroBASINS database (via shared IDs).
Note that the overarching HydroATLAS\n database fully contains all lakes of HydroLAKES, which have \nadditionally been enhanced in HydroATLAS with a large number of \nhydro-environmental characteristics.
This work is licensed under the Esri Master License Agreement.
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The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
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This is subset of the original dataset. Data is clipped to extent boundaries and filtered by field (DIS_AV_CMS >= 1). A link to the original dataset and its description is below.
https://www.hydrosheds.org/hydroatlas
HydroATLAS offers a global compendium of hydro-environmental characteristics for all sub-basins of HydroBASINS, all river reaches of HydroRIVERS, and all lake polygons of HydroLAKES.
The HydroATLAS database is divided into three distinct sub-datasets: BasinATLAS, RiverATLAS, and LakeATLAS which represent sub-basin delineations (polygons), the river network (lines), and lake shorelines (polygons), respectively. In total, HydroATLAS contains 1.0 million sub-basins, 8.5 million river reaches, and 1.4 million lakes.
HydroATLAS has been created by compiling and re-formatting a wide range of hydro-environmental attributes derived from existing global datasets in a consistent and organized manner. The resulting data compendium offers attributes grouped in seven categories: hydrology; physiography; climate; land cover & use; soils & geology; and anthropogenic influences. For each of the three sub-datasets, HydroATLAS contains 56 hydro-environmental variables, partitioned into 281 individual attributes.
The HydroATLAS database is distributed in large file sizes due to the enriched attribute information. Users who only need geometric information and digital vector maps of sub-basin boundaries, river network lines, and lake shorelines may prefer to download the HydroBASINS, HydroRIVERS, or HydroLAKES products instead.
", "keyword": [ "" ], "issued": "2024-06-21T13:59:25.000Z", "modified": "2024-06-21T14:29:21.277Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ykopin_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "42.7827,35.1614,87.6127,55.6918", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/cacgeoportal::riveratlas-v10-rivers" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services8.arcgis.com/GyR85gR88mMqIY4t/arcgis/rest/services/RiverATLAS_v10_Rivers/FeatureServer/0" }, { "@type": "dcat:Distribution", "title": "CSV", "format": "CSV", "mediaType": "text/csv", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/csv?layers=0" }, { "@type": "dcat:Distribution", "title": "Shapefile", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/shapefile?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoJSON", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/geojson?layers=0" }, { "@type": "dcat:Distribution", "title": "KML", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/kml?layers=0" }, { "@type": "dcat:Distribution", "title": "File Geodatabase", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/filegdb?layers=0" }, { "@type": "dcat:Distribution", "title": "Feature Collection", "format": "TXT", "mediaType": "text/plain", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/featureCollection?layers=0" }, { "@type": "dcat:Distribution", "title": "Excel", "format": "XLSX", "mediaType": "application/vnd.ms-excel", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/excel?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoPackage", "format": "GPKG", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/geoPackage?layers=0" }, { "@type": "dcat:Distribution", "title": "SQLite Geodatabase", "format": "GDB", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/8ee1b502377541f0ae45f3cf4842d0d8/sqlite?layers=0" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=312235dfe2a743348a1466de1796e2c5", "landingPage": "https://www.cacgeoportal.com/maps/cacgeoportal::air-quality-sensors-uzbekistan", "title": "air quality sensors Uzbekistan", "description": "Наблюдения за состоянием атмосферного воздуха на территории Республики Узбекистан ведутся в 26 городах на 66 стационарных пунктах наблюдения (ПНЗ) и 16 автоматических станциях. Наблюдения на стационарных постах проводятся ежедневно (кроме воскресенья и праздничных дней) с периодичностью 3 раза в сутки (7:00; 13:00; 19:00 по местному времени).
Источник https://monitoring.meteo.uz/ru/map
uz_airmon_sensors - текущие показания датчиков
uz_airmon_sensors_archive - архив наблюдений
***
Observations of the state of atmospheric air on the territory of the Republic of Uzbekistan are conducted in 26 cities at 66 stationary pollution observation points (POP) and 16 automatic stations. Observations at stationary posts are carried out daily (except Sundays and holidays) with a frequency of 3 times a day (7:00; 13:00; 19:00 local time). https://monitoring.meteo.uz/en/map
uz_airmon_sensors - current sensor observations
uz_airmon_sensors_archive - archive of observations
_____________________________________________________________________________________
Степень загрязнения воздуха оценивается при сравнении фактических концентраций примесей (в мг/м3, мкг/м3) с предельно допустимыми концентрациями (ПДК) загрязняющего вещества в атмосферном воздухе.
ПДК – концентрация, не оказывающая в течение всей жизни прямого или косвенного неблагоприятного действия на настоящее или будущие поколения, не снижающая работоспособности человека, не ухудшающая его самочувствия и санитарно-бытовых условий жизни. Величины ПДК приведены в мг вещества на 1м3 воздуха (мг/м3).
ПДК м.р. – предельно допустимая максимальная разовая концентрация загрязняющего вещества в воздухе населенных мест, в мг/м3;
ПДК с.с. – предельно допустимая среднесуточная концентрация загрязняющего вещества в воздухе населенных мест, мг/м3.
Предельно допустимые концентрации загрязняющих веществ
| Примесь | Значения ПДК, мг/м3 | ||
максимально-разовая (ПДКм.р.) | среднесуточная (ПДКс.с.) | среднегодовая (ПДКс.г.) | |
| Основные загрязняющие вещества | |||
| Диоксид серы | 0,5 | 0,05 | 0,05 |
| Оксид углерода | 5 | 3 | 3 |
| Диоксид азота | 0,085 | 0,04 | 0,04 |
| Оксид азота | 0,4 | 0,06 | 0,06 |
| Взвешенные вещества | 0,5 | 0,15 | 0,15 |
| Специфические загрязняющие вещества | |||
| Аммиак | 0,2 | 0,04 | 0,04 |
| Озон | 0,16 | 0,03 | 0,03 |
| Фенол | 0,01 | 0,006 | 0,006 |
| Формальдегид | 0,05 | 0,01 | 0,01 |
Интегральным показателем уровня загрязнения атмосферного воздуха является Индекс загрязнения атмосферного воздуха (ИЗА), который рассчитывается по пяти ингредиентам, имеющим наиболее высокие концентрации для данной территории и учитывает класс опасности веществ.
ИЗА является удобной санитарно-гигиенической характеристикой для оценки динамики уровня загрязнения атмосферного воздуха для конкретных населенных пунктов, где проводятся стационарные наблюдения. ИЗА характеризует уровень хронического, длительного загрязнения воздуха.
Уровень загрязнения воздуха считается низким - при ИЗА до 5, повышенным при ИЗА от 5 до 7, высоким при ИЗА от 7 до 14, очень высоким при ИЗА от 14.
Уровень загрязнения | Значение ИЗА | Цвет | Рекомендуемые меры предосторожности |
низкий |
от 0 до 5
| Продолжить пребывание на свежем воздухе в обычном режиме. Гуляние в парках, зонах отдыха не ограничено. | |
повышенный |
от 5 до 7
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, сократить пребывание на свежем воздухе, а также сократить длительные и интенсивные упражнения на открытом воздухе. | |
высокий |
от 7 до 14
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, сократить пребывание, а также не проводить длительных и интенсивных занятий и упражнений на открытом воздухе. Любым людям, испытывающим дискомфорт: боль в глазах, в горле, кашель, уменьшить активность на открытом воздухе. | |
очень высокий |
от 14 и выше
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, оставаться в помещении, избегать тяжелых физических нагрузок. Людям, страдающим астмой чаще использовать ингалятор для облегчения состояния. Населению в целом сократить деятельность на открытом воздухе. При выходе из помещений надевать маски. |
Наблюдения за состоянием атмосферного воздуха на территории Республики Узбекистан ведутся в 26 городах на 66 стационарных пунктах наблюдения (ПНЗ) и 16 автоматических станциях. Наблюдения на стационарных постах проводятся ежедневно (кроме воскресенья и праздничных дней) с периодичностью 3 раза в сутки (7:00; 13:00; 19:00 по местному времени).
Источник https://monitoring.meteo.uz/ru/map
uz_airmon_sensors - текущие показания датчиков
uz_airmon_sensors_archive - архив наблюдений
***
Observations of the state of atmospheric air on the territory of the Republic of Uzbekistan are conducted in 26 cities at 66 stationary pollution observation points (POP) and 16 automatic stations. Observations at stationary posts are carried out daily (except Sundays and holidays) with a frequency of 3 times a day (7:00; 13:00; 19:00 local time). https://monitoring.meteo.uz/en/map
uz_airmon_sensors - current sensor observations
uz_airmon_sensors_archive - archive of observations
_____________________________________________________________________________________
Степень загрязнения воздуха оценивается при сравнении фактических концентраций примесей (в мг/м3, мкг/м3) с предельно допустимыми концентрациями (ПДК) загрязняющего вещества в атмосферном воздухе.
ПДК – концентрация, не оказывающая в течение всей жизни прямого или косвенного неблагоприятного действия на настоящее или будущие поколения, не снижающая работоспособности человека, не ухудшающая его самочувствия и санитарно-бытовых условий жизни. Величины ПДК приведены в мг вещества на 1м3 воздуха (мг/м3).
ПДК м.р. – предельно допустимая максимальная разовая концентрация загрязняющего вещества в воздухе населенных мест, в мг/м3;
ПДК с.с. – предельно допустимая среднесуточная концентрация загрязняющего вещества в воздухе населенных мест, мг/м3.
Предельно допустимые концентрации загрязняющих веществ
| Примесь | Значения ПДК, мг/м3 | ||
максимально-разовая (ПДКм.р.) | среднесуточная (ПДКс.с.) | среднегодовая (ПДКс.г.) | |
| Основные загрязняющие вещества | |||
| Диоксид серы | 0,5 | 0,05 | 0,05 |
| Оксид углерода | 5 | 3 | 3 |
| Диоксид азота | 0,085 | 0,04 | 0,04 |
| Оксид азота | 0,4 | 0,06 | 0,06 |
| Взвешенные вещества | 0,5 | 0,15 | 0,15 |
| Специфические загрязняющие вещества | |||
| Аммиак | 0,2 | 0,04 | 0,04 |
| Озон | 0,16 | 0,03 | 0,03 |
| Фенол | 0,01 | 0,006 | 0,006 |
| Формальдегид | 0,05 | 0,01 | 0,01 |
Интегральным показателем уровня загрязнения атмосферного воздуха является Индекс загрязнения атмосферного воздуха (ИЗА), который рассчитывается по пяти ингредиентам, имеющим наиболее высокие концентрации для данной территории и учитывает класс опасности веществ.
ИЗА является удобной санитарно-гигиенической характеристикой для оценки динамики уровня загрязнения атмосферного воздуха для конкретных населенных пунктов, где проводятся стационарные наблюдения. ИЗА характеризует уровень хронического, длительного загрязнения воздуха.
Уровень загрязнения воздуха считается низким - при ИЗА до 5, повышенным при ИЗА от 5 до 7, высоким при ИЗА от 7 до 14, очень высоким при ИЗА от 14.
Уровень загрязнения | Значение ИЗА | Цвет | Рекомендуемые меры предосторожности |
низкий |
от 0 до 5
| Продолжить пребывание на свежем воздухе в обычном режиме. Гуляние в парках, зонах отдыха не ограничено. | |
повышенный |
от 5 до 7
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, сократить пребывание на свежем воздухе, а также сократить длительные и интенсивные упражнения на открытом воздухе. | |
высокий |
от 7 до 14
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, сократить пребывание, а также не проводить длительных и интенсивных занятий и упражнений на открытом воздухе. Любым людям, испытывающим дискомфорт: боль в глазах, в горле, кашель, уменьшить активность на открытом воздухе. | |
очень высокий |
от 14 и выше
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, оставаться в помещении, избегать тяжелых физических нагрузок. Людям, страдающим астмой чаще использовать ингалятор для облегчения состояния. Населению в целом сократить деятельность на открытом воздухе. При выходе из помещений надевать маски. |
Наблюдения за состоянием атмосферного воздуха на территории Республики Узбекистан ведутся в 26 городах на 66 стационарных пунктах наблюдения (ПНЗ) и 16 автоматических станциях. Наблюдения на стационарных постах проводятся ежедневно (кроме воскресенья и праздничных дней) с периодичностью 3 раза в сутки (7:00; 13:00; 19:00 по местному времени).
Источник https://monitoring.meteo.uz/ru/map
uz_airmon_sensors - текущие показания датчиков
uz_airmon_sensors_archive - архив наблюдений
***
Observations of the state of atmospheric air on the territory of the Republic of Uzbekistan are conducted in 26 cities at 66 stationary pollution observation points (POP) and 16 automatic stations. Observations at stationary posts are carried out daily (except Sundays and holidays) with a frequency of 3 times a day (7:00; 13:00; 19:00 local time). https://monitoring.meteo.uz/en/map
uz_airmon_sensors - current sensor observations
uz_airmon_sensors_archive - archive of observations
_____________________________________________________________________________________
Степень загрязнения воздуха оценивается при сравнении фактических концентраций примесей (в мг/м3, мкг/м3) с предельно допустимыми концентрациями (ПДК) загрязняющего вещества в атмосферном воздухе.
ПДК – концентрация, не оказывающая в течение всей жизни прямого или косвенного неблагоприятного действия на настоящее или будущие поколения, не снижающая работоспособности человека, не ухудшающая его самочувствия и санитарно-бытовых условий жизни. Величины ПДК приведены в мг вещества на 1м3 воздуха (мг/м3).
ПДК м.р. – предельно допустимая максимальная разовая концентрация загрязняющего вещества в воздухе населенных мест, в мг/м3;
ПДК с.с. – предельно допустимая среднесуточная концентрация загрязняющего вещества в воздухе населенных мест, мг/м3.
Предельно допустимые концентрации загрязняющих веществ
| Примесь | Значения ПДК, мг/м3 | ||
максимально-разовая (ПДКм.р.) | среднесуточная (ПДКс.с.) | среднегодовая (ПДКс.г.) | |
| Основные загрязняющие вещества | |||
| Диоксид серы | 0,5 | 0,05 | 0,05 |
| Оксид углерода | 5 | 3 | 3 |
| Диоксид азота | 0,085 | 0,04 | 0,04 |
| Оксид азота | 0,4 | 0,06 | 0,06 |
| Взвешенные вещества | 0,5 | 0,15 | 0,15 |
| Специфические загрязняющие вещества | |||
| Аммиак | 0,2 | 0,04 | 0,04 |
| Озон | 0,16 | 0,03 | 0,03 |
| Фенол | 0,01 | 0,006 | 0,006 |
| Формальдегид | 0,05 | 0,01 | 0,01 |
Интегральным показателем уровня загрязнения атмосферного воздуха является Индекс загрязнения атмосферного воздуха (ИЗА), который рассчитывается по пяти ингредиентам, имеющим наиболее высокие концентрации для данной территории и учитывает класс опасности веществ.
ИЗА является удобной санитарно-гигиенической характеристикой для оценки динамики уровня загрязнения атмосферного воздуха для конкретных населенных пунктов, где проводятся стационарные наблюдения. ИЗА характеризует уровень хронического, длительного загрязнения воздуха.
Уровень загрязнения воздуха считается низким - при ИЗА до 5, повышенным при ИЗА от 5 до 7, высоким при ИЗА от 7 до 14, очень высоким при ИЗА от 14.
Уровень загрязнения | Значение ИЗА | Цвет | Рекомендуемые меры предосторожности |
низкий |
от 0 до 5
| Продолжить пребывание на свежем воздухе в обычном режиме. Гуляние в парках, зонах отдыха не ограничено. | |
повышенный |
от 5 до 7
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, сократить пребывание на свежем воздухе, а также сократить длительные и интенсивные упражнения на открытом воздухе. | |
высокий |
от 7 до 14
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, сократить пребывание, а также не проводить длительных и интенсивных занятий и упражнений на открытом воздухе. Любым людям, испытывающим дискомфорт: боль в глазах, в горле, кашель, уменьшить активность на открытом воздухе. | |
очень высокий |
от 14 и выше
| Детям, пожилым и сверхчувствительным людям, испытывающим дискомфорт при дыхании, оставаться в помещении, избегать тяжелых физических нагрузок. Людям, страдающим астмой чаще использовать ингалятор для облегчения состояния. Населению в целом сократить деятельность на открытом воздухе. При выходе из помещений надевать маски. |
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.This work is licensed under the Esri Master License Agreement.
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The exposure of populations to high levels of small particles increases the risk of respiratory and cardiovascular illnesses. The World Health Organization (WHO) guidelines provide long-term and short-term exposure limits to PM10 and PM2.5:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
The point and polygon layers within this geodatabase present the global distribution of selected mineral resource features (deposits, mines, districts, mineral regions) for minerals or mineral commodities considered critical to the economy and security of the United States as of 2017. These data complement the report by Schulz and others (2017) which provides national and global information on critical minerals - antimony (Sb), barite (barium, Ba), beryllium (Be), cobalt (Co), fluorite or fluorspar (fluorine, F), gallium (Ga), graphite (carbon, C), manganese (Mn), rare-earth elements (REE), rhenium (Re), tellurium (Te), tin (Sn) and titanium (Ti) resources in the region. These geospatial data and the accompanying report are an update to information published in 1973 in U.S. Geological Survey Professional Paper 820, United States Mineral Resources. For the current and full discussion of the individual critical minerals, their uses, identified resources, national and global distribution, geologic overview, resource assessment, and geoenvironmental considerations see: Schulz, K.J., DeYoung, J.H., Jr., Seal, R.R., II, and Bradley, D.C., eds., 2017, Critical mineral resources of the United States—Economic and environmental geology and prospects for future supply: U.S. Geological Survey Professional Paper 1802, 777 p., https://doi.org/10.3133/pp1802
Map services and data downloaded from U.S. Geological Survey Mineral Resources Data System (MRDS) are free and in the public domain. There are no restrictions; however, we request that the following acknowledgment statement be included in products and data derived from our map services when citing, copying, or reprinting: "Map services and data are available from the U.S. Geological Survey Mineral Resources Data System (MRDS), provided by the U.S. Geological Survey via https://doi.org/10.3133/ds20."
Publication Citation: The full citation for use in academic papers and otherwise where applicable is as follows: Mason, G.T. and Arndt, R.E., 1996, Mineral Resources Data System (MRDS): USGS Data Series 20, https://doi.org/10.3133/ds20.
This layer contains a collection of reports describing metallic and nonmetallic mineral resources in Central Asia and Caucasus region as sourced from Mineral Resources Data System (MRDS) created by United States Geological Survey. This data includes the deposit name, location, commodity, deposit description, geologic characteristics, production, reserves, resources, and references.
Resource descriptions here include an indication of the overall quantity and diversity of information they contain. Many records in this database are simple reports of commodity at some location, but some records provide substantial detail of the geological setting and industrial exploitation of the resource.
More information on this dataset can be found on this FAQ page.
The commodities are abbreviated using short codes rather than full names. This table gives the codes and their meanings.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.
ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder.
Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.
Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.
Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.
Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.
Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.
Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.
Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.
Resources Available on ESRI’s Living Atlas
ACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:
The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)
A conservative estimate of reported fatalities per admin1-month
The total number of distinct violent actors active in the corresponding admin1 for each month
Resources Available on the ACLED Website
The fully disaggregated dataset is available for download on ACLED's website including:
Date (day, month, year)
Actors, associated actors, and actor types
Location information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)
A conservative fatality estimate
Disorder type, event types, and sub-event types
Tags further categorizing the data
A notes column providing a narrative of the event
For more information, please see the ACLED Codebook.
To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).
The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.
ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder.
Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.
Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.
Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.
Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.
Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.
Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.
Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.
Resources Available on ESRI’s Living Atlas
ACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:
The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)
A conservative estimate of reported fatalities per admin1-month
The total number of distinct violent actors active in the corresponding admin1 for each month
Resources Available on the ACLED Website
The fully disaggregated dataset is available for download on ACLED's website including:
Date (day, month, year)
Actors, associated actors, and actor types
Location information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)
A conservative fatality estimate
Disorder type, event types, and sub-event types
Tags further categorizing the data
A notes column providing a narrative of the event
For more information, please see the ACLED Codebook.
To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).
This layer shows particulate matter in the air sized 2.5 micrometers of smaller (PM 2.5). The data is aggregated from NASA Socioeconomic Data and Applications Center (SEDAC) gridded data into country boundaries, administrative 1 boundaries, and 50 km hex bins. The unit of measurement is micrograms per cubic meter.
The layer shows the annual average PM 2.5 from 1998 to 2016, highlighting if the overall mean for an area meets the 2021 World Health Organization guideline of 10 micrograms per cubic meter annually. Areas that don't meet the guideline and are above the threshold are shown in red, and areas that are lower than the guideline are in grey.
This work is licensed under the Esri Master License Agreement.This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
This layer shows particulate matter in the air sized 2.5 micrometers of smaller (PM 2.5). The data is aggregated from NASA Socioeconomic Data and Applications Center (SEDAC) gridded data into country boundaries, administrative 1 boundaries, and 50 km hex bins. The unit of measurement is micrograms per cubic meter.
The layer shows the annual average PM 2.5 from 1998 to 2016, highlighting if the overall mean for an area meets the 2021 World Health Organization guideline of 10 micrograms per cubic meter annually. Areas that don't meet the guideline and are above the threshold are shown in red, and areas that are lower than the guideline are in grey.
This work is licensed under the Esri Master License Agreement.This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It presents the map in a cartographic style is like a blueprint technical drawing.Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a light neutral style with minimal colors. It is designed to be used with the OpenStreetMap Light Gray Canvas Reference (WGS84) layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed reference layer for the world featuring map labels. It is designed to be used with the OpenStreetMap Light Gray Canvas Base (WGS84) layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.
", "keyword": [ "basemap", "OpenStreetMap", "OSM", "Light Gray Canvas", "osmLightgrayreference", "gcs", "vector", "WGS84" ], "issued": "2020-02-25T22:10:09.000Z", "modified": "2025-08-29T09:49:34.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_vector", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-140.0000,-60.0000,140.0000,60.0000", "license": " This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a light neutral style with minimal colors. It is designed for use with OpenStreetMap Light Gray Canvas Base. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a light neutral style with minimal colors, OpenStreetMap (Esri Light Gray Canvas Base) and also an overlaying reference layer, OpenStreetMap (Esri Light Gray Canvas Reference). Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a dark neutral style with minimal colors. It is designed for use with OpenStreetMap Dark Gray Canvas Reference. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a dark neutral style with minimal colors. It is designed to be used with the OpenStreetMap Dark Gray Canvas Base layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
", "keyword": [ "basemap", "OpenStreetMap", "OSM", "Dark Gray Canvas", "osmDarkgrayreference", "wma", "vector" ], "issued": "2020-03-05T21:59:38.000Z", "modified": "2025-08-29T09:41:34.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_vector", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-140.0000,-60.0000,140.0000,60.0000", "license": " This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a dark neutral style with minimal colors. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a dark neutral style with minimal colors. It is designed to be used with the OpenStreetMap Dark Gray Canvas Base layer. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a dark neutral style with minimal colors, OpenStreetMap Dark Gray Canvas Base and also an overlaying reference layer, OpenStreetMap Dark Gray Canvas Reference. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. It provides a detailed base layer for the world featuring a dark neutral style with minimal colors, OpenStreetMap Dark Gray Canvas Base (WGS84) and also an overlaying reference layer, OpenStreetMap Dark Gray Canvas Reference (WGS84). Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. See blog for more information.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. See blog for more information.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This 3D scene layer presents OpenStreetMap (OSM) buildings data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available.
You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.
", "keyword": [ "baselayer3D", "OpenStreetMap", "OSM", "3D Buildings", "osm3dbuildings", "I3S" ], "issued": "2022-06-03T19:33:22.000Z", "modified": "2025-08-29T09:12:25.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": " This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. See blog for more information.
This 3D scene layer presents OpenStreetMap (OSM) trees data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available.
You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This 3D scene layer presents OpenStreetMap (OSM) trees data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available.
You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.
", "keyword": [ "baselayer3D", "OpenStreetMap", "OSM", "3D Trees", "osm3dtreesthematic", "I3S" ], "issued": "2022-06-10T18:14:46.000Z", "modified": "2025-08-29T09:09:46.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": " This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. See blog for more information.
This web scene features OpenStreetMap (OSM) 3D buildings and trees layers hosted by Esri. Esri created the 3D scene layers of buildings and trees from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting the layers in this scene are no longer available.
You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
", "keyword": [ "OSM", "OpenStreetMap", "OpenStreetMap3D_Buildings_v1", "OpenStreetMap3D_Trees_Realistic_v1", "Open Street Map", "v1" ], "issued": "2022-06-20T19:27:21.000Z", "modified": "2025-08-29T09:08:26.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": " This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.
Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.
", "keyword": [ "basemap", "OpenStreetMap", "OSM", "Navigation", "osmNavigation", "gcs", "vector", "streets", "roads", "transportation", "WGS84" ], "issued": "2022-05-24T04:52:51.000Z", "modified": "2025-08-29T09:05:46.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_vector", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-140.0000,-60.0000,140.0000,60.0000", "license": " This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a style similar to the Esri Navigation map. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
Precise Tile Registration: The tile layer uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.
", "keyword": [ "basemap", "OpenStreetMap", "OSM", "Navigation Dark", "osmNavigationdark", "gcs", "vector", "night", "WGS84" ], "issued": "2022-06-09T06:23:22.000Z", "modified": "2025-08-29T09:00:24.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_vector", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-140.0000,-60.0000,140.0000,60.0000", "license": " This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a style similar to the Esri Navigation Dark Mode map. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
This web application highlights some of the capabilities for accessing Sentinel-2 imagery layers, powered by ArcGIS for Server, accessing Landsat Public Datasets running on the Amazon Web Services Cloud. The layers are updated with new Sentinel-2 images on a daily basis.
Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Sentinel-2 Explorer app provides the power of Sentinel-2 satellites, which gather data beyond what the eye can see. Use this app to draw on Sentinel's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the Sentinel-2 archive to visualize how the Earth's surface has changed over the last fourteen months
Quick access to the following band combinations and indices is provided:
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
", "keyword": [ "imagery", "Sentinel", "Sentinel-2", "multispectral", "temporal", "multitemporal", "earth" ], "issued": "2018-05-22T22:05:42.000Z", "modified": "2025-08-29T00:50:18.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_imagery", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "
Mature Support Notice: This item is in mature support as of December 2024. See blog for more information.
This app features a vector basemap of OpenStreetMap (OSM) data hosted by Esri. Esri created this vector tile basemap from the Daylight map distribution of OSM data, which is supported by Facebook and supplemented with additional data from Microsoft. This version of the map is rendered using OSM cartography.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/esri::openstreetmap-vector-basemap-1" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://esri.maps.arcgis.com/apps/View/index.html?appid=d6b18a2e774c4959ba855f6ac90952a2" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ec4d1d1fe03a4e62997a7a9397cf644d", "landingPage": "https://www.cacgeoportal.com/datasets/esri::land-cover-2050-regional", "title": "Land Cover 2050 - Regional", "description": "Use this regional model layer when performing analysis within a single continent. This layer displays a single global land cover map that is modeled by region for the year 2050 at a pixel resolution of 300m. ESA CCI land cover from the years 2010 and 2018 were used to create this prediction.A web application developed as part of the DEvision project, providing access to view and download posters of the cities of Yerevan and Bishkek, created based on Sentinel imagery.
The DEvision project is co-funded by APPEAR - a program of the Austrian Development Cooperation and generously supported by Esri.
Created within the DEvision project led by A.Nazarkulova and J.Strobl by (c) eoVision, based on Sentinel 2A/B imagery (c) ESA from Aug 23 2024 (Yerevan) and Aug 25 2024 (Bishkek).
", "keyword": [], "issued": "2025-08-07T09:30:05.000Z", "modified": "2025-08-07T10:35:46.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "For non-commercial use only.
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::devision-cities-sentinel-2-imagery-and-posters-for-yerevan-and-bishkek" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://zgis.maps.arcgis.com/apps/instant/imageryviewer/index.html?appid=6db402c5fcef4626902a3e6762e54e97" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=18f2579834584abfa986bedaf8fd4e5b", "landingPage": "https://www.cacgeoportal.com/apps/COBC::airport-courtesy-car-survey-1", "title": "Airport Courtesy Car Survey", "description": "", "keyword": [ "Parks", "Survey" ], "issued": "2024-08-08T16:36:44.000Z", "modified": "2025-08-05T13:55:49.000Z", "publisher": { "name": "City of Bay City" }, "contactPoint": { "@type": "vcard:Contact", "fn": "njones@baycitymi.gov_COBC", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/COBC::airport-courtesy-car-survey-1" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://cobc.maps.arcgis.com/apps/instant/basic/index.html?appid=18f2579834584abfa986bedaf8fd4e5b" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=19e7a7e2ffa245a9ad78152ba0e576a7", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal-hub::качество-и-уровень-жизни-городов-карагандинской-агломерации", "title": "Качество и уровень жизни городов Карагандинской агломерации", "description": "Основные функции:
Автоматическое переключение слоёв при масштабировании (города ↔ районы)
Интерактивные pop-up с показателями:
Для городов: Название, население, общий балл
Для районов: Оценки компонентов среды
Поиск городов
Переключение подложек карты
Визуальные индикаторы:
Динамические легенды (автоматически меняются при смене масштаба)
Автор - студент 3-го курса КФ МГУ (Бикбаева Карина)
Базовый уровень дефицита воды измеряет соотношение общего объема водозабора к имеющимся возобновляемым запасам поверхностных и подземных вод. Более высокое соотношение указывает на усиление конкуренции между пользователями. Затем эти соотношения были преобразованы в показатели риска на основе пороговых значений, определенных в методологии. Эти показатели риска варьируются от низкого уровня дефицита воды (<10%) до чрезвычайно высокого уровня дефицита воды (>80%). Водозабор включает в себя использование воды в бытовых, промышленных целях, для орошения и животноводства в потребительских и непотребительских целях. Доступные возобновляемые источники водоснабжения включают поверхностные и подземные воды, а также влияние интенсивного водопользования в верховьях рек и крупных плотин на доступность воды в низовьях рек. Значения водного дефицита доступны для каждого суббассейна (уровень 6 HydroBASIN).
", "keyword": [ "Hydrology", "Aqueduct", "WRI", "Water risks" ], "issued": "2025-07-11T11:19:54.000Z", "modified": "2025-07-11T12:01:02.000Z", "publisher": { "name": "Central Asia and Caucasus GeoPortal Hub Community" }, "contactPoint": { "@type": "vcard:Contact", "fn": "Edka27112", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "39.7422,33.1747,89.4444,55.6778", "license": "Нет
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/maps/cacgeoportal-hub::aqueduct-baseline-water-stress" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=10fc4447f7f544a4a0569f0e803539de", "landingPage": "https://www.cacgeoportal.com/maps/cacgeoportal-hub::крупные-месторождения-полезных-ископаемых", "title": "Крупные месторождения полезных ископаемых", "description": "Данные содержат локации крупных месторождений полезных ископаемых (металлы, промышленные минералы, топливные ресурсы) на территории стран Центральной Азии (Казахстан, Кыргызстан, Таджикистан, Туркменистан, Узбекистан) и Кавказа (Азербайджан, Армения, Грузия). Включают характеристики месторождений: название месторождения, тип породы, тип минерала. Данные отфильтрованы из глобального набора Resource Watch.
", "keyword": [ "месторождения", "полезные ископаемые", "Центральная Азия", "Кавказ", "орнодобывающая промышленность" ], "issued": "2025-07-11T11:24:06.000Z", "modified": "2025-07-11T11:51:05.000Z", "publisher": { "name": "Central Asia and Caucasus GeoPortal Hub Community" }, "contactPoint": { "@type": "vcard:Contact", "fn": "karinabikbayeva", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "49.5658,36.7595,78.9652,58.0683", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/maps/cacgeoportal-hub::крупные-месторождения-полезных-ископаемых" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=15d74c779c134a39a4fc38b10b4bc697&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/cacgeoportal-hub::крупные-месторождения-полезных-ископаемых-wfl1", "title": "Крупные месторождения полезных ископаемых WFL1", "description": "Данные содержат локации крупных месторождений полезных ископаемых (металлы, промышленные минералы, топливные ресурсы) на территории стран Центральной Азии (Казахстан, Кыргызстан, Таджикистан, Туркменистан, Узбекистан) и Кавказа (Азербайджан, Армения, Грузия). Включают характеристики месторождений: название месторождения, тип минерала, породы. Данные отфильтрованы из глобального набора Resource Watch.
Данные предназначены для информационно-аналитических целей. Не являются юридически значимым источником для горнодобывающих работ. USGS не гарантирует точность координат и объемов запасов. При коммерческом использовании требуется верификация в первоисточнике.
This layer shows particulate matter in the air sized 2.5 micrometers of smaller (PM 2.5). The data is aggregated from NASA Socioeconomic Data and Applications Center (SEDAC) gridded data into country boundaries, administrative 1 boundaries, and 50 km hex bins. The unit of measurement is micrograms per cubic meter.
The layer shows the annual average PM 2.5 from 1998 to 2016, highlighting if the overall mean for an area meets the 2021 World Health Organization guideline of 10 micrograms per cubic meter annually. Areas that don't meet the guideline and are above the threshold are shown in red, and areas that are lower than the guideline are in grey.
This work is licensed under the Esri Master License Agreement.This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
Официальные границы махаллей Ташкента.
Дата загрузки: июль 2025 года.
Данные скачаны с сайта Open Data Tashkent.
", "keyword": [ "Ташкент", "Районы", "АТД", "mahallasi" ], "issued": "2025-07-09T08:23:15.000Z", "modified": "2025-07-10T12:36:16.644Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "ykopin_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "69.1223,41.1635,69.4699,41.4225", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/cacgeoportal::tashkent-mahallas" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services8.arcgis.com/GyR85gR88mMqIY4t/arcgis/rest/services/Tashkent_Mahallas/FeatureServer/0" }, { "@type": "dcat:Distribution", "title": "CSV", "format": "CSV", "mediaType": "text/csv", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/csv?layers=0" }, { "@type": "dcat:Distribution", "title": "Shapefile", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/shapefile?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoJSON", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/geojson?layers=0" }, { "@type": "dcat:Distribution", "title": "KML", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/kml?layers=0" }, { "@type": "dcat:Distribution", "title": "File Geodatabase", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/filegdb?layers=0" }, { "@type": "dcat:Distribution", "title": "Feature Collection", "format": "TXT", "mediaType": "text/plain", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/featureCollection?layers=0" }, { "@type": "dcat:Distribution", "title": "Excel", "format": "XLSX", "mediaType": "application/vnd.ms-excel", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/excel?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoPackage", "format": "GPKG", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/geoPackage?layers=0" }, { "@type": "dcat:Distribution", "title": "SQLite Geodatabase", "format": "GDB", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/c51c854bad2d48f1beaad40272f8d483/sqlite?layers=0" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=cee96e0ada6541d0bd3d67f3f8b5ce63", "landingPage": "https://www.cacgeoportal.com/datasets/esri::land-cover-2050-global", "title": "Land Cover 2050 - Global", "description": "Use this global model layer when performing analysis across continents. This layer displays a global land cover map and model for the year 2050 at a pixel resolution of 300m. ESA CCI land cover from the years 2010 and 2018 were used to create this prediction.Open dataset of administrative boundaries of Uzbekistan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
Открытый датасет административных границ Узбекистана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Open dataset of administrative boundaries of Uzbekistan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
Открытый датасет административных границ Узбекистана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Open dataset of administrative boundaries of Uzbekistan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
Открытый датасет административных границ Узбекистана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Open dataset of administrative boundaries of Uzbekistan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
Открытый датасет административных границ Узбекистана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Open dataset of administrative boundaries of Uzbekistan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
Открытый датасет административных границ Узбекистана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Open dataset of administrative boundaries of Kazakhstan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
The attribute table contains names in Kazakh and English, as well as a special "taldau" column with Russian names exactly matching those on the taldau.stat.gov.kz website — this allows for quick linking with statistical data.
For districts, an additional column with the name of the corresponding region (oblast) is included to handle duplicate district names.
Открытый датасет административных границ Казахстана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Атрибутивная таблица включает названия на казахском и английском, а также специальный столбец "taldau" — с названиями на русском, точно как на сайте taldau.stat.gov.kz — это позволяет быстро "подцеплять" статистические данные. Для районов добавлен столбец с названием области — на случай дубликатов названий районов.
Open dataset of administrative boundaries of Kazakhstan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
The attribute table contains names in Kazakh and English, as well as a special "taldau" column with Russian names exactly matching those on the taldau.stat.gov.kz website — this allows for quick linking with statistical data.
For districts, an additional column with the name of the corresponding region (oblast) is included to handle duplicate district names.
Открытый датасет административных границ Казахстана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Атрибутивная таблица включает названия на казахском и английском, а также специальный столбец "taldau" — с названиями на русском, точно как на сайте taldau.stat.gov.kz — это позволяет быстро "подцеплять" статистические данные. Для районов добавлен столбец с названием области — на случай дубликатов названий районов.
Open dataset of administrative boundaries of Kazakhstan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
The attribute table contains names in Kazakh and English, as well as a special "taldau" column with Russian names exactly matching those on the taldau.stat.gov.kz website — this allows for quick linking with statistical data.
For districts, an additional column with the name of the corresponding region (oblast) is included to handle duplicate district names.
Открытый датасет административных границ Казахстана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Атрибутивная таблица включает названия на казахском и английском, а также специальный столбец "taldau" — с названиями на русском, точно как на сайте taldau.stat.gov.kz — это позволяет быстро "подцеплять" статистические данные. Для районов добавлен столбец с названием области — на случай дубликатов названий районов.
Open dataset of administrative boundaries of Kazakhstan, based on OpenStreetMap data.
It includes three levels:
— State borders
— Regional (oblast) borders
— District borders
The attribute table contains names in Kazakh and English, as well as a special "taldau" column with Russian names exactly matching those on the taldau.stat.gov.kz website — this allows for quick linking with statistical data.
For districts, an additional column with the name of the corresponding region (oblast) is included to handle duplicate district names.
Открытый датасет административных границ Казахстана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Атрибутивная таблица включает названия на казахском и английском, а также специальный столбец "taldau" — с названиями на русском, точно как на сайте taldau.stat.gov.kz — это позволяет быстро "подцеплять" статистические данные. Для районов добавлен столбец с названием области — на случай дубликатов названий районов.
Open dataset of administrative boundaries of Kazakhstan, based on OpenStreetMap data.
\nIt includes three levels:
\n— State borders
\n— Regional (oblast) borders
\n— District borders
The attribute table contains names in Kazakh and English, as well as a special "taldau" column with Russian names exactly matching those on the taldau.stat.gov.kz website — this allows for quick linking with statistical data.
\nFor districts, an additional column with the name of the corresponding region (oblast) is included to handle duplicate district names.
Открытый датасет административных границ Казахстана, основанный на данных OpenStreetMap.
Включены три уровня:
— границы государства
— границы областей
— границы районов
Атрибутивная таблица включает названия на казахском и английском, а также специальный столбец "taldau" — с названиями на русском, точно как на сайте taldau.stat.gov.kz — это позволяет быстро "подцеплять" статистические данные. Для районов добавлен столбец с названием области — на случай дубликатов названий районов.
Подход ОФ «Реки без границ» (RwB) основан как на нашем собственном опыте общебассейновых и конкретных оценок проектов по строительству плотин (Simonov et al., 2019), так и на практике международных институтов (Grill et al., 2015 ; Grill et al., 2014 ; Lehner and Grill, 2013 ; A´gnes Va´ri et al.,2022) и НПО. В речных бассейнах гор Центральной Азии (ЦА) с использованием геоинформационных систем (ГИС), проведена инвентаризация существующих и планируемых (в основном крупных) плотин и выполнена оценка потенциальных угроз ключевым территориям биоразнообразия в соответствующих речных бассейнах. Выявлены суббассейны с минимальной антропогенной трансформацией в пределах Ключевых районов биоразнообразия (КРБ, КВА) и экорегиональных коридоров. Для этого был произведен сбор из открытых источников информации о существующих и планируемых проектах гидроэнергетической/водной инфраструктуры, которые могут оказать потенциальное воздействие на природоохранные коридоры, особо охраняемые природные территории (ООПТ) и КВА в горах ЦА, а также разработана база данных открытого доступа по (крупным) плотинам региона.
Разработана многокритериальная модель потенциальных воздействий на основе расположения плотин и регулирующей емкости водохранилищ, фрагментации рек, потенциальных сезонных изменений и сокращения речного стока и т. д. Модель учитывает индивидуальное и кумулятивное воздействие водной инфраструктуры на водные и наземные экосистемы бассейна в целом и\\или его отдельные суббассейны. Оценка производиться путем моделирования гидроэлектростанций (ГЭС)\\Плотин в речном бассейне и расчета их воздействий по нескольким важным параметрам включая расположение на ООПТ и KBA, регулирование стока реки вниз по течению, блокирование и фрагментацию речного бассейна, …. Результаты предварительной оценки на основе модели будут в дальнейшем проверены и уточнены экспертами.
", "keyword": [ "dams", "water", "asia", "hydropower", "HPPs", "biodiversity areas", "protected areas", "River system", "ecoregion", "conservation", "enviromental assesment" ], "issued": "2025-06-09T05:51:18.000Z", "modified": "2025-06-09T07:39:30.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "54.8605,18.2443,95.4660,58.9581", "license": "Free, upon request from the authorsThe process of developing the map involved the following steps:
Collecting information on existing and planned hydropower and water infrastructure projects, and creating an open-access database.
Developing a multi-criteria GIS model to evaluate potential impacts on aquatic and terrestrial ecosystems based on dam location, inundated areas, river fragmentation, potential seasonal changes, and reduction in river flows.
Identifying 50 endemic and threatened fish species representing the key known freshwater biodiversity values in the region, and gathering available records on the locations of these fish populations from the literature and the expert community.
Consulting with experts on water resource management, aquatic biodiversity, nature conservation management, and local livelihoods dependent on natural resources, as well as assessing the potential impacts of each large water infrastructure project on biodiversity.
Mapping river sub-basins with low levels of anthropogenic transformation and/or high biodiversity value, marking them as priorities for further comprehensive conservation efforts.
These are demonstration data for the workshop.
\nThe map contains two layers – a vector layer and a raster layer. Domains and dependent values have been preconfigured for the vector layer.
This layer shows particulate matter in the air sized 2.5 micrometers of smaller (PM 2.5). The data is aggregated from NASA Socioeconomic Data and Applications Center (SEDAC) gridded data into country boundaries, administrative 1 boundaries, and 50 km hex bins. The unit of measurement is micrograms per cubic meter.
The layer shows the annual average PM 2.5 from 1998 to 2016, highlighting if the overall mean for an area meets the 2021 World Health Organization guideline of 10 micrograms per cubic meter annually. Areas that don't meet the guideline and are above the threshold are shown in red, and areas that are lower than the guideline are in grey.
This work is licensed under the Esri Master License Agreement.This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
The web application enables real-time assessment of the area of Tashkent city covered by vegetation and buildings within a customizable buffer zone.
\nThe application was developed using ArcGIS Experience Builder Developer Edition.
\nTree vegetation classification was carried out using remote sensing data and Deep Learning technologies.
\nA more detailed description of the classification process can be found in the article on our blog:
\nhttps://blogs.esri-cis.com/2025/04/18/landcover-classification/
Веб приложение позволяет в режиме реального времени оценить площадь города Ташкент покрытую растительностью и строениями в пределах настраиваемой буферной зоны.
Приложение разработано в ArcGIS Experience Builder Версия для разработчиков.
Классификация древесной растительности проводилась с помощью данных дистанционного зондирования и технологий Deep Learning.\nС более подробным описанием процесса классификации можно ознакомиться в статье в нашем блоге:
https://blogs.esri-cis.com/2025/04/18/landcover-classification/
World Countries Generalized represents generalized boundaries for the countries of the world.
See Resource Constraints > legal constraints.
This work is licensed under the Esri Master License Agreement. Overwiev
This dataset shows the total primary energy consumption in countries from 1992 to 2023. Primary energy is energy that comes directly from nature and has not been converted to a different form. This dataset is published by the U.S. Energy Information Administration (EIA). EIA defines primary energy consumption to include coal, petroleum, dry natural gas, nuclear electricity, hydroelectricity geothermal, solar, wind, wood, biomass, and other sources.
Energy consumption is a key indicator of the environmental impact and input costs of economic activity. The intensity of energy consumption and the sources of energy are among the key indicators of sustainable energy, as defined by Sustainable Development Goal 7.
Обзор
Этот набор данных показывает общее потребление первичной энергии в странах с 1992 по 2023 год. Первичная энергия — это энергия, которая поступает непосредственно из природы и не была преобразована в другую форму. Этот набор данных опубликован Управлением энергетической информации США (EIA).
EIA определяет потребление первичной энергии как включающее уголь, нефть, сухой природный газ, ядерную электроэнергию, гидроэлектроэнергию, геотермальную энергию, солнечную энергию, энергию ветра, древесину, биомассу и другие источники.
Потребление энергии является ключевым показателем воздействия на окружающую среду и затрат на экономическую деятельность. Интенсивность потребления энергии и источники энергии — это одни из ключевых индикаторов устойчивой энергетики, определенной в Цели устойчивого развития №7.
Methodology
EIA collected and analyzed consumption data from multiple external sources. The estimates in this dataset are based on a time series analysis, and the performance of the model was evaluated with hold‐out validation.
Методология
EIA собирало и анализировало данные о потреблении из множества внешних источников. Оценки в этом наборе данных основаны на анализе временных рядов, а производительность модели была проверена с помощью метода удержания данных для валидации.
", "keyword": [ "energy", "consumption", "resources", "primary" ], "issued": "2025-02-06T10:10:42.000Z", "modified": "2025-02-06T11:04:46.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "27.4768,24.7111,98.7561,61.6816", "license": "EIA (U.S. Energy Information Administration). 2020. International Energy Statistics. Downloaded November 15. https://www.eia.gov/beta/international/data/browser/. Accessed through Resource Watch, (date). www.resourcewatch.org.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
Time: This is a time-enabled layer. By default, it will show the first month from the map's time extent. Or, if time animation is disabled, a time range can be set using the layer's multidimensional settings. If you wish to calculate the average, sum, or min/max change in storage over the time extent, change the mosaic operator used to resolve overlapping pixels. In ArcGIS Online, you do this in the "Image Display Order" tab. In ArcGIS Pro, use the "Data" ribbon. In ArcMap, it is in the 'Mosaic' tab of the layer properties window. The minimum time extent is one month, and the maximum is 8 years.
Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. Retirement Notice: This beta item will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This layer represents CMIP6 future projections of total precipitation during the three coldest months of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.
WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:
\"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year).\"
Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100
Units: mm
Cell Size: 2.5 minutes (~5 km)
Source Type: Stretched
Pixel Type: 32 Bit Float
Data Projection: GCS WGS84
Mosaic Projection: GCS WGS84
Extent: Global
Source: WorldClim CMIP6 Bioclimate
Climate Scenarios
The CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.
SSP | Scenario | Estimated warming | Estimated warming | Very likely range in °C |
SSP2-4.5 | intermediate GHG emissions: | 2.0 °C | 2.7 °C | 2.1 – 3.5 |
SSP3-7.0 | high GHG emissions: | 2.1 °C | 3.6 °C | 2.8 – 4.6 |
SSP5-8.5 | very high GHG emissions: | 2.4 °C | 4.4 °C | 3.3 – 5.7 |
While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow.
Processing the Climate Data
WorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5.
Accessing the Multidimensional Information
The time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default).
What can you do with this layer?
These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options.
Known Quality Issues
Each model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.
Related Layers
Bioclimate 1 Annual Mean Temperature
Bioclimate 2 Mean Diurnal Range
Bioclimate 3 Isothermality
Bioclimate 4 Temperature Seasonality
Bioclimate 5 Max Temperature of Warmest Month
Bioclimate 6 Min Temperature Of Coldest Month
Bioclimate 7 Temperature Annual Range
Bioclimate 8 Mean Temperature Of Wettest Quarter
Bioclimate 9 Mean Temperature Of Driest Quarter
Bioclimate 10 Mean Temperature Of Warmest Quarter
Bioclimate 11 Mean Temperature Of Coldest Quarter
Bioclimate 12 Annual Precipitation
Bioclimate 13 Precipitation Of Wettest Month
Bioclimate 14 Precipitation Of Driest Month
Bioclimate 15 Precipitation Seasonality
Bioclimate 16 Precipitation Of Wettest Quarter
Bioclimate 17 Precipitation Of Driest Quarter
Bioclimate 18 Precipitation Of Warmest Quarter
Bioclimate 19 Precipitation Of Coldest Quarter
Bioclimate Baseline 1970-2000
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Retirement Notice: This beta item will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This layer represents CMIP6 future projections of total precipitation during the driest month of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.
WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:
\"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year).\"
Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100
Units: mm
Cell Size: 2.5 minutes (~5 km)
Source Type: Stretched
Pixel Type: 32 Bit Float
Data Projection: GCS WGS84
Mosaic Projection: GCS WGS84
Extent: Global
Source: WorldClim CMIP6 Bioclimate
Climate Scenarios
The CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.
SSP | Scenario | Estimated warming | Estimated warming | Very likely range in °C |
SSP2-4.5 | intermediate GHG emissions: | 2.0 °C | 2.7 °C | 2.1 – 3.5 |
SSP3-7.0 | high GHG emissions: | 2.1 °C | 3.6 °C | 2.8 – 4.6 |
SSP5-8.5 | very high GHG emissions: | 2.4 °C | 4.4 °C | 3.3 – 5.7 |
While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow.
Processing the Climate Data
WorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5.
Accessing the Multidimensional Information
The time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default).
What can you do with this layer?
These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options.
Known Quality Issues
Each model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.
Related Layers
Bioclimate 1 Annual Mean Temperature
Bioclimate 2 Mean Diurnal Range
Bioclimate 3 Isothermality
Bioclimate 4 Temperature Seasonality
Bioclimate 5 Max Temperature of Warmest Month
Bioclimate 6 Min Temperature Of Coldest Month
Bioclimate 7 Temperature Annual Range
Bioclimate 8 Mean Temperature Of Wettest Quarter
Bioclimate 9 Mean Temperature Of Driest Quarter
Bioclimate 10 Mean Temperature Of Warmest Quarter
Bioclimate 11 Mean Temperature Of Coldest Quarter
Bioclimate 12 Annual Precipitation
Bioclimate 13 Precipitation Of Wettest Month
Bioclimate 14 Precipitation Of Driest Month
Bioclimate 15 Precipitation Seasonality
Bioclimate 16 Precipitation Of Wettest Quarter
Bioclimate 17 Precipitation Of Driest Quarter
Bioclimate 18 Precipitation Of Warmest Quarter
Bioclimate 19 Precipitation Of Coldest Quarter
Bioclimate Baseline 1970-2000
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-14-precipitation-of-driest-month" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://tiledimageservices.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Bioclimate_Projections__Precipitation_of_Driest_Month/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=1a96d928c93c4e8fbc6a2391afd1da2f", "landingPage": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-11-mean-temperature-of-coldest-quarter", "title": "Bioclimate Projections: (11) Mean Temperature of Coldest Quarter", "description": "Retirement Notice: This beta item will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This layer represents CMIP6 future projections of mean temperature during the three coldest months of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.
WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:
\"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year).\"
Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100
Units: deg C
Cell Size: 2.5 minutes (~5 km)
Source Type: Stretched
Pixel Type: 32 Bit Float
Data Projection: GCS WGS84
Mosaic Projection: GCS WGS84
Extent: Global
Source: WorldClim CMIP6 Bioclimate
Climate Scenarios
The CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.
SSP | Scenario | Estimated warming | Estimated warming | Very likely range in °C |
SSP2-4.5 | intermediate GHG emissions: | 2.0 °C | 2.7 °C | 2.1 – 3.5 |
SSP3-7.0 | high GHG emissions: | 2.1 °C | 3.6 °C | 2.8 – 4.6 |
SSP5-8.5 | very high GHG emissions: | 2.4 °C | 4.4 °C | 3.3 – 5.7 |
While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow.
Processing the Climate Data
WorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5.
Accessing the Multidimensional Information
The time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default).
What can you do with this layer?
These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options.
Known Quality Issues
Each model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.
Related Layers
Bioclimate 1 Annual Mean Temperature
Bioclimate 2 Mean Diurnal Range
Bioclimate 3 Isothermality
Bioclimate 4 Temperature Seasonality
Bioclimate 5 Max Temperature of Warmest Month
Bioclimate 6 Min Temperature Of Coldest Month
Bioclimate 7 Temperature Annual Range
Bioclimate 8 Mean Temperature Of Wettest Quarter
Bioclimate 9 Mean Temperature Of Driest Quarter
Bioclimate 10 Mean Temperature Of Warmest Quarter
Bioclimate 11 Mean Temperature Of Coldest Quarter
Bioclimate 12 Annual Precipitation
Bioclimate 13 Precipitation Of Wettest Month
Bioclimate 14 Precipitation Of Driest Month
Bioclimate 15 Precipitation Seasonality
Bioclimate 16 Precipitation Of Wettest Quarter
Bioclimate 17 Precipitation Of Driest Quarter
Bioclimate 18 Precipitation Of Warmest Quarter
Bioclimate 19 Precipitation Of Coldest Quarter
Bioclimate Baseline 1970-2000
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-11-mean-temperature-of-coldest-quarter" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://tiledimageservices.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Bioclimate_Projections__Mean_Temperature_of_Coldest_Quarter/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=231770161a46467e8de9fdd9fd92dad7", "landingPage": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-09-mean-temperature-of-driest-quarter", "title": "Bioclimate Projections: (09) Mean Temperature of Driest Quarter", "description": "Retirement Notice: This beta item will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This layer represents CMIP6 future projections of mean temperature during the three driest months of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.
WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:
\"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year).\"
Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100
Units: deg C
Cell Size: 2.5 minutes (~5 km)
Source Type: Stretched
Pixel Type: 32 Bit Float
Data Projection: GCS WGS84
Mosaic Projection: GCS WGS84
Extent: Global
Source: WorldClim CMIP6 Bioclimate
Climate Scenarios
The CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.
SSP | Scenario | Estimated warming | Estimated warming | Very likely range in °C |
SSP2-4.5 | intermediate GHG emissions: | 2.0 °C | 2.7 °C | 2.1 – 3.5 |
SSP3-7.0 | high GHG emissions: | 2.1 °C | 3.6 °C | 2.8 – 4.6 |
SSP5-8.5 | very high GHG emissions: | 2.4 °C | 4.4 °C | 3.3 – 5.7 |
While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow.
Processing the Climate Data
WorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5.
Accessing the Multidimensional Information
The time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default).
What can you do with this layer?
These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options.
Known Quality Issues
Each model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.
Related Layers
Bioclimate 1 Annual Mean Temperature
Bioclimate 2 Mean Diurnal Range
Bioclimate 3 Isothermality
Bioclimate 4 Temperature Seasonality
Bioclimate 5 Max Temperature of Warmest Month
Bioclimate 6 Min Temperature Of Coldest Month
Bioclimate 7 Temperature Annual Range
Bioclimate 8 Mean Temperature Of Wettest Quarter
Bioclimate 9 Mean Temperature Of Driest Quarter
Bioclimate 10 Mean Temperature Of Warmest Quarter
Bioclimate 11 Mean Temperature Of Coldest Quarter
Bioclimate 12 Annual Precipitation
Bioclimate 13 Precipitation Of Wettest Month
Bioclimate 14 Precipitation Of Driest Month
Bioclimate 15 Precipitation Seasonality
Bioclimate 16 Precipitation Of Wettest Quarter
Bioclimate 17 Precipitation Of Driest Quarter
Bioclimate 18 Precipitation Of Warmest Quarter
Bioclimate 19 Precipitation Of Coldest Quarter
Bioclimate Baseline 1970-2000
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-09-mean-temperature-of-driest-quarter" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://tiledimageservices.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Bioclimate_Projections__Mean_Temperature_of_Driest_Quarter/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=808cfb3ab1614f8ab7e364de737e9e98", "landingPage": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-07-temperature-annual-range", "title": "Bioclimate Projections: (07) Temperature Annual Range", "description": "Retirement Notice: This beta item will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This layer represents CMIP6 future projections of temperature variation over an entire year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.
WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:
\"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year).\"
Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100
Units: deg C
Cell Size: 2.5 minutes (~5 km)
Source Type: Stretched
Pixel Type: 32 Bit Float
Data Projection: GCS WGS84
Mosaic Projection: GCS WGS84
Extent: Global
Source: WorldClim CMIP6 Bioclimate
Climate Scenarios
The CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.
SSP | Scenario | Estimated warming | Estimated warming | Very likely range in °C |
SSP2-4.5 | intermediate GHG emissions: | 2.0 °C | 2.7 °C | 2.1 – 3.5 |
SSP3-7.0 | high GHG emissions: | 2.1 °C | 3.6 °C | 2.8 – 4.6 |
SSP5-8.5 | very high GHG emissions: | 2.4 °C | 4.4 °C | 3.3 – 5.7 |
While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow.
Processing the Climate Data
WorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5.
Accessing the Multidimensional Information
The time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default).
What can you do with this layer?
These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options.
Known Quality Issues
Each model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.
Related Layers
Bioclimate 1 Annual Mean Temperature
Bioclimate 2 Mean Diurnal Range
Bioclimate 3 Isothermality
Bioclimate 4 Temperature Seasonality
Bioclimate 5 Max Temperature of Warmest Month
Bioclimate 6 Min Temperature Of Coldest Month
Bioclimate 7 Temperature Annual Range
Bioclimate 8 Mean Temperature Of Wettest Quarter
Bioclimate 9 Mean Temperature Of Driest Quarter
Bioclimate 10 Mean Temperature Of Warmest Quarter
Bioclimate 11 Mean Temperature Of Coldest Quarter
Bioclimate 12 Annual Precipitation
Bioclimate 13 Precipitation Of Wettest Month
Bioclimate 14 Precipitation Of Driest Month
Bioclimate 15 Precipitation Seasonality
Bioclimate 16 Precipitation Of Wettest Quarter
Bioclimate 17 Precipitation Of Driest Quarter
Bioclimate 18 Precipitation Of Warmest Quarter
Bioclimate 19 Precipitation Of Coldest Quarter
Bioclimate Baseline 1970-2000
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-07-temperature-annual-range" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://tiledimageservices.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Bioclimate_Projections__Temperature_Annual_Range/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=c531d32ab5d746b88a884b6e54f3216e", "landingPage": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-06-min-temperature-of-coldest-month", "title": "Bioclimate Projections: (06) Min Temperature of Coldest Month", "description": "Retirement Notice: This beta item will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This layer represents CMIP6 future projections of minimum temperature during the coldest month of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.
WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:
\"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year).\"
Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100
Units: deg C
Cell Size: 2.5 minutes (~5 km)
Source Type: Stretched
Pixel Type: 32 Bit Float
Data Projection: GCS WGS84
Mosaic Projection: GCS WGS84
Extent: Global
Source: WorldClim CMIP6 Bioclimate
Climate Scenarios
The CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.
SSP | Scenario | Estimated warming | Estimated warming | Very likely range in °C |
SSP2-4.5 | intermediate GHG emissions: | 2.0 °C | 2.7 °C | 2.1 – 3.5 |
SSP3-7.0 | high GHG emissions: | 2.1 °C | 3.6 °C | 2.8 – 4.6 |
SSP5-8.5 | very high GHG emissions: | 2.4 °C | 4.4 °C | 3.3 – 5.7 |
While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow.
Processing the Climate Data
WorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5.
Accessing the Multidimensional Information
The time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default).
What can you do with this layer?
These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options.
Known Quality Issues
Each model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.
Related Layers
Bioclimate 1 Annual Mean Temperature
Bioclimate 2 Mean Diurnal Range
Bioclimate 3 Isothermality
Bioclimate 4 Temperature Seasonality
Bioclimate 5 Max Temperature of Warmest Month
Bioclimate 6 Min Temperature Of Coldest Month
Bioclimate 7 Temperature Annual Range
Bioclimate 8 Mean Temperature Of Wettest Quarter
Bioclimate 9 Mean Temperature Of Driest Quarter
Bioclimate 10 Mean Temperature Of Warmest Quarter
Bioclimate 11 Mean Temperature Of Coldest Quarter
Bioclimate 12 Annual Precipitation
Bioclimate 13 Precipitation Of Wettest Month
Bioclimate 14 Precipitation Of Driest Month
Bioclimate 15 Precipitation Seasonality
Bioclimate 16 Precipitation Of Wettest Quarter
Bioclimate 17 Precipitation Of Driest Quarter
Bioclimate 18 Precipitation Of Warmest Quarter
Bioclimate 19 Precipitation Of Coldest Quarter
Bioclimate Baseline 1970-2000
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-06-min-temperature-of-coldest-month" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://tiledimageservices.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Bioclimate_Projections__Min_Temperature_of_Coldest_Month/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=3b98ddf1c78d4f0c88bd297f85847c68", "landingPage": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-10-mean-temperature-of-warmest-quarter", "title": "Bioclimate Projections: (10) Mean Temperature of Warmest Quarter", "description": "Retirement Notice: This beta item will be retired in December 2026. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
This layer represents CMIP6 future projections of mean temperature during the three warmest months of the year. This layer can be used to compare with recent climate histories to better understand the potential impacts of future climate change.
WorldClim produced this projection as part of a series of 19 bioclimate variables identified by the USGS and provides this description:
\"Bioclimatic variables are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables. These are often used in species distribution modeling and related ecological modeling techniques. The bioclimatic variables represent annual trends (e.g., mean annual temperature, annual precipitation) seasonality (e.g., annual range in temperature and precipitation) and extreme or limiting environmental factors (e.g., temperature of the coldest and warmest month, and precipitation of the wet and dry quarters). A quarter is a period of three months (1/4 of the year).\"
Time Extent: averages from 2021-2040, 2041-2060, 2061-2080, 2081-2100
Units: deg C
Cell Size: 2.5 minutes (~5 km)
Source Type: Stretched
Pixel Type: 32 Bit Float
Data Projection: GCS WGS84
Mosaic Projection: GCS WGS84
Extent: Global
Source: WorldClim CMIP6 Bioclimate
Climate Scenarios
The CMIP6 climate experiments use Shared Socioeconomic Pathways (SSPs) to model future climate scenarios. Each SSP pairs a human/community behavior component with the traditional RCP greenhouse gas forcing from the previous CMIP5. Three SSPs were chosen by Esri to be included in the service based on user requests: SSP2 4.5, SSP3 7.0 and SSP5 8.5.
SSP | Scenario | Estimated warming | Estimated warming | Very likely range in °C |
SSP2-4.5 | intermediate GHG emissions: | 2.0 °C | 2.7 °C | 2.1 – 3.5 |
SSP3-7.0 | high GHG emissions: | 2.1 °C | 3.6 °C | 2.8 – 4.6 |
SSP5-8.5 | very high GHG emissions: | 2.4 °C | 4.4 °C | 3.3 – 5.7 |
While the 8.5 scenario is no longer generally considered likely, SSP3 7.0 has been included and is considered the high end of possibilities. SSP5 8.5 has been retained since many organizations report to this threshold. The warming associated with SSP2 4.5 is equivalent to the global targets set at the 2021 United Nations COP26 meetings in Glasgow.
Processing the Climate Data
WorldClim provides 20-year averaged outputs for the various SSPs from 24 global climate models. A selection of 13 models were averaged for each variable and time based on Mahony et al 2022. These models included ACCESS-ESM1-5, BCC-CSM2-MR, CanESM5, CNRM-ESM2-1, EC-Earth3-Veg, GFDL-ESM4, GISS-E2-1-G, INM-CM5-0, IPSL-CM6A-LR, MIROC6, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL. GFDL-ESM4 was not available for SSP2 4.5 or SSP5 8.5.
Accessing the Multidimensional Information
The time and SSP scenario are built into the layer using a multidimensional raster. Enable the time slider to move across the 20-year average periods. In ArcGIS Online and Pro, use the Multidimensional Filter to select the SSP (SSP2 4.5 is the default).
What can you do with this layer?
These multidimensional imagery tiles support analysis using ArcGIS Online or Pro. Use the Bioclimate Baseline layer to see the difference in pixels and calculate change from the historic period into the future. Use the Multidimensional tab in ArcGIS Pro to access a variety of useful tools. Each layer or variable can be styled using the Image Display options.
Known Quality Issues
Each model is downscaled from ~100km resolution to ~5km resolution by WorldClim. Some artifacts are inevitable, especially at a global scale. Some variables have distinct transitions, especially in Greenland. Also, SSP2 4.5 has missing data for several variables in Antarctica.
Related Layers
Bioclimate 1 Annual Mean Temperature
Bioclimate 2 Mean Diurnal Range
Bioclimate 3 Isothermality
Bioclimate 4 Temperature Seasonality
Bioclimate 5 Max Temperature of Warmest Month
Bioclimate 6 Min Temperature Of Coldest Month
Bioclimate 7 Temperature Annual Range
Bioclimate 8 Mean Temperature Of Wettest Quarter
Bioclimate 9 Mean Temperature Of Driest Quarter
Bioclimate 10 Mean Temperature Of Warmest Quarter
Bioclimate 11 Mean Temperature Of Coldest Quarter
Bioclimate 12 Annual Precipitation
Bioclimate 13 Precipitation Of Wettest Month
Bioclimate 14 Precipitation Of Driest Month
Bioclimate 15 Precipitation Seasonality
Bioclimate 16 Precipitation Of Wettest Quarter
Bioclimate 17 Precipitation Of Driest Quarter
Bioclimate 18 Precipitation Of Warmest Quarter
Bioclimate 19 Precipitation Of Coldest Quarter
Bioclimate Baseline 1970-2000
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::bioclimate-projections-10-mean-temperature-of-warmest-quarter" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://tiledimageservices.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/Bioclimate_Projections__Mean_Temperature_of_Warmest_Quarter/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=a79a3e4dc55343b08543b1b6133bfb90&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/esri::world-regions", "title": "World Regions", "description": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. It is designed to be used with World Hillshade. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This work is licensed under the Esri Master License Agreement.
Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This work is licensed under the Esri Master License Agreement.
Retirement Notice: This item is in mature support as of April 2026 and will be retired in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.
River basins or hydrologic units are often the spatial unit used for aggregating and analyzing components of the water cycle such as precipitation, runoff, riverine discharge, etc. The hydroSHEDS dataset, derived from the Shuttle Radar Topography Mission, are the most commonly used global hydrologic unit for these analyses. But when planning water use or gaps, political boundaries need to be considered. Water provinces (Straatsma et al 2020) provide a much more realistic hydrologic unit for such purposes.
Esri’s World Administration Divisions (2011) defines 3,300 subnational units. Areas less than 150,000 sq km were aggregated into 1,099 regions. The water provinces were then calculated by overlaying these regions with the major basins from hydroSHEDS. After sliver polygons were removed, the result was 1,604 unique units based on river basins but constrained by political boundaries. These water provinces provide a suitable unit for longterm water use planning, especially at local scales.
Dataset Summary
Phenomenon Mapped: Water provinces of the world
Geographic Extent: Global
Layer Projection: Web Mercator Auxiliary Sphere
Update Frequency: Semi-annual
Source: PCR-GLOBWB
Data Vintage: June 2013
Publication Date: March 2021
Questions?
Please leave a comment below if you have a question about this layer, and we will get back to you as soon as possible.
This work is licensed under the Esri Master License Agreement.
This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
This layer displays a global map of land use/land cover (LULC) derived from ESA Sentinel-2 imagery at 10m resolution. Each year is generated with Impact Observatory’s deep learning AI land classification model, trained using billions of human-labeled image pixels from the National Geographic Society. The global maps are produced by applying this model to the Sentinel-2 Level-2A image collection on Microsoft’s Planetary Computer, processing over 400,000 Earth observations per year.
The algorithm generates LULC predictions for nine classes, described in detail below.
The year 2017 has a land cover class assigned for every pixel, but its class is based upon fewer images than the other years. The years 2018-2025 are based upon a more complete set of imagery. For this reason, the year 2017 may have less accurate land cover class assignments than the years 2018-2025.
Key Properties
| Value | Name | Description |
| 1 | Water | Areas where water was predominantly present throughout the year; may not cover areas with sporadic or ephemeral water; contains little to no sparse vegetation, no rock outcrop nor built up features like docks; examples: rivers, ponds, lakes, oceans, flooded salt plains. |
| 2 | Trees | Any significant clustering of tall (~15 feet or higher) dense vegetation, typically with a closed or dense canopy; examples: wooded vegetation, clusters of dense tall vegetation within savannas, plantations, swamp or mangroves (dense/tall vegetation with ephemeral water or canopy too thick to detect water underneath). |
| 4 | Flooded vegetation | Areas of any type of vegetation with obvious intermixing of water throughout a majority of the year; seasonally flooded area that is a mix of grass/shrub/trees/bare ground; examples: flooded mangroves, emergent vegetation, rice paddies and other heavily irrigated and inundated agriculture. |
| 5 | Crops | Human planted/plotted cereals, grasses, and crops not at tree height; examples: corn, wheat, soy, fallow plots of structured land. |
| 7 | Built Area | Human made structures; major road and rail networks; large homogenous impervious surfaces including parking structures, office buildings and residential housing; examples: houses, dense villages / towns / cities, paved roads, asphalt. |
| 8 | Bare ground | Areas of rock or soil with very sparse to no vegetation for the entire year; large areas of sand and deserts with no to little vegetation; examples: exposed rock or soil, desert and sand dunes, dry salt flats/pans, dried lake beds, mines. |
| 9 | Snow/Ice | Large homogenous areas of permanent snow or ice, typically only in mountain areas or highest latitudes; examples: glaciers, permanent snowpack, snow fields. |
| 10 | Clouds | No land cover information due to persistent cloud cover. |
| 11 | Rangeland | Open areas covered in homogenous grasses with little to no taller vegetation; wild cereals and grasses with no obvious human plotting (i.e., not a plotted field); examples: natural meadows and fields with sparse to no tree cover, open savanna with few to no trees, parks/golf courses/lawns, pastures. Mix of small clusters of plants or single plants dispersed on a landscape that shows exposed soil or rock; scrub-filled clearings within dense forests that are clearly not taller than trees; examples: moderate to sparse cover of bushes, shrubs and tufts of grass, savannas with very sparse grasses, trees or other plants. |
NOTE: Land use focus does not provide the spatial detail of a land cover map. As such, for the built area classification, yards, parks, and groves will appear as built area rather than trees or rangeland classes.
Usage Information and Best Practices
Visualization
Analysis
General
Classification Process
These maps include Version 003 of the global Sentinel-2 land use/land cover data product. It is produced by a deep learning model trained using over five billion hand-labeled Sentinel-2 pixels, sampled from over 20,000 sites distributed across all major biomes of the world.
The underlying deep learning model uses 6-bands of Sentinel-2 L2A surface reflectance data: visible blue, green, red, near infrared, and two shortwave infrared bands. To create the final map, the model is run on multiple dates of imagery throughout the year, and the outputs are composited into a final representative map for each year.
The input Sentinel-2 L2A data was accessed via Microsoft’s Planetary Computer and scaled using Microsoft Azure Batch.
This work is licensed under the Esri Master License Agreement.
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
Bioclimate | Landforms | Lithology | Land Cover |
Arctic | Plains | Undefined | Bare Area |
Cold Dry | Hills | Unconsolidated Sediment | Sparse Vegetation |
Cold Semi-Dry | Mountains | Carbonate Sedimentary Rock | Grassland, Shrub, or Scrub |
Cold Moist |
| Mixed Sedimentary Rock | Mostly Cropland |
Cold Wet |
| Non-Carbonate Sedimentary Rock | Mostly Needleleaf/Evergreen Forest |
Cool Dry |
| Evaporite | Mostly Deciduous Forest |
Cool Semi-Dry |
| Pyroclastics | Swampy or Often Flooded |
Cool Moist |
| Metamorphic Rock | Artificial or Urban Area |
Cool Wet |
| Acidic Volcanics | Surface Water |
Hot Dry |
| Acidic Plutonics | Undefined |
Hot Semi-Dry |
| Non-Acidic Volcanics |
|
Hot Moist |
| Non-Acidic Plutonics |
|
Hot Wet |
|
|
|
Warm Dry |
|
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|
Warm Semi-Dry |
|
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Warm Moist |
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Warm Wet |
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This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. The TopoBathy 3D layer provides a global seamless topography (land elevation) and bathymetry (water depths) surface to use as a ground in ArcGIS 3D applications.
What can you do with this layer?
This layer is meant to be used as a ground in ArcGIS Online Web Scenes, ArcGIS Earth, and ArcGIS Pro to help visualize your maps and data in 3D.
How do I use this layer?
In the ArcGIS Online Web Scene Viewer:
In ArcGIS Pro:
To see the coverage and sources of various datasets comprising this elevation layer, view the World Elevation Coverage Map. Additionally, this layer contains data from Vantor’s Precision 3D Digital Terrain Models for parts of the globe.
", "keyword": [ "Elevation", "Bathymetry", "3D", "Oceans", "DEM", "esri_earth", "land", "topography", "bathymetry", "ocean", "elevation3d", "basemap", "Esri Basemaps", "TopoBathy 3D", "esriTopobathy3d" ], "issued": "2016-05-13T14:59:01.000Z", "modified": "2026-03-03T22:25:44.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_elevation", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": "
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/esri::world-time-zones" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/World_Time_Zones/FeatureServer/0" }, { "@type": "dcat:Distribution", "title": "CSV", "format": "CSV", "mediaType": "text/csv", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/312cebfea2624e108e234220b04460b8/csv?layers=0" }, { "@type": "dcat:Distribution", "title": "Shapefile", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/312cebfea2624e108e234220b04460b8/shapefile?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoJSON", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/312cebfea2624e108e234220b04460b8/geojson?layers=0" }, { "@type": "dcat:Distribution", "title": "KML", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/312cebfea2624e108e234220b04460b8/kml?layers=0" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ff1955fa839b4bc7b5444b10303c7914", "landingPage": "https://www.cacgeoportal.com/content/cacgeoportal::samples2-13f5d4ed4bec411ca3fd0ebd79a52fef", "title": "samples2-13f5d4ed4bec411ca3fd0ebd79a52fef", "description": "{{description}}", "keyword": [], "issued": "2025-05-22T05:28:01.000Z", "modified": "2026-02-26T05:28:02.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "53.7927,46.9967,53.8474,47.0495", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/cacgeoportal::samples2-13f5d4ed4bec411ca3fd0ebd79a52fef" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=a0a96b3cd6ee4089b5910b4c00e70d03", "landingPage": "https://www.cacgeoportal.com/content/esri::gebco-bathymetry-2021", "title": "GEBCO Bathymetry 2021", "description": "GEBCO is a global terrain model for ocean and land providing\nelevation data in meters on a 15 arc-second interval grid. It is accompanied by\na Type Identifier (TID) Grid that gives information on the types of source data\nthat the GEBCO_2021 Grid is based. More Info.
What can you do with this layer?
Layers associated with the GEBCO 2021 product:
Each of the layers can be found in this Web Map.
The GEBCO Grid is placed in the public domain and may be used free of charge. Use of the GEBCO Grid indicates that the user accepts the conditions of use and disclaimer information.
This work is licensed under the Esri Master License Agreement.This layer includes Landsat GLS, Landsat 8, and Landsat 9 imagery for use in visualization and analysis. This layer is time enabled and includes a number band combinations and indices rendered on demand. The Landsat 8 and 9 imagery includes nine multispectral bands from the Operational Land Imager (OLI) and two bands from the Thermal Infrared Sensor (TIRS). It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
| \n Band \n | \n \n Description \n | \n \n Wavelength\n (µm) \n | \n \n Spatial\n Resolution (m) \n | \n
| \n 1 \n | \n \n Coastal\n aerosol \n | \n \n 0.43 - 0.45 \n | \n \n 30 \n | \n
| \n 2 \n | \n \n Blue \n | \n \n 0.45 - 0.51 \n | \n \n 30 \n | \n
| \n 3 \n | \n \n Green \n | \n \n 0.53 - 0.59 \n | \n \n 30 \n | \n
| \n 4 \n | \n \n Red \n | \n \n 0.64 - 0.67 \n | \n \n 30 \n | \n
| \n 5 \n | \n \n Near Infrared\n (NIR) \n | \n \n 0.85 - 0.88 \n | \n \n 30 \n | \n
| \n 6 \n | \n \n SWIR 1 \n | \n \n 1.57 - 1.65 \n | \n \n 30 \n | \n
| \n 7 \n | \n \n SWIR 2 \n | \n \n 2.11 - 2.29 \n | \n \n 30 \n | \n
| \n 8 \n | \n \n Cirrus (in\n OLI this is band 9) \n | \n \n 1.36 - 1.38 \n | \n \n 30 \n | \n
| \n 9 \n | \n \n QA Band\n (available with Collection 1)* \n | \n \n NA \n | \n \n 30 \n | \n
*More about the Quality Assessment Band
TIRS Bands
| \n Band \n | \n \n Description \n | \n \n Wavelength\n (µm) \n | \n \n Spatial\n Resolution (m) \n | \n
| \n 10 \n | \n \n TIRS1 \n | \n \n 10.60 - 11.19 \n | \n \n 100 * (30) | \n
| \n 11 \n | \n \n TIRS2 \n | \n \n 11.50 - 12.51 \n | \n \n 100 * (30) | \n
*TIRS bands are acquired at 100 meter resolution, but are resampled to 30 meter in delivered data product.
Additional Usage Notes
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted in Amazon Web Services as part of their Public Data Sets program.
For information, see Landsat 8 and Landsat 9.
", "keyword": [ "Landsat on AWS", "Landsat", "Multispectral", "Multitemporal", "imagery", "landsat 8", "temporal", "MS", "landsat 9" ], "issued": "2015-03-19T16:21:14.000Z", "modified": "2026-02-06T21:52:35.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_imagery", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-65.3235,180.0000,65.3126", "license": "
This work is licensed under the Esri Master License Agreement.This layer includes Landsat 8 and 9 imagery for use in visualization and analysis. This layer is time enabled and includes the panchromatic band from the Operational Land Imager (OLI). It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Additional Usage Notes
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted in Amazon Web Services as part of their Public Data Sets program.
For information, see Landsat 8 and Landsat 9.
This work is licensed under the Esri Master License Agreement.This layer includes Landsat 8 and 9 imagery for use in visualization and analysis. This layer is time enabled and includes a number of pansharpened renderings on demand. The layer includes 15m imagery rendered on-the-fly as Natural Color with DRA. It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Additional Usage Notes
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted in Amazon Web Services as part of their Public Data Sets program.
For information, see Landsat 8 and Landsat 9.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Important Note: This layer is intended to support online visualization and analysis. Users are not permitted to export data for offline use.
Important Note: This item requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does not consume credits. To access this item, you'll need to do one of the following:
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This interactive dashboard presents a multi-year analysis of Uzbekistan’s grain and vegetable production using Esri’s geospatial technologies. Developed with ArcGIS Pro for data processing and ArcGIS Online for web visualization, the dashboard integrates spatial layers, statistical charts, and time-series trends into one intuitive analytical environment.
In addition to agricultural data, the system is also connected to a custom weather monitoring workflow built in ArcPy and integrated with Weather.com API. This automated script updates real-time weather conditions (temperature, humidity, wind speed, and weather type) for multiple locations across Uzbekistan—directly into the geodatabase.
These updated values are immediately reflected on the map, providing dynamic situational awareness.
Summary: Ongoing greenhouse gas emissions are simultaneously shifting many elements of Earth’s climate beyond thresholds that can impact humanity. By affecting the balance between incoming solar radiation and outgoing infrared radiation, man-made greenhouse gases are increasing the Earth’s energy budget ultimately leading to warming . Given interconnected physics, warming can affect other aspects of the Earth’s climate system. For instance, by enhancing water evaporation and increasing the air’s capacity to hold moisture, warming can lead to i) extreme precipitation, also increasing risk of floods, in commonly wet places or ii) drought in commonly dry places, also increasing risk of wildfires, and heatwaves when heat transfer from water evaporation ceases. In the oceans, CO2 interacts with water to produce carbonic acid leading to ocean acidification whereas warming of water molecules increases the volume they occupy adding to the sea-level rise from melting land ice. Ocean warming can also supply moisture increasing the strength of storms. In an extensive literature review, we found traceable evidence for 467 pathways in which human health, water, food, economy, infrastructure and security have been recently impacted by climate hazards such as warming, heatwaves, precipitation, drought, floods, fires, storms, sea level rise, and changes in natural land cover and ocean chemistry. By 2100, on average, the world’s population will be exposed concurrently to the equivalent of the largest magnitude in one of these hazards if greenhouse gasses are aggressively reduced or three if they are not; some tropical coastal areas will be exposed to the largest changes in up to six hazards concurrently. These findings highlight that greenhouse gas emissions pose a broad threat to humanity by simultaneously intensifying many hazards, which humanity is vulnerable to.
Map description: This web app shows the cumulative index of 11 climate hazards: warming, drought, heatwaves, fires, precipitation, floods, storms, water scarcity, sea level rise, and changes in natural land cover and ocean chemistry. All climate hazards were scaled between zero and the 95th percentile change projected in the given hazard globally by 2095 under RCP 8.5 (worse case scenario); In other words, a pixel with a value of zero in a given hazards suggests that that hazard will not change in that pixel. In turn, a pixel with a value of 1 suggests that the most extreme increase of that hazard anywhere in the world will occur in that pixel. This standardization allowed for the summation of changes in all hazards at a given pixel to generate a cumulative index of climate change shown in this web app globally under three alternative scenarios.
Journal: Nature Climate Change
Authors: Camilo Mora, Daniele Spirandelli , Erik Franklin , Michael Kantar, John Lynham , Wendy Miles , Charlotte Smith , Kelle Freel , Jade Moy , Leo Louis , Evan Barba , Keith Bettinger , Abby Frazier , John Colburn IX , Naota Hanasaki , Ed Hawkins , Yukiko Hirabayashi , Wolfgang Knorr , Christopher Little , Kerry Emanuel , Justin Sheffield , Jonathan Patz , Cynthia Hunter.
For more information please review Cumulative Exposure to Climate Change by Mora et al from the University of Hawai'i's Department of Geography.
", "keyword": [ "Moralab", "climate change" ], "issued": "2021-07-26T19:35:39.000Z", "modified": "2025-11-26T11:46:32.000Z", "publisher": { "name": "DemoXC ArcGIS Online Portal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "jgrayson@esri.com_geoxc_demox", "hasEmail": "mailto:geoxc@esri.com" }, "accessLevel": "public", "spatial": "", "license": "This application was designed and developed jointly by Esri'sApplications Prototype Lab and the University of Hawai'i'sDepartment of Geography.
This work is licensed under the Esri Master License Agreement. \n Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.\n
This layer shows the total population in Uzbekistan in 2022, in a multiscale map (Country and Province). Nationally, there are 35,123,900 people in Uzbekistan.This work is licensed under the Esri Master License Agreement. \n Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.\n
This map shows the total population in Uzbekistan in 2022, in a multiscale map (Country and Province). Nationally, there are 35,123,900 people in Uzbekistan.This work is licensed under the Esri Master License Agreement. \n Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.\n
This work is licensed under the Esri Master License Agreement. This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
\n Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.\n
This work is licensed under the Esri Master License Agreement. \n Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.\n
This layer shows the average household size in Kazakhstan in 2022, in a multiscale map (Country and Region). Nationally, the average household size is 3.4 people per household. It is calculated by dividing the household population by total households.This work is licensed under the Esri Master License Agreement. \n Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item.\n
This map shows the average household size in Kazakhstan in 2022, in a multiscale map (Country and Region). Nationally, the average household size is 3.4 people per household. It is calculated by dividing the household population by total households.This work is licensed under the Esri Master License Agreement. World Administrative Divisions represents the boundaries for the first-level administrative divisions of the world in December 2022. Examples of first-level administrative divisions (sometimes referred to as “Admin 1”) are states, provinces, and regions.
Included are fields for name and International Organization for Standardization (ISO) codes, along with notes identifying disputed boundaries and continent information. Particularly useful are the fields LAND_TYPE and LAND_RANK that separate polygons based on their size. These fields are helpful for rendering at different scales by providing the ability to turn off small islands that may clutter small-scale (zoomed out) views.
The source of this dataset is Garmin International, Inc. It was published in October 2023. This layer is updated every 12-18 months or as significant changes occur.
The dashboard displays the tree canopy coverage area of Tashkent city at the district and mahalla levels. By switching between categories such as districts, mahallas, and canopy coverage area, users can access more detailed analytical information.
The dashboard is based on the tree canopy coverage map.
Дашборд отображает площадь покрытия кронами деревьев города Ташкент в масштабе районов и махаллий. Переключая категории по районам, махаллиям и площади покрытия можно получить более детальную аналитическую информацию.
Дашборд подготовлен на основе карты покрытия кронами деревьев.
", "keyword": [ "" ], "issued": "2025-10-15T10:48:34.000Z", "modified": "2025-10-30T12:12:10.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::how-green-is-tashkent-насколько-ташкент-зеленый" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=3fae18c47ba44fd5a2913d60cdb8e54d", "landingPage": "https://www.cacgeoportal.com/maps/cacgeoportal::tree-canopy-coverage-of-tashkent-покрытие-кронами-деревьев-ташкента", "title": "Tree canopy coverage of Tashkent (Покрытие кронами деревьев Ташкента)", "description": "The map shows the mahallas of Tashkent by tree canopy coverage area. The data is derived from a raster with classified urban landscapes.
Карта отображает махалли Ташкента по площади покрытия кронами деревьев. Данные получены из растра с класифицированными ландшафтами города.
", "keyword": [ "" ], "issued": "2025-10-15T08:26:12.000Z", "modified": "2025-10-16T10:07:31.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "69.1438,41.1669,69.4621,41.3929", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/maps/cacgeoportal::tree-canopy-coverage-of-tashkent-покрытие-кронами-деревьев-ташкента" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=5189d6227cae42de89c1cdfaee396792", "landingPage": "https://www.cacgeoportal.com/content/esri-styles::illuminated-labels-for-arcgis-pro-text", "title": "Illuminated labels for ArcGIS Pro text", "description": "Sometimes a basic solid color for your map's labels and text just isn't going to cut it. Here is an ArcGIS Pro style with light and dark gradient fills and shadow/glow effects that you can apply to map text via the "Text fill symbol" picker in your label pane. Level up those labels! Make them look touchable. Glassy. Shady. Intriguing.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This style for ArcGIS Pro contains four north arrows. They have a glassy semitransparent white appearance with a shadow effect for better visibility over highly textured surfaces while muted enough to provide balance.
Before you use a north arrow, though, ask yourself if your map really needs one.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
Sometimes you just want to thread the needle of plausible cartography and make scientific maps in the most charming homespun manner possible. Here is a video walking through how this style was created using ArcGIS PRo stymbology.
This work is licensed under the Esri Master License Agreement.
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Everybody just loves a pen and ink stipple effect. It’s charming, it’s warm, it’s handsome, it’s tactile. It says, say, want to sit on the couch and I’ll read to you from your well-worn copy of Where the Sidewalk Ends?
I’ve tried out the stipple effect in maps (here and here) that I’ve hand-drawn (yes, and so should you!) as well as dipped my toe into creating a digital effect (here and here), and found that it gives a richness of clarity and depth. Then a few days ago I saw this wonderful hand stippled map drawn by Molly Elkins, on Twitter. The simple beauty of her map motivated me to go back to the inkwell and get an honest to goodness pen and ink style together for ArcGIS Pro.
Here are some examples...
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This layer features your special areas of interest (AOIs) that have been contributed to Esri Community Maps using the Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline.
The World Database on Protected and Conserved Areas (WDPCA) is a joint product of UNEP and IUCN, managed by UNEP-WCMC, working with governments and other data providers. The database stores information on the global distribution of terrestrial, inland water and marine protected areas and other effective area-based conservation measures (OECMs). The WDPCA combines the formerly separate World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM).
\n\nThe database contains data on protected areas and OECMs designated at the national level and under regional and international conventions and agreements, in addition to those recognised through other means. The WDPCA adopts the definitions of a protected area used by IUCN and the Convention on Biological Diversity (CBD), and the definition of an OECM adopted by Parties to the CBD.
\n\nA User Manual (UNEP-WCMC 2026) is provided with the dataset. This includes a description of the attribute table and guide to interpreting its fields. The WDPCA can be viewed at, and downloaded from, Protected Planet (https://www.protectedplanet.net/) or from IBAT for commercial purposes (https://www.ibat-alliance.org/).
\n\nA new version is published each month. The latest version is available from https://www.protectedplanet.net/.
\n\nWorld Database of Protected Areas query:
\n\nAll of these expressions must be true:
\n\nNo commercial use: Neither (a) the WDPCA Materials and the GD-PAME Materials nor (b) any work derived from or based upon the WDPCA Materials and the GD-PAME Materials (“Derivative Works”) may be put to Commercial Use without the prior written permission of UNEP-WCMC. For the purposes of these Terms and Conditions, “Commercial Use” means a) any use by, on behalf of, or to inform or assist the activities of, a commercial entity (an entity that operates 'for profit') or b) use by any individual or non-profit entity for the purposes of revenue generation. For commercial uses, please go to the IBAT website: https://www.ibat-alliance.org/. For the avoidance of doubt, UNEP-WCMC reserves the right to determine whether a particular use of the WDPCA and GD-PAME Materials constitutes a Commercial Use or otherwise.
No Sub-licensing or Redistribution of WDPCA and GD-PAME Data: The WDPCA Materials may not be sub-licensed in whole or in part including within Derivative Works without the prior written permission of UNEP-WCMC. You may not redistribute the WDPCA or Data contained in the WDPCA in whole or in part by any means including (but not limited to) electronic formats such as web downloads, through web services, through interactive web maps (including mobile applications) that grant users download access, KML Files or through file transfer protocols. If you know of others who wish to use the WDPCA Data please refer them to ProtectedPlanet.net. If you wish to provide a service through which the WDPCA Data are downloadable or otherwise made available for redistribution you must contact pca@unep-wcmc.org for permission and further guidance.
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/maps/UNEP-WCMC::wdpa-world-database-of-protected-areas" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services5.arcgis.com/Mj0hjvkNtV7NRhA7/arcgis/rest/services/WDPA_v0/FeatureServer" }, { "@type": "dcat:Distribution", "title": "Protected Planet", "format": null, "accessURL": "https://www.protectedplanet.net/", "description": null }, { "@type": "dcat:Distribution", "title": "WDPCA web feature service", "format": null, "accessURL": "https://data-gis.unep-wcmc.org/server/rest/services/ProtectedPlanet/WDPCA/FeatureServer", "description": null } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ae78aeb913a343d69e950b53e29076f7&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::wdpa-point-latest", "title": "WDPA point Latest", "description": "The World Database on Protected and Conserved Areas (WDPCA) is a joint product of UNEP and IUCN, managed by UNEP-WCMC, working with governments and other data providers. The database stores information on the global distribution of terrestrial, inland water and marine protected areas and other effective area-based conservation measures (OECMs). The WDPCA combines the formerly separate World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM).
\n\nThe database contains data on protected areas and OECMs designated at the national level and under regional and international conventions and agreements, in addition to those recognised through other means. The WDPCA adopts the definitions of a protected area used by IUCN and the Convention on Biological Diversity (CBD), and the definition of an OECM adopted by Parties to the CBD.
\n\nA User Manual (UNEP-WCMC 2026) is provided with the dataset. This includes a description of the attribute table and guide to interpreting its fields. The WDPCA can be viewed at, and downloaded from, Protected Planet (https://www.protectedplanet.net/) or from IBAT for commercial purposes (https://www.ibat-alliance.org/).
\n\nA new version is published each month. The latest version is available from https://www.protectedplanet.net/.
\n\nWorld Database of Protected Areas query:
\n\nAll of these expressions must be true:
\n\nNo commercial use: Neither (a) the WDPCA Materials and the GD-PAME Materials nor (b) any work derived from or based upon the WDPCA Materials and the GD-PAME Materials (“Derivative Works”) may be put to Commercial Use without the prior written permission of UNEP-WCMC. For the purposes of these Terms and Conditions, “Commercial Use” means a) any use by, on behalf of, or to inform or assist the activities of, a commercial entity (an entity that operates 'for profit') or b) use by any individual or non-profit entity for the purposes of revenue generation. For commercial uses, please go to the IBAT website: https://www.ibat-alliance.org/. For the avoidance of doubt, UNEP-WCMC reserves the right to determine whether a particular use of the WDPCA and GD-PAME Materials constitutes a Commercial Use or otherwise.
No Sub-licensing or Redistribution of WDPCA and GD-PAME Data: The WDPCA Materials may not be sub-licensed in whole or in part including within Derivative Works without the prior written permission of UNEP-WCMC. You may not redistribute the WDPCA or Data contained in the WDPCA in whole or in part by any means including (but not limited to) electronic formats such as web downloads, through web services, through interactive web maps (including mobile applications) that grant users download access, KML Files or through file transfer protocols. If you know of others who wish to use the WDPCA Data please refer them to ProtectedPlanet.net. If you wish to provide a service through which the WDPCA Data are downloadable or otherwise made available for redistribution you must contact pca@unep-wcmc.org for permission and further guidance.
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::wdpa-point-latest" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services5.arcgis.com/Mj0hjvkNtV7NRhA7/arcgis/rest/services/WDPA_v0/FeatureServer/0" }, { "@type": "dcat:Distribution", "title": "CSV", "format": "CSV", "mediaType": "text/csv", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/csv?layers=0" }, { "@type": "dcat:Distribution", "title": "Shapefile", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/shapefile?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoJSON", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/geojson?layers=0" }, { "@type": "dcat:Distribution", "title": "KML", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/kml?layers=0" }, { "@type": "dcat:Distribution", "title": "File Geodatabase", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/filegdb?layers=0" }, { "@type": "dcat:Distribution", "title": "Feature Collection", "format": "TXT", "mediaType": "text/plain", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/featureCollection?layers=0" }, { "@type": "dcat:Distribution", "title": "Excel", "format": "XLSX", "mediaType": "application/vnd.ms-excel", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/excel?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoPackage", "format": "GPKG", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/geoPackage?layers=0" }, { "@type": "dcat:Distribution", "title": "SQLite Geodatabase", "format": "GDB", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/sqlite?layers=0" }, { "@type": "dcat:Distribution", "title": "Protected Planet", "format": null, "accessURL": "https://www.protectedplanet.net/", "description": null }, { "@type": "dcat:Distribution", "title": "WDPCA web feature service", "format": null, "accessURL": "https://data-gis.unep-wcmc.org/server/rest/services/ProtectedPlanet/WDPCA/FeatureServer", "description": null } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ae78aeb913a343d69e950b53e29076f7&sublayer=1", "landingPage": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::wdpa-poly-latest", "title": "WDPA poly Latest", "description": "The World Database on Protected and Conserved Areas (WDPCA) is a joint product of UNEP and IUCN, managed by UNEP-WCMC, working with governments and other data providers. The database stores information on the global distribution of terrestrial, inland water and marine protected areas and other effective area-based conservation measures (OECMs). The WDPCA combines the formerly separate World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM).
\n\nThe database contains data on protected areas and OECMs designated at the national level and under regional and international conventions and agreements, in addition to those recognised through other means. The WDPCA adopts the definitions of a protected area used by IUCN and the Convention on Biological Diversity (CBD), and the definition of an OECM adopted by Parties to the CBD.
\n\nA User Manual (UNEP-WCMC 2026) is provided with the dataset. This includes a description of the attribute table and guide to interpreting its fields. The WDPCA can be viewed at, and downloaded from, Protected Planet (https://www.protectedplanet.net/) or from IBAT for commercial purposes (https://www.ibat-alliance.org/).
\n\nA new version is published each month. The latest version is available from https://www.protectedplanet.net/.
\n\nWorld Database of Protected Areas query:
\n\nAll of these expressions must be true:
\n\nNo commercial use: Neither (a) the WDPCA Materials and the GD-PAME Materials nor (b) any work derived from or based upon the WDPCA Materials and the GD-PAME Materials (“Derivative Works”) may be put to Commercial Use without the prior written permission of UNEP-WCMC. For the purposes of these Terms and Conditions, “Commercial Use” means a) any use by, on behalf of, or to inform or assist the activities of, a commercial entity (an entity that operates 'for profit') or b) use by any individual or non-profit entity for the purposes of revenue generation. For commercial uses, please go to the IBAT website: https://www.ibat-alliance.org/. For the avoidance of doubt, UNEP-WCMC reserves the right to determine whether a particular use of the WDPCA and GD-PAME Materials constitutes a Commercial Use or otherwise.
No Sub-licensing or Redistribution of WDPCA and GD-PAME Data: The WDPCA Materials may not be sub-licensed in whole or in part including within Derivative Works without the prior written permission of UNEP-WCMC. You may not redistribute the WDPCA or Data contained in the WDPCA in whole or in part by any means including (but not limited to) electronic formats such as web downloads, through web services, through interactive web maps (including mobile applications) that grant users download access, KML Files or through file transfer protocols. If you know of others who wish to use the WDPCA Data please refer them to ProtectedPlanet.net. If you wish to provide a service through which the WDPCA Data are downloadable or otherwise made available for redistribution you must contact pca@unep-wcmc.org for permission and further guidance.
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::wdpa-poly-latest" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services5.arcgis.com/Mj0hjvkNtV7NRhA7/arcgis/rest/services/WDPA_v0/FeatureServer/1" }, { "@type": "dcat:Distribution", "title": "CSV", "format": "CSV", "mediaType": "text/csv", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/csv?layers=1" }, { "@type": "dcat:Distribution", "title": "Shapefile", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/shapefile?layers=1" }, { "@type": "dcat:Distribution", "title": "GeoJSON", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/geojson?layers=1" }, { "@type": "dcat:Distribution", "title": "KML", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/kml?layers=1" }, { "@type": "dcat:Distribution", "title": "File Geodatabase", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/filegdb?layers=1" }, { "@type": "dcat:Distribution", "title": "Feature Collection", "format": "TXT", "mediaType": "text/plain", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/featureCollection?layers=1" }, { "@type": "dcat:Distribution", "title": "Excel", "format": "XLSX", "mediaType": "application/vnd.ms-excel", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/excel?layers=1" }, { "@type": "dcat:Distribution", "title": "GeoPackage", "format": "GPKG", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/geoPackage?layers=1" }, { "@type": "dcat:Distribution", "title": "SQLite Geodatabase", "format": "GDB", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/sqlite?layers=1" }, { "@type": "dcat:Distribution", "title": "Protected Planet", "format": null, "accessURL": "https://www.protectedplanet.net/", "description": null }, { "@type": "dcat:Distribution", "title": "WDPCA web feature service", "format": null, "accessURL": "https://data-gis.unep-wcmc.org/server/rest/services/ProtectedPlanet/WDPCA/FeatureServer", "description": null } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ae78aeb913a343d69e950b53e29076f7&sublayer=2", "landingPage": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::wdpa-source-latest-4", "title": "WDPA source Latest", "description": "The World Database on Protected and Conserved Areas (WDPCA) is a joint product of UNEP and IUCN, managed by UNEP-WCMC, working with governments and other data providers. The database stores information on the global distribution of terrestrial, inland water and marine protected areas and other effective area-based conservation measures (OECMs). The WDPCA combines the formerly separate World Database on Protected Areas (WDPA) and World Database on Other Effective Area-based Conservation Measures (WD-OECM).
\n\nThe database contains data on protected areas and OECMs designated at the national level and under regional and international conventions and agreements, in addition to those recognised through other means. The WDPCA adopts the definitions of a protected area used by IUCN and the Convention on Biological Diversity (CBD), and the definition of an OECM adopted by Parties to the CBD.
\n\nA User Manual (UNEP-WCMC 2026) is provided with the dataset. This includes a description of the attribute table and guide to interpreting its fields. The WDPCA can be viewed at, and downloaded from, Protected Planet (https://www.protectedplanet.net/) or from IBAT for commercial purposes (https://www.ibat-alliance.org/).
\n\nA new version is published each month. The latest version is available from https://www.protectedplanet.net/.
\n\nWorld Database of Protected Areas query:
\n\nAll of these expressions must be true:
\n\nNo commercial use: Neither (a) the WDPCA Materials and the GD-PAME Materials nor (b) any work derived from or based upon the WDPCA Materials and the GD-PAME Materials (“Derivative Works”) may be put to Commercial Use without the prior written permission of UNEP-WCMC. For the purposes of these Terms and Conditions, “Commercial Use” means a) any use by, on behalf of, or to inform or assist the activities of, a commercial entity (an entity that operates 'for profit') or b) use by any individual or non-profit entity for the purposes of revenue generation. For commercial uses, please go to the IBAT website: https://www.ibat-alliance.org/. For the avoidance of doubt, UNEP-WCMC reserves the right to determine whether a particular use of the WDPCA and GD-PAME Materials constitutes a Commercial Use or otherwise.
No Sub-licensing or Redistribution of WDPCA and GD-PAME Data: The WDPCA Materials may not be sub-licensed in whole or in part including within Derivative Works without the prior written permission of UNEP-WCMC. You may not redistribute the WDPCA or Data contained in the WDPCA in whole or in part by any means including (but not limited to) electronic formats such as web downloads, through web services, through interactive web maps (including mobile applications) that grant users download access, KML Files or through file transfer protocols. If you know of others who wish to use the WDPCA Data please refer them to ProtectedPlanet.net. If you wish to provide a service through which the WDPCA Data are downloadable or otherwise made available for redistribution you must contact pca@unep-wcmc.org for permission and further guidance.
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/UNEP-WCMC::wdpa-source-latest-4" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services5.arcgis.com/Mj0hjvkNtV7NRhA7/arcgis/rest/services/WDPA_v0/FeatureServer/2" }, { "@type": "dcat:Distribution", "title": "CSV", "format": "CSV", "mediaType": "text/csv", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/csv?layers=2" }, { "@type": "dcat:Distribution", "title": "Shapefile", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/shapefile?layers=2" }, { "@type": "dcat:Distribution", "title": "GeoJSON", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/geojson?layers=2" }, { "@type": "dcat:Distribution", "title": "KML", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/kml?layers=2" }, { "@type": "dcat:Distribution", "title": "File Geodatabase", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/filegdb?layers=2" }, { "@type": "dcat:Distribution", "title": "Feature Collection", "format": "TXT", "mediaType": "text/plain", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/featureCollection?layers=2" }, { "@type": "dcat:Distribution", "title": "Excel", "format": "XLSX", "mediaType": "application/vnd.ms-excel", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/excel?layers=2" }, { "@type": "dcat:Distribution", "title": "GeoPackage", "format": "GPKG", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/geoPackage?layers=2" }, { "@type": "dcat:Distribution", "title": "SQLite Geodatabase", "format": "GDB", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/ae78aeb913a343d69e950b53e29076f7/sqlite?layers=2" }, { "@type": "dcat:Distribution", "title": "Protected Planet", "format": null, "accessURL": "https://www.protectedplanet.net/", "description": null }, { "@type": "dcat:Distribution", "title": "WDPCA web feature service", "format": null, "accessURL": "https://data-gis.unep-wcmc.org/server/rest/services/ProtectedPlanet/WDPCA/FeatureServer", "description": null } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=23bfebaa3e8a4f6e84ebb0a3b2cf7574", "landingPage": "https://www.cacgeoportal.com/pages/cacgeoportal::community-1", "title": "Community", "description": "{{description}}", "keyword": [ "" ], "issued": "2024-04-21T14:57:05.000Z", "modified": "2026-11-06T13:20:09.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "productengineer_cac", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "25.5177,34.9321,44.9267,42.0223", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/pages/cacgeoportal::community-1" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=65d9ccbf6d454f49b5984472ab569dd0", "landingPage": "https://www.cacgeoportal.com/content/cacgeoportal::central-asia-and-caucasus-geoportal", "title": "Central Asia and Caucasus GeoPortal", "description": "Esri is the pioneering technology company behind the world-leading ArcGIS software. With over 50 years of dedication to geospatial technology, we are passionate about empowering individuals and organizations to harness the power of GIS. Our commitment goes beyond software — we believe in creating partnerships and enabling geospatial knowledge for everyone.
Source:
Layers:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.
Source:
Layers:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.
Source:
Layers:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.
Source:
Layers:
This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.World Elevation layers are compiled from many authoritative data providers, and are updated quarterly. This map shows the extent of the various datasets comprising the World Elevation dynamic (Terrain,TopoBathy) and tiled (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) services.
The tiled services (Terrain 3D, TopoBathy 3D, World Hillshade, World Hillshade (Dark)) also include an additional data source from Vantor's Precision3D covering parts of the globe.
Note: ArcGIS Elevation service, Terrain 3D (for Export) and TopoBathy 3D (for Export) does not include Vantor Precision3D and Airbus WorldDEM4Ortho.
To view the all the sources in a table format, check out World Elevation Data Sources Table.
Topography sources listed in the table are part of Terrain, TopoBathy, Terrain 3D, TopoBathy 3D, World Hillshade and World Hillshade (Dark), while bathymetry sources are part of TopoBathy and TopoBathy 3D only.
Check out elevation layers group for all the elevation content available to ArcGIS users.
Disclaimer: Data sources are not to be used for navigation/safety at sea and in air.
This work is licensed under the Esri Master License Agreement.This dynamic image\nservice provides numeric values representing ground surface heights, based on a\ndigital terrain model (DTM). Heights are orthometric (sea level = 0), and water\nbodies that are above sea level have approximated nominal water heights.
Use for Analysis: Yes. This layer provides data\nas floating point elevation values suitable for use in analysis.
\n\nNOTE: The image\nservice uses North America Albers Equal Area Conic projection (WKID: 102008) and\nresamples the data dynamically to the requested projection, extent and pixel\nsize. For analyses requiring the highest accuracy, when using ArcGIS Desktop,\nyou will need to use native coordinates (GCS_North_American_1983, WKID: 4269) and\nspecify the native resolutions (0.0002777777777779 degrees) as the cell size\ngeoprocessing environment setting and ensure that the request is aligned with\nthe source pixels.
\n\nServer Functions: This layer has server\nfunctions defined for the following elevation derivatives:
Data Sources: The data for this layer comes from 3DEP 1 arc-second dataset\nfrom the USGS's 3D Elevation Program with original\nsource data in its native coordinate system.
Data Coverage: The dataset covers the\nconterminous United States, Hawaii, Alaska, Puerto Rico, Territorial Islands of\nthe United States; Canada and Mexico.
This layer has query,\nidentify, and export image services available. The layer is restricted to\na 24,000 x 24,000 pixel limit.
\n\nThis layer is part of\na larger collection of elevation layers that you can use\nto perform a variety of mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. 
For more details such as Data\nSources, Mosaic method used in this layer, please see the TopoBathy layer. This layer\nallows query, identify, and export image requests. The layer is restricted to a\n5,000 x 5,000 pixel limit in a single export image request.
\n\nThis layer is part of a larger collection of elevation layers that you can use to perform a variety\nof mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. 
Data Sources and Coverage: This layer is compiled from a variety of best\navailable sources from several data providers. To see the coverage and extents of\nvarious datasets comprising this service in an interactive map, see Elevation Coverage Map.
Mosaic Method: This image service uses a default mosaic method of "By Attribute”, using Field 'Best' and target of 0. Each of the rasters has been attributed with ‘Best’ field value that is generally a function of the pixel size such that higher resolution datasets are displayed at higher priority. Other mosaic methods can be set, but care should be taken as the order of the rasters may change. Where required, queries can also be set to display only specific datasets such as only NED or the lock raster mosaic rule used to lock to a specific dataset.
This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.
Disclaimer: Bathymetry data sources are not to be used for navigation/safety at sea.
This work is licensed under the Esri Master License Agreement. This layer provides slope percent rise values calculated\ndynamically from the elevation data (within the current extents) using the\nserver-side slope function applied to the Terrain layer. Percent of\nslope is determined by dividing the amount of elevation change by the\namount of horizontal distance covered (sometimes referred to as "the rise\ndivided by the run"), and then multiplying the result by 100. The values\nrange from 0 to essentially infinity. When the slope angle equals 45 degrees,\nthe rise is equal to the run. Expressed as a percentage, the slope of this\nangle is 100 percent. As the slope approaches vertical (90 degrees), the\npercentage slope approaches infinity.
\n\nWARNING: Slope is computed in the projection specified by the client software. The server resamples the elevation data to the requested projection and pixel size and then computes slope. Slope should be requested in a projection that maintains correct scale in x and y directions for the area of interest. Using geographic coordinates will give incorrect results. For the WGS84 Mercator and WGS Web Mercator (auxiliary sphere) projections used by many web applications, a correction factor has been included to correct for latitude-dependent scale changes.
For more details such as Data Sources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and export image requests. The layer is restricted to a 5,000 x 5,000 pixel limit in a single export image request.
This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.
This work is licensed under the Esri Master License Agreement.
For more details such as Data\nSources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and\nexport image requests. The layer is restricted to a 5,000 x 5,000 pixel limit\nin a single export image request.
\n\nThis layer is part of a larger collection of elevation layers that you can use to perform a variety\nof mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. For more details such as Data\nSources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and\nexport image requests. The layer is restricted to a 5,000 x 5,000 pixel limit\nin a single export image request.
\n\nThis layer is part of a larger collection of elevation layers that you can use to perform a variety\nof mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. For more details such as Data\nSources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and\nexport image requests. The layer is restricted to a 5,000 x 5,000 pixel limit\nin a single export image request.
\n\nThis layer is part of a larger collection of elevation layers that you can use to perform a variety\nof mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. 
For more details such as Data\nSources, Mosaic method used in this layer, please see the Terrain layer. This layer allows query, identify, and\nexport image requests. The layer is restricted to a 5,000 x 5,000 pixel limit\nin a single export image request.
\n\nThis layer is part of a larger collection of elevation layers that you can use to perform a variety\nof mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. This map provides\na darker version of multi-directional hillshade, generated dynamically using a server-side\ncustom function on the World Elevation Terrain layer. It complements the lighter version of Multi-Directional Hillshade function. The z factor is varied based on scale to\ngenerate an appropriate visualization at all scales. This layer is useful for\nvisualization of the Terrain and is suitable to use as backdrop for thematic\ncontent in web applications and maps.
For more information about uses, refer Introducing Dark Hillshade.
What can you do with this layer?
\n\nUse for Visualization: Yes. Dark Multi-Directional Hillshade provides a quick\nindication of the shape of the terrain at a range of map scales. The image\nservice can be added to web applications or other maps to enhance contextual\nunderstanding.
\n\n
Use for Analysis: No. A hillshade is generally\nnot used for analysis.
Note: If you intend\nto use it as basemap, consider using the tiled version of this service i.e. World\nHillshade (Dark), which provides fast and performant rendering.
\n\nData Sources and Coverage: This layer is compiled from a variety of best available sources from several data providers. To see the coverage and extents of various datasets comprising this service in an interactive map, see Elevation Coverage Map.
This layer is part of a larger collection of elevation layers that you can use to perform a variety of\nmapping analysis tasks.
This work is licensed under the Esri Master License Agreement. 
\n\n
This layer is part of a larger collection of elevation layers that you can use to perform a variety\nof mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. This layer is part of a larger collection of elevation layers that you can use to perform a variety of mapping analysis tasks.
This work is licensed under the Esri Master License Agreement. This dynamic World Elevation Terrain service provides numeric values representing ground surface heights, based on a digital terrain model (DTM). The ground heights are based on multiple sources. Heights are orthometric (sea level = 0), and water bodies that are above sea level have approximated nominal water heights.
What can you do with this layer?
Use for Visualization: This layer is generally not optimal for direct visualization. By default, 32 bit floating point values are returned, resulting in higher bandwidth requirements. Therefore, usage should be limited to applications requiring elevation data values. Alternatively, client applications can select from numerous additional functions, applied on the server, that return rendered data. For visualizations such as multi-directional hillshade, hillshade, elevation tinted hillshade, and slope, consider using the appropriate server-side function defined on this service.
Use for Analysis: Yes. This layer provides data as floating point elevation values suitable for use in analysis.
Note: This image services\ncombine data from different sources and resample the data dynamically to the\nrequested projection, extent and pixel size. For analyses using ArcGIS Desktop,\nyou can filter a dataset, specify the projection, extent and cell size using\nthe Make\nImage Server Layer geoprocessing tool.
Server Functions: This layer has server functions defined for the following\nelevation derivatives. In ArcGIS desktop, server function can be invoked from\nLayer Properties - Processing Templates.
\n\n
Data Sources and Coverage: This layer is compiled from a variety of best\navailable sources from several data providers. To see the coverage and extents of\nvarious datasets comprising this service in an interactive map, see Elevation Coverage Map.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
World Imagery provides one meter or better satellite and aerial imagery for most of the world’s landmass and lower resolution satellite imagery worldwide. The map is currently comprised of the following sources:
Vantor Basemap Products
Vivid Premium
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product provides 15-cm HD resolution imagery.
Vivid Advanced
Provides committed image currency in a high-resolution, high-quality image layer over defined metropolitan and high-interest areas across the globe. The product includes a mix of native 30-cm and 30-cm HD resolution imagery.
Vivid Standard
Provides a visually consistent and continuous image layer over large areas through advanced image mosaicking techniques, including tonal balancing and seamline blending across thousands of image strips. Available from 1.2-m down to 30-cm HD.
This work is licensed under the Esri Master License Agreement.
This vector tile layer presents the World Topographic Map style (World Edition) and provides a basemap for the world, symbolized with a classic Esri topographic map style. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with World Hillshade for added context. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.
Learn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.
", "keyword": [ "basemap", "Esri Basemaps", "Topographic", "esriTopographic", "wma", "vector", "World" ], "issued": "2017-10-26T17:05:43.000Z", "modified": "2026-10-23T02:12:18.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_vector", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0000,180.0000,85.0000", "license": " This work is licensed under the Esri Master License Agreement.This vector tile layer presents the World Terrain Base style (World Edition) and provides a detailed basemap for the world symbolized with water and land fills, water lines and roads. The minimal features and styling is designed to draw attention to your thematic content. This layer is designed to be used with World Terrain Reference and World Hillshade. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.
This work is licensed under the Esri Master License Agreement.This vector tile layer presents the World Street Map (with Relief) style (World Edition) and provides a basemap for the world, symbolized with a classic Esri street map style. This comprehensive street map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This map is designed to be used with World Hillshade. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.
This work is licensed under the Esri Master License Agreement.This vector tile layer presents the World Street Map (Night) style (World Edition) and provides a basemap for the world, symbolized with a custom street map style that is designed for use at night or in other low-light environments. This comprehensive street map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.This vector tile layer presents the Light Gray Canvas Reference style (World Edition) and provides a detailed reference overlay for the world symbolized with labels and features that is designed to draw attention to your thematic content. The map includes populated places. The layer is designed for use with the Light Gray Base. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.
This work is licensed under the Esri Master License Agreement.This web map contains the new Hybrid Reference Layer vector tile layer, which is designed to be used to overlay imagery. The vector tile layer is similar in content and style to the popular Imagery with Labels map, which is delivered as a map service with raster tiles, with additional labels for transportation features.
The 'Imagery with Labels' basemap contains the World Imagery map service and the World Boundaries and Places map service, so when you use that basemap you get boundaries and places, but you don't get highways and streets at small scales or street labels at large scale.
If you prefer a map that uses raster tiles for both boundary and transportation features, you can use the Imagery with Labels and Transportation map.
", "keyword": [ "Imagery Hybrid. world", "imagery", "transportation", "hybrid", "satellite", "air photos", "world imagery", "satellite imagery", "air photographs", "air photography", "roads", "streets", "labels", "ILT", "baseimagery", "basemap", "current", "boundaries", "esriHybrid", "esriImagery", "Esri Basemaps", "Imagery", "Hybrid Reference" ], "issued": "2013-03-29T00:28:37.000Z", "modified": "2026-10-23T02:05:00.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-127.2217,-44.7155,65.6104,68.8477", "license": " This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.This vector tile layer presents the Dark Gray Canvas style (World Edition) and provides a detailed vector basemap for the world symbolized with a dark gray, neutral background style with minimal colors, labels, and features that is designed to draw attention to your thematic content. The map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.
This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.
See the Vector Basemaps group for other vector tile layers.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.| Attribute | Description |
|---|---|
| Bridges Full Name | Full name from E.M. Bridges\" 1990 \"World Geomorphology\" Division and if present province and section - intended for labeling print maps of small extents. |
| Bridges Division | Geomorphological Division as described in E.M. Bridges\" 1990 \"World Geomorphology\" - All Landforms have a division assigned, i.e., no nulls. |
| Bridges Province | Geomorphological Province as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all divisions are subdivided into provinces. |
| Bridges Section | Geomorphological Section as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all provinces are subdivided into sections. |
| Structure | Landform Structure as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years |
| Moist or Dry | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. |
| Topographic | Landform Topographic type variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. |
| Glaciation Type | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. |
| Continent | Assigned by Author during data compilation. |
| Bridges Short Name | The name of the smallest of Division, Province, or Section containing this landform feature. |
| Murphy Landform Code | Combination of Richard E. Murphy\"s 1968 \"Landforms of the World\" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. |
| Area_Geo | Geodesic area in km2. |
| Primary Plate | Name of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform\"s area. |
| Secondary Plate | When a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. |
| 3rd Plate | When a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. |
| 4th Plate | When a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. |
| 5th Plate | When a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. |
| Notes | Contains standard text to convey additional tectonic process characteristics. |
| Tectonic Process | Assigns values of orogenic, rift zone, or above subducting plate. |
| Date | Description of Change |
|---|---|
| July 20, 2022 | Corrected spelling of Guiana from incorrect representation, \"Guyana\", used by Bridges. |
| July 27, 2022 | Corrected Structure coded value domain value, changing \"Caledonian/Hercynian Shield\" to \"Caledonian , Hercynian, or Appalachian Remnants\". |
| Attribute | Description |
|---|---|
| Bridges Full Name | Full name from E.M. Bridges\" 1990 \"World Geomorphology\" Division and if present province and section - intended for labeling print maps of small extents. |
| Bridges Division | Geomorphological Division as described in E.M. Bridges\" 1990 \"World Geomorphology\" - All Landforms have a division assigned, i.e., no nulls. |
| Bridges Province | Geomorphological Province as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all divisions are subdivided into provinces. |
| Bridges Section | Geomorphological Section as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all provinces are subdivided into sections. |
| Structure | Landform Structure as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years |
| Moist or Dry | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. |
| Topographic | Landform Topographic type variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. |
| Glaciation Type | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. |
| Continent | Assigned by Author during data compilation. |
| Bridges Short Name | The name of the smallest of Division, Province, or Section containing this landform feature. |
| Murphy Landform Code | Combination of Richard E. Murphy\"s 1968 \"Landforms of the World\" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. |
| Area_Geo | Geodesic area in km2. |
| Primary Plate | Name of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform\"s area. |
| Secondary Plate | When a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. |
| 3rd Plate | When a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. |
| 4th Plate | When a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. |
| 5th Plate | When a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. |
| Notes | Contains standard text to convey additional tectonic process characteristics. |
| Tectonic Process | Assigns values of orogenic, rift zone, or above subducting plate. |
| Date | Description of Change |
|---|---|
| July 20, 2022 | Corrected spelling of Guiana from incorrect representation, \"Guyana\", used by Bridges. |
| July 27, 2022 | Corrected Structure coded value domain value, changing \"Caledonian/Hercynian Shield\" to \"Caledonian , Hercynian, or Appalachian Remnants\". |
| Attribute | Description |
|---|---|
| Bridges Full Name | Full name from E.M. Bridges\" 1990 \"World Geomorphology\" Division and if present province and section - intended for labeling print maps of small extents. |
| Bridges Division | Geomorphological Division as described in E.M. Bridges\" 1990 \"World Geomorphology\" - All Landforms have a division assigned, i.e., no nulls. |
| Bridges Province | Geomorphological Province as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all divisions are subdivided into provinces. |
| Bridges Section | Geomorphological Section as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all provinces are subdivided into sections. |
| Structure | Landform Structure as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years |
| Moist or Dry | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. |
| Topographic | Landform Topographic type variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. |
| Glaciation Type | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. |
| Continent | Assigned by Author during data compilation. |
| Bridges Short Name | The name of the smallest of Division, Province, or Section containing this landform feature. |
| Murphy Landform Code | Combination of Richard E. Murphy\"s 1968 \"Landforms of the World\" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. |
| Area_Geo | Geodesic area in km2. |
| Primary Plate | Name of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform\"s area. |
| Secondary Plate | When a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. |
| 3rd Plate | When a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. |
| 4th Plate | When a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. |
| 5th Plate | When a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. |
| Notes | Contains standard text to convey additional tectonic process characteristics. |
| Tectonic Process | Assigns values of orogenic, rift zone, or above subducting plate. |
| Date | Description of Change |
|---|---|
| July 20, 2022 | Corrected spelling of Guiana from incorrect representation, \"Guyana\", used by Bridges. |
| July 27, 2022 | Corrected Structure coded value domain value, changing \"Caledonian/Hercynian Shield\" to \"Caledonian , Hercynian, or Appalachian Remnants\". |
| Attribute | Description |
|---|---|
| Bridges Full Name | Full name from E.M. Bridges\" 1990 \"World Geomorphology\" Division and if present province and section - intended for labeling print maps of small extents. |
| Bridges Division | Geomorphological Division as described in E.M. Bridges\" 1990 \"World Geomorphology\" - All Landforms have a division assigned, i.e., no nulls. |
| Bridges Province | Geomorphological Province as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all divisions are subdivided into provinces. |
| Bridges Section | Geomorphological Section as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all provinces are subdivided into sections. |
| Structure | Landform Structure as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years |
| Moist or Dry | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. |
| Topographic | Landform Topographic type variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. |
| Glaciation Type | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. |
| Continent | Assigned by Author during data compilation. |
| Bridges Short Name | The name of the smallest of Division, Province, or Section containing this landform feature. |
| Murphy Landform Code | Combination of Richard E. Murphy\"s 1968 \"Landforms of the World\" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. |
| Area_Geo | Geodesic area in km2. |
| Primary Plate | Name of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform\"s area. |
| Secondary Plate | When a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. |
| 3rd Plate | When a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. |
| 4th Plate | When a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. |
| 5th Plate | When a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. |
| Notes | Contains standard text to convey additional tectonic process characteristics. |
| Tectonic Process | Assigns values of orogenic, rift zone, or above subducting plate. |
| Date | Description of Change |
|---|---|
| July 20, 2022 | Corrected spelling of Guiana from incorrect representation, \"Guyana\", used by Bridges. |
| July 27, 2022 | Corrected Structure coded value domain value, changing \"Caledonian/Hercynian Shield\" to \"Caledonian , Hercynian, or Appalachian Remnants\". |
| Attribute | Description |
|---|---|
| Bridges Full Name | Full name from E.M. Bridges\" 1990 \"World Geomorphology\" Division and if present province and section - intended for labeling print maps of small extents. |
| Bridges Division | Geomorphological Division as described in E.M. Bridges\" 1990 \"World Geomorphology\" - All Landforms have a division assigned, i.e., no nulls. |
| Bridges Province | Geomorphological Province as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all divisions are subdivided into provinces. |
| Bridges Section | Geomorphological Section as described in E.M. Bridges\" 1990 \"World Geomorphology\" - Not all provinces are subdivided into sections. |
| Structure | Landform Structure as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Alpine Systems: Area of mountains formed by orogenic (collisions of tectonic plates) processes in the past 350 to 500 million years. - Caledonian/Hercynian Shield Remnants: Area of mountains formed by orogenic (collisions of tectonic plates) processes 350 to 500 million years ago. - Gondwana or Laurasian Shields: Area underlaid by mostly crystalline rock formations fromed one billion or more years ago and unbroken by tectonic processes. - Rifted Shield Areas: fractures or spreading along or adjacent to tectonic plate edges. - Isolated Volcanic Areas: volcanic activity occurring outside of Alpine Systems and Rifted Shields. - Sedimentary: Areas of deposition occurring within the past 2.5 million years |
| Moist or Dry | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Coded Value Domain. Values include: - Moist: where annual aridity index is 1.0 or higher, which implies precipitation is absorbed or lost via runoff. - Dry: where annual aridity index is less than 1.0, which implies more precipitation evaporates before it can be absorbed or lost via runoff. |
| Topographic | Landform Topographic type variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Karagulle et. al. 2017 - based on rich morphometric characteristics. Coded Value Domain. Values include: - Plains: Areas with less than 90-meters of relief and slopes under 20%. - Hills: Areas with 90- to 300-meters of local relief. - Mountains: Areas with over 300-meters of relief - High Tablelands: Areas with over 300-meters of relief and 50% of highest elevation areas are of gentle slope. - Depressions or Basins: Areas of land surrounded land of higher elevation. |
| Glaciation Type | Landform Erosional/Depositional variable as described in Richard E. Murphy\"s 1968 \"Landforms of the World\" map. Values include: - Wisconsin/Wurm Glacial Extent: Areas of most recent glaciation which formed 115,000 years ago and ended 11,000 years ago. - Pre-Wisconsin/Wurm Glacial Extent: Areas subjected only to glaciation prior to 140,000 years ago. |
| Continent | Assigned by Author during data compilation. |
| Bridges Short Name | The name of the smallest of Division, Province, or Section containing this landform feature. |
| Murphy Landform Code | Combination of Richard E. Murphy\"s 1968 \"Landforms of the World\" variables expressed as a 3- or 4- letter notation. Used to label medium scale maps. |
| Area_Geo | Geodesic area in km2. |
| Primary Plate | Name of tectonic plate that either completely underlays this landform feature or underlays the largest portion of the landform\"s area. |
| Secondary Plate | When a landform is underlaid by two or more tectonic plates, this is the plate that underlays the second largest area. |
| 3rd Plate | When a landform is underlaid by three or more tectonic plates, this is the plate that underlays the third largest area. |
| 4th Plate | When a landform is underlaid by four or more tectonic plates, this is the plate that underlays the fourth largest area. |
| 5th Plate | When a landform is underlaid by five tectonic plates, this is the plate that underlays the fifth largest area. |
| Notes | Contains standard text to convey additional tectonic process characteristics. |
| Tectonic Process | Assigns values of orogenic, rift zone, or above subducting plate. |
| Date | Description of Change |
|---|---|
| July 20, 2022 | Corrected spelling of Guiana from incorrect representation, \"Guyana\", used by Bridges. |
| July 27, 2022 | Corrected Structure coded value domain value, changing \"Caledonian/Hercynian Shield\" to \"Caledonian , Hercynian, or Appalachian Remnants\". |
Официальный государственный ресурс Комитет по правовой статистике и специальным учетам Генеральной прокуратуры Республики Казахстан. Система накапливает данные о ДТП с привязкой к их местоположению, что позволяет проводить аналитическую работу, например выявлять наиболее опасные участки, при этом можно посмотреть статистику аварийности на любой месяц и год.
Official government resource of the Committee on Legal Statistics and Special Accounts of the Prosecutor General's Office of the Republic of Kazakhstan. The system accumulates data on road accidents with reference to their location, which makes it possible to carry out analytical work, for example, to identify the most dangerous areas, while you can see the accident statistics for any month and year.
Қазақстан Республикасы Бас прокуратурасының Құқықтық статистика және арнайы есепке алу жөніндегі комитетінің ресми мемлекеттік ресурсы. Жүйе ЖКО болған жеріне байланысты олар туралы деректерді жинақтайды, бұл аналитикалық жұмысты жүргізуге, мысалы, ең қауіпті аймақтарды анықтауға мүмкіндік береді, және бұл ретте кез келген ай мен жылдағы ЖКО статистикасын көруге болады.
Официальный государственный ресурс Комитет по правовой статистике и специальным учетам Генеральной прокуратуры Республики Казахстан. Система накапливает данные о ДТП с привязкой к их местоположению, что позволяет проводить аналитическую работу, например выявлять наиболее опасные участки, при этом можно посмотреть статистику аварийности на любой месяц и год.
Official government resource of the Committee on Legal Statistics and Special Accounts of the Prosecutor General's Office of the Republic of Kazakhstan. The system accumulates data on road accidents with reference to their location, which makes it possible to carry out analytical work, for example, to identify the most dangerous areas, while you can see the accident statistics for any month and year.
Қазақстан Республикасы Бас прокуратурасының Құқықтық статистика және арнайы есепке алу жөніндегі комитетінің ресми мемлекеттік ресурсы. Жүйе ЖКО болған жеріне байланысты олар туралы деректерді жинақтайды, бұл аналитикалық жұмысты жүргізуге, мысалы, ең қауіпті аймақтарды анықтауға мүмкіндік береді, және бұл ретте кез келген ай мен жылдағы ЖКО статистикасын көруге болады.
Официальный государственный ресурс Комитет по правовой статистике и специальным учетам Генеральной прокуратуры Республики Казахстан. Система накапливает данные о ДТП с привязкой к их местоположению, что позволяет проводить аналитическую работу, например выявлять наиболее опасные участки, при этом можно посмотреть статистику аварийности на любой месяц и год.
Official government resource of the Committee on Legal Statistics and Special Accounts of the Prosecutor General's Office of the Republic of Kazakhstan. The system accumulates data on road accidents with reference to their location, which makes it possible to carry out analytical work, for example, to identify the most dangerous areas, while you can see the accident statistics for any month and year.
Қазақстан Республикасы Бас прокуратурасының Құқықтық статистика және арнайы есепке алу жөніндегі комитетінің ресми мемлекеттік ресурсы. Жүйе ЖКО болған жеріне байланысты олар туралы деректерді жинақтайды, бұл аналитикалық жұмысты жүргізуге, мысалы, ең қауіпті аймақтарды анықтауға мүмкіндік береді, және бұл ретте кез келген ай мен жылдағы ЖКО статистикасын көруге болады.
Официальный государственный ресурс Комитет по правовой статистике и специальным учетам Генеральной прокуратуры Республики Казахстан. Система накапливает данные о ДТП с привязкой к их местоположению, что позволяет проводить аналитическую работу, например выявлять наиболее опасные участки, при этом можно посмотреть статистику аварийности на любой месяц и год.
Official government resource of the Committee on Legal Statistics and Special Accounts of the Prosecutor General's Office of the Republic of Kazakhstan. The system accumulates data on road accidents with reference to their location, which makes it possible to carry out analytical work, for example, to identify the most dangerous areas, while you can see the accident statistics for any month and year.
Қазақстан Республикасы Бас прокуратурасының Құқықтық статистика және арнайы есепке алу жөніндегі комитетінің ресми мемлекеттік ресурсы. Жүйе ЖКО болған жеріне байланысты олар туралы деректерді жинақтайды, бұл аналитикалық жұмысты жүргізуге, мысалы, ең қауіпті аймақтарды анықтауға мүмкіндік береді, және бұл ретте кез келген ай мен жылдағы ЖКО статистикасын көруге болады.
Официальный государственный ресурс Комитет по правовой статистике и специальным учетам Генеральной прокуратуры Республики Казахстан. Система накапливает данные о ДТП с привязкой к их местоположению, что позволяет проводить аналитическую работу, например выявлять наиболее опасные участки, при этом можно посмотреть статистику аварийности на любой месяц и год.
Official government resource of the Committee on Legal Statistics and Special Accounts of the Prosecutor General's Office of the Republic of Kazakhstan. The system accumulates data on road accidents with reference to their location, which makes it possible to carry out analytical work, for example, to identify the most dangerous areas, while you can see the accident statistics for any month and year.
Қазақстан Республикасы Бас прокуратурасының Құқықтық статистика және арнайы есепке алу жөніндегі комитетінің ресми мемлекеттік ресурсы. Жүйе ЖКО болған жеріне байланысты олар туралы деректерді жинақтайды, бұл аналитикалық жұмысты жүргізуге, мысалы, ең қауіпті аймақтарды анықтауға мүмкіндік береді, және бұл ретте кез келген ай мен жылдағы ЖКО статистикасын көруге болады.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Central Asia and Caucasus countries included (1st story map);
Uzbekistan, Kazakhstan, the Kyrgyz Republic, Tajikistan and Turkmenistan, Azerbaijan, Armenia and Georgia.
The map portfolio contains information from:
Federal sources - USGS, EPA, NOAA, NWS, NWC, FCC, USDOT, CEQ, DEP, and DOE
Maps are Compiled and Published by Esri.
", "keyword": [ "environment", "livingatlas", "wildfires", "sentinel2", "landcover", "landforms" ], "issued": "2024-04-05T00:18:23.000Z", "modified": "2024-05-07T14:14:47.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": " This work is licensed under the Esri Master License Agreement.Mapping the canopy height is important for understanding potential biodiversity, ecosystem function, or loss of carbon biomass due to deforestation, development, or fires.
Scientists at ETH Zurich created a method to estimate canopy height using the best available LiDAR from space and airborne sensors, including the Global Ecosystem Dynamics Investigation (GEDI) on board the International Space Station.
These LiDAR observations were used as ground truth data to train a deep convolutional neural network to regress canopy height from Sentinel-2 images at a 10 m spatial resolution. The accuracy of the vegetation height is ± 5 m.
You can see more information about this map below.
", "keyword": [ "" ], "issued": "2024-05-07T14:11:14.000Z", "modified": "2024-05-07T14:14:13.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::canopy-height-2020-1" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/27dca573fbe24f9995cc7bb16dadb954" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=7f823eb2061e41c28ed77042dd58c50e", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::biomass-1", "title": "Biomass", "description": "Plants play a central role in the carbon cycle by absorbing carbon dioxide from the atmosphere and incorporating it in the structure of the plant.
Globally living plants contain 500 billion metric tons of carbon, more than 60 times the amount of carbon released to the atmosphere by humans each year.
Understanding the distribution of the carbon stored in living plants, known as biomass , is key to estimating the effects of land use change on the climate.
This dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010.
This layer supports analysis but, if needed, a direct download of the data can be accessed here.
The dataset was constructed by combining the most reliable publicly available datasets and overlying them with the ESA CCI landcover map for the year 2010 [ESA, 2017], assigning to each grid cell the corresponding above-ground biomass value from the biomass map that was most appropriate for the grid cell’s landcover type.
Input carbon datasets were identified through a literature review of existing datasets on biomass carbon in terrestrial ecosystems published in peer-reviewed literature. To determine which datasets to combine to produce the global carbon density map, identified datasets were evaluated based on resolution, accuracy, biomass definition and reference date (see table 1 for further information on datasets selected).
Dataset | Scope | Year | Resolution | Definition |
Santoro et al. 2018 | Global | 2010 | 100 m | Above-ground woody biomass for trees that are >10 cm diameter-at-breast-height, masked to Landsat-derived canopy cover for 2010; biomass is expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. |
Xia et al. 2014 | Global | 1982-2006 | 8 km | Above-ground grassland biomass. |
Bouvet et al. 2018 | Africa | 2010 | 25 m | Above-ground woodland and savannah biomass; low woody biomass areas, which therefore exclude dense forests and deserts. |
Spawn et al. 2017 | Global | 2010 | 300 m | Synthetic, global above- and below-ground biomass maps that combine recently released satellite-based data of standing forest biomass with novel estimates for non-forest biomass stocks. |
After aggregating each selected dataset to a nominal scale of 300 m resolution, forest categories in the CCI ESA 2010 landcover dataset were used to extract above-ground biomass from Santoro et al. 2018 for forest areas. Woodland and savanna biomass were then incorporated for Africa from Bouvet et al. 2018., and from Santoro et al. 2018 for areas outside of Africa and outside of forest. Biomass from croplands, sparse vegetation and grassland landcover classes from CCI ESA, in addition to shrubland areas outside Africa missing from Santoro et al. 2018, were extracted from were extracted from Xia et al. 2014. and Spawn et al. 2017 averaged by ecological zone for each landcover type.
Below-ground biomass were added using root-to-shoot ratios from the 2006 IPCC guidelines for National Greenhouse Gas Inventories (IPCC, 2006). No below-ground values were assigned to croplands as ratios were unavailable. Above- and below-ground biomass were then summed together and multiplied by 0.5 to convert to carbon, generating a single above-and-below-ground biomass carbon layer.
This dataset has not been validated.
This work is licensed under the Esri Master License Agreement.This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Consumption Best Practices:
This work is licensed under the Esri Master License Agreement.This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Temperature Description | Growing Degree Days |
Very Hot | 9,000 – 13,500 |
Hot | 7,000 – 9,000 |
Warm | 4,500 – 7,000 |
Cool | 2,500 – 4,500 |
Cold | 1,000 – 2,500 |
Very Cold | 300 – 1,000 |
Arctic | 0 - 300 |
Aridity Description | Aridity Index |
Very Wet | 1.5 – 70 |
Wet | 1.0 – 1.5 |
Moist | 0.6 – 1.0 |
Semi-dry | 0.3 – 0.6 |
Dry | 0.1 – 0.3 |
Very Dry | 0.01 – 0.1 |
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Sentinel-2, 10, 20, and 60m Multispectral, Multitemporal, 13-band imagery is rendered on-the-fly and available for visualization and analytics. This imagery layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
This imagery layer can be applied across a number of industries, scientific disciplines, and management practices. Some applications include, but are not limited to, land cover and environmental monitoring, climate change, deforestation, disaster and emergency management, national security, plant health and precision agriculture, forest monitoring, watershed analysis and runoff predictions, land-use planning, tracking urban expansion, highlighting burned areas and estimating fire severity.
Geographic Coverage
Temporal Coverage
Image Selection/Filtering
Analysis Ready
Visual Rendering
Multispectral Bands
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
Additional Notes
Data Source
Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS , or alternatively access Sentinel2Look Viewer, EarthExplorer or the Copernicus Open Access Hub to download the scenes.
For information on Sentinel-2 imagery, see Sentinel-2.
Consumption Best Practices:
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Percent of neighborhood over 8% of slope | Slope Classes |
0 - 20% | 400 |
21% -50% | 300 |
51% - 80% | 200 |
>81% | 100 |
Change in elevation | Relief Class ID |
0 – 30 meters | 10 |
31 meter – 90 meters | 20 |
91 meter – 150 meters | 30 |
151 meter – 300 meters | 40 |
301 meter – 900 meters | 50 |
>900 meters | 60 |
Percent of neighborhood over 8% slope in upland or lowland areas | Profile Class |
Less than 50% gentle slope is in upland or lowland | 0 |
More than 75% of gentle slope is in lowland | 1 |
50%-75% of gentle slope is in lowland | 2 |
50-75% of gentle slope is in upland | 3 |
More than 75% of gentle slope is in upland | 4 |
This work is licensed under the Esri Master License Agreement.This current weather and wind map is updated from data provided by the National Oceanic and Atmospheric Administration (NOAA). Although the data includes approximately 11 weather variables for each location, the symbols on the map represent wind speed and direction. Click on the arrows for additional information.
For more information see below
", "keyword": [ "" ], "issued": "2024-04-05T05:57:25.000Z", "modified": "2024-04-13T01:40:15.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::current-weather-conditions" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/0ed943ab7484457e999cb57315492f6a" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=c0dc5d2adf6e456db80147a60a2774d7", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::bioclimates", "title": "Bioclimates", "description": "Climate plays a major role in determining the distribution of plants and animals. Bioclimatology , the study of climate as it affects and is affected by living organisms, is key to understanding the patterns of forests and deserts on the landscape, where productive agricultural lands may be found, and how changes in the climate will affect rare species.
This layer provides access to a 250m cell-sized raster with a bioclimatic stratification.
You can have more information from below.
", "keyword": [ "" ], "issued": "2024-04-07T04:20:54.000Z", "modified": "2024-04-12T22:03:06.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::bioclimates" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/c0dc5d2adf6e456db80147a60a2774d7" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=e360e0cba30c4094bb7923dd3e31a0cc", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-recent-earthquakes-1", "title": "Central Asia and Caucasus Recent Earthquakes", "description": "This map shows earthquakes by magnitude, and also provides earthquake impact details. Impact is measured relative to population and takes into account economic and fatality loss. Data from the U.S. Geological Survey is used to update this map every five minutes. Significant earthquakes remain on the map for 30 days.
Zoom into larger earthquakes to see representation of shake intensity zones from light to extreme.
Networks of linked sensors enable us to continually monitor—and map—earthquakes across the Pacific Region
", "keyword": [ "" ], "issued": "2024-04-05T05:51:00.000Z", "modified": "2024-04-11T23:00:56.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-recent-earthquakes-1" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/e360e0cba30c4094bb7923dd3e31a0cc" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=5f66718ee10f4f4f8d92d2c6d0088c82", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-populated-footprint-2020", "title": "Central Asia and Caucasus Populated Footprint 2020", "description": "This map shows populated footprint in 2020 is derived from WorldPop 100m and 1km resolution sources and represents a density of 14 people per square km. and higher.
You can access more information baout this map from below map.
", "keyword": [ "" ], "issued": "2024-04-05T06:04:30.000Z", "modified": "2024-04-11T23:00:08.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-populated-footprint-2020" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/5f66718ee10f4f4f8d92d2c6d0088c82" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=083ed729d7bc4c1d8de6e82d4319d687", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-openstreetmap-highways", "title": "Central Asia and Caucasus OpenStreetMap Highways", "description": "This map shows OpenStreetMap (OSM) highways data for Central Asia and Pacific Region, which is updated every 5 minutes with the latest edits. In OSM, a highway describes any kind of motorway, road, street or path.
Zoom in to large scales (e.g. Streets level or 1:20k scale) to see the highway features display. You can click on a feature to get the name of the highway (if available).
You can access the feature service and have more information about this map from below.
", "keyword": [ "" ], "issued": "2024-04-07T04:28:40.000Z", "modified": "2024-04-11T22:59:42.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-openstreetmap-highways" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/083ed729d7bc4c1d8de6e82d4319d687" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=8818a7b8f5854e179b357b9159ff2f23", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-openaq-recent-conditions-in-air-quality", "title": "Central Asia and Caucasus OpenAQ Recent Conditions in Air Quality", "description": "Every day activities such as driving, burning coal for electricity, wildfires, running factories, even cooking and cleaning, release particles into the air.
Besides being an irritant, small particles of 10, 2.5, 1 micrometers (PM10, PM2.5, PM1) or less are a health hazard since they can get deep into the respiratory system and damage the delicate tissues.
", "keyword": [ "" ], "issued": "2024-04-07T05:04:51.000Z", "modified": "2024-04-11T22:59:06.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-openaq-recent-conditions-in-air-quality" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/8818a7b8f5854e179b357b9159ff2f23" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=a4bde55b3ff843128d8f96b4de375601", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-landforms", "title": "Central Asia and Caucasus Landforms", "description": "Landforms are large recognizable features such as mountains, hills and plains; they are an important determinant of ecological character, habitat definition and terrain analysis.
Landforms are important to the distribution of life in natural systems and are the basis for opportunities in built systems, and therefore landforms play a useful role in all natural science fields of study and planning disciplines.
You can access more information below.
", "keyword": [ "" ], "issued": "2024-04-05T05:36:56.000Z", "modified": "2024-04-11T22:58:40.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-landforms" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/a4bde55b3ff843128d8f96b4de375601" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=e8587a79d98d4869aa7417378b0039da", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-land-cover-2020-vs-predicted-land-cover-2050", "title": "Central Asia and Caucasus Land Cover 2020 vs Predicted Land Cover 2050", "description": "2020 Land Cover map for the Central Asia and Cauasus from the WorldCover Consortium and European Space Agency. The map contains 11 different land cover classes at 10 m resolution. Please click on the map to see the pop-up for more information.
", "keyword": [ "" ], "issued": "2024-04-05T19:57:07.000Z", "modified": "2024-04-11T22:58:23.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-land-cover-2020-vs-predicted-land-cover-2050" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/e8587a79d98d4869aa7417378b0039da" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=19a080b87434446e87bfd3dafbec8f4c", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-land-cover-2020-land-cover-2050", "title": "Central Asia and Caucasus Land Cover 2020 Land Cover 2050", "description": "", "keyword": [ "mangrove", "mangroves", "sentinel-2", "sentinel-1", "land cover", "landcover", "WorldCover", "ESA", "environment", "esri_environment", "hosted" ], "issued": "2024-04-05T19:17:45.000Z", "modified": "2024-04-11T22:58:12.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-land-cover-2020-land-cover-2050" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://cacgeoportal.maps.arcgis.com/apps/instant/media/index.html?appid=19a080b87434446e87bfd3dafbec8f4c" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=d5b79c40671243b8ab9317edf008c8e9", "landingPage": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-canopy-height-2020", "title": "Central Asia and Caucasus Canopy Height 2020", "description": "Mapping the canopy height is important for understanding potential biodiversity, ecosystem function, or loss of carbon biomass due to deforestation, development, or fires.
Scientists at ETH Zurich created a method to estimate canopy height using the best available LiDAR from space and airborne sensors, including the Global Ecosystem Dynamics Investigation (GEDI) on board the International Space Station.
These LiDAR observations were used as ground truth data to train a deep convolutional neural network to regress canopy height from Sentinel-2 images at a 10 m spatial resolution. The accuracy of the vegetation height is ± 5 m.
You can see more information about this map below.
", "keyword": [ "" ], "issued": "2024-04-07T04:52:12.000Z", "modified": "2024-04-11T22:56:23.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::central-asia-and-caucasus-canopy-height-2020" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/d5b79c40671243b8ab9317edf008c8e9" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ec58ca85b06c4f04adf3c14322b4de38&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/cacgeoportal::central-asia-caucasus-boundary-mask", "title": "Central Asia Caucasus Boundary mask", "description": "This layer provides 2023 boundaries for the the countries within Central Asia and Caucasus region and it's a subset of World Country Boundaries.
Central Asia and Caucasus countries included:
Uzbekistan, Kazakhstan, the Kyrgyz Republic, Tajikistan and Turkmenistan, Azerbaijan, Armenia and Georgia.
The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online.
Data use December 2022 source from Garmin International, Inc and were published in May 2023. A new layer will be published in 12-18 months.
Other administrative boundaries for this country are also available.
", "keyword": [ "polygon", "boundary", "boundaries", "administrative division", "analysis ready", "WO", "WOR", "World", "WOR_Boundaries_2023" ], "issued": "2024-04-10T19:50:12.000Z", "modified": "2024-04-13T01:37:54.326Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "dkaragulle_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "40.0068,35.1277,87.3165,55.4413", "license": " This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.
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This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This basemap was designed with the Vizzuality team for use in the Half-Earth Project globe. The saturated palette and rich landcover tones are meant to engage an audience and to provide the sense that the earth is a charming and beautiful place worthy of thoughtful stewardship. As you zoom in, the saturated basemap is slowly replaced by imagery.
This basemap is the major component of the Vibrant Map. The Vibrant Map is configured to use these basemap tiles from global to regional extents, then transition to Esri's World Imagery basemap tiles for a seamless transition from small to large scale.
Find more information about this basemap, and its contributing data, here: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/creating-the-half-earth-vibrant-basemap/
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.This 3D basemap presents Overture Maps Foundation (OMF) data and other data sources in a topographic style and is hosted by Esri.
Esri created the Places and Labels, Trees, and the Topographic layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Esri 3D Buildings is a global 3D object layer that includes commercial 3D buildings data acquired from TomTom and Vantor, in addition to Esri Community Maps and Overture Maps Foundation data. The Esri 3D Buildings layer is an alternative to the OpenStreetMap (OSM) 3D Buildings layer, particularly for areas where the OSM data is missing accurate 3D attributes.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "3D Trees", "Topographic", "esri3dbuildings", "open3ddarklabels", "openTopographic3d", "open3dtrees" ], "issued": "2023-05-11T21:09:45.000Z", "modified": "2026-10-07T18:24:07.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This 3D basemap presents Overture Maps Foundation (OMF) data and other data sources in a dark street map style and is hosted by Esri.
Esri created the Places and Labels and the Streets Dark layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Esri 3D Buildings is a global 3D object layer that includes commercial 3D buildings data acquired from TomTom and Vantor, in addition to Esri Community Maps and Overture Maps Foundation data. The Esri 3D Buildings layer is an alternative to the OpenStreetMap (OSM) 3D Buildings layer, particularly for areas where the OSM data is missing accurate 3D attributes.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "Streets Night", "esri3dbuildings", "open3dlightlabels", "openStreetsnight3d" ], "issued": "2023-07-07T20:48:46.000Z", "modified": "2026-10-07T18:23:07.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This 3D basemap presents Overture Maps Foundation (OMF) data and other data sources in a street map style and is hosted by Esri.
Esri created the Places and Labels and the Streets layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Esri 3D Buildings is a global 3D object layer that includes commercial 3D buildings data acquired from TomTom and Vantor, in addition to Esri Community Maps and Overture Maps Foundation data. The Esri 3D Buildings layer is an alternative to the OpenStreetMap (OSM) 3D Buildings layer, particularly for areas where the OSM data is missing accurate 3D attributes.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "Streets", "esri3dbuildings", "open3ddarklabels", "openStreets3d" ], "issued": "2023-07-07T20:48:42.000Z", "modified": "2026-10-07T18:23:01.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This 3D basemap presents Overture Maps Foundation (OMF) data and other data sources in a dark navigation style and is hosted by Esri.
Esri created the Places and Labels and the Navigation Dark layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Esri 3D Buildings is a global 3D object layer that includes commercial 3D buildings data acquired from TomTom and Vantor, in addition to Esri Community Maps and Overture Maps Foundation data. The Esri 3D Buildings layer is an alternative to the OpenStreetMap (OSM) 3D Buildings layer, particularly for areas where the OSM data is missing accurate 3D attributes.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "Navigation Dark", "esri3dbuildings", "open3dlightlabels", "openNavigationdark3d" ], "issued": "2023-05-11T21:09:41.000Z", "modified": "2026-10-07T18:15:53.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This 3D basemap presents Overture Maps Foundation (OMF) data and other data sources in a navigation style and is hosted by Esri.
Esri created the Places and Labels and the Navigation layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Esri 3D Buildings is a global 3D object layer that includes commercial 3D buildings data acquired from TomTom and Vantor, in addition to Esri Community Maps and Overture Maps Foundation data. The Esri 3D Buildings layer is an alternative to the OpenStreetMap (OSM) 3D Buildings layer, particularly for areas where the OSM data is missing accurate 3D attributes.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "Navigation", "esri3dbuildings", "open3ddarklabels", "openNavigation3d" ], "issued": "2023-05-11T21:09:36.000Z", "modified": "2026-10-07T18:15:29.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This 3D basemap presents Overture Maps Foundation (OMF) data and other data sources in a light gray canvas style and is hosted by Esri.
Esri created the Places and Labels and the Light Gray Canvas layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Esri 3D Buildings is a global 3D object layer that includes commercial 3D buildings data acquired from TomTom and Vantor, in addition to Esri Community Maps and Overture Maps Foundation data. The Esri 3D Buildings layer is an alternative to the OpenStreetMap (OSM) 3D Buildings layer, particularly for areas where the OSM data is missing accurate 3D attributes.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "Light Gray Canvas", "esri3dbuildings", "open3ddarklabels", "openLightgray3d" ], "issued": "2023-07-07T20:48:30.000Z", "modified": "2026-10-07T18:10:01.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This work is licensed under the Esri Master License Agreement.This 3D basemap presents Overture Maps Foundation (OMF) data and other data sources in a dark gray canvas style and is hosted by Esri.
Esri created the Places and Labels and the Dark Gray Canvas layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Esri 3D Buildings is a global 3D object layer that includes commercial 3D buildings data acquired from TomTom and Vantor, in addition to Esri Community Maps and Overture Maps Foundation data. The Esri 3D Buildings layer is an alternative to the OpenStreetMap (OSM) 3D Buildings layer, particularly for areas where the OSM data is missing accurate 3D attributes.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "Dark Gray Canvas", "esri3dbuildings", "openDarkgray3d", "open3dlightlabels" ], "issued": "2023-07-07T20:48:24.000Z", "modified": "2026-10-07T18:00:47.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
This 3D basemap presents Overture Maps Foundation (OMF) data in the OpenStreetMap cartographic style and is hosted by Esri.
Esri created the Places and Labels, Trees, and the OpenStreetMap Style layers from the latest version of Overture data, and presents global data that has been processed by Esri. Esri created the layers using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes open data from many sources, including OpenStreetMap (OSM).
Open 3D Buildings is a global 3D object layer that presents open buildings data that has been processed and hosted by Esri. Esri created this buildings layer using data from the Overture Maps Foundation which is supported by Meta, Microsoft, Amazon, TomTom, Esri and other members. Overture includes data from many sources, including OpenStreetMap (OSM). The buildings layer will be updated each month with the latest version of Overture data, which includes the latest updates from OSM, Esri Community Maps, and other sources.
Overture Maps is a collaborative project to create reliable, easy-to-use, and interoperable open map data. Member companies work to bring together the best available open datasets, and the resulting data can be downloaded from Microsoft Azure or Amazon S3. Esri is a member of the OMF project and is excited to make this 3D web scene available to the ArcGIS user community.
", "keyword": [ "3D basemap", "3D", "Esri Basemaps", "Open Basemaps", "3D Buildings", "3D Labels", "3D Trees", "OpenStreetMapStyle", "open3dbuildings", "open3dtrees", "open3ddarklabels", "openOpenstreetmap3d" ], "issued": "2023-07-07T20:48:38.000Z", "modified": "2026-10-02T02:35:29.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-85.0511,180.0000,85.0511", "license": " This work is licensed under the Esri Master License Agreement.
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Вода - один из самых мощных и непредсказуемых природных факторов, способных за считанные часы изменить привычный ландшафт и образ жизни людей. Наводнения и паводки ежегодно наносят колоссальный ущерб инфраструктуре, сельскому хозяйству и экосистемам, затрагивая как густонаселённые города, так и удалённые территории.
С одним из таких катастрофических проявлений сил природы столкнулся Казахстан весной 2024 года.
", "keyword": [ "" ], "issued": "2026-03-17T10:12:25.000Z", "modified": "2026-09-17T12:00:58.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "vragulin_cacgeoportal2", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/cacgeoportal::от-сценария-к-действию" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/6f63152d50264ab09609fc9a149d3dd6" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=d053e72aabfd4c5ab4139c3829c1e11c&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/fedmaps::historical-hurricane-tracks", "title": "Historical Hurricane Tracks", "description": "This feature layer, utilizing data from the National Oceanic and Atmospheric Administration (NOAA), displays global hurricane tracks from 1842-2026. According to NOAA, “a tropical cyclone is a rotating low-pressure weather system that has organized thunderstorms but no fronts (a boundary separating two air masses of different densities). Tropical cyclones with maximum sustained surface winds of less than 39 miles per hour (mph) are called tropical depressions. Those with maximum sustained winds of 39 mph or higher are called tropical storms. When a storm's maximum sustained winds reach 74 mph, it is called a hurricane.”
This work is licensed under the Esri Master License Agreement.
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", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/fedmaps::historical-hurricane-tracks" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://services2.arcgis.com/FiaPA4ga0iQKduv3/arcgis/rest/services/IBTrACS_ALL_list_v04r00_lines_1/FeatureServer/0" }, { "@type": "dcat:Distribution", "title": "CSV", "format": "CSV", "mediaType": "text/csv", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/csv?layers=0" }, { "@type": "dcat:Distribution", "title": "Shapefile", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/shapefile?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoJSON", "format": "GeoJSON", "mediaType": "application/vnd.geo+json", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/geojson?layers=0" }, { "@type": "dcat:Distribution", "title": "KML", "format": "KML", "mediaType": "application/vnd.google-earth.kml+xml", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/kml?layers=0" }, { "@type": "dcat:Distribution", "title": "File Geodatabase", "format": "ZIP", "mediaType": "application/zip", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/filegdb?layers=0" }, { "@type": "dcat:Distribution", "title": "Feature Collection", "format": "TXT", "mediaType": "text/plain", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/featureCollection?layers=0" }, { "@type": "dcat:Distribution", "title": "Excel", "format": "XLSX", "mediaType": "application/vnd.ms-excel", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/excel?layers=0" }, { "@type": "dcat:Distribution", "title": "GeoPackage", "format": "GPKG", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/geoPackage?layers=0" }, { "@type": "dcat:Distribution", "title": "SQLite Geodatabase", "format": "GDB", "mediaType": "application/geopackage+sqlite3", "accessURL": "https://www.cacgeoportal.com/api/download/v1/items/d053e72aabfd4c5ab4139c3829c1e11c/sqlite?layers=0" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=79461a1ec0974301bde274177c7108bd&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/esri2::global-earthquake-archive", "title": "Global Earthquake Archive", "description": "The US Geological Survey maintains official records of earthquake\nactivity from around the globe. This layer displays all earthquakes since 1900\nwith a magnitude 4.0 or greater, and updates once a day. For more recent activity,\nplease see the Recent\nEarthquakes layer that updates every 5 minutes.
\n\nData\nsource: original data is accessed here and updated using the\nOverwriteFS\ntool in ArcGIS Online. The full\ndocumentation for all of the fields can be found on the USGS ComCat\nsite. For more information, please see the USGS PAGER program.
This map is\nprovided for informational purposes and is not monitored 24/7 for accuracy and\ncurrency. Always refer to USGS source for official guidance.
", "keyword": [ "livefeeds", "usgs", "earthquakes", "esri_environment", "environment", "Live Feeds", "hosted" ], "issued": "2021-12-16T01:56:27.000Z", "modified": "2026-11-10T22:34:15.500Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_livefeeds2", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-179.9997,-84.4220,179.9997,87.3860", "license": " This work is licensed under the Esri Master License Agreement.Classifying trees from point cloud data is useful in applications such as high-quality 3D basemap creation, urban planning, and forestry workflows. Trees have a complex geometrical structure that is hard to capture using traditional means. Deep learning models are highly capable of learning these complex structures and giving superior results.
Using the model
Follow the guide to use the model. The model can be used with the 3D Basemaps solution and ArcGIS Pro's Classify Point Cloud Using Trained Model tool. Before using this model, ensure that the supported deep learning frameworks libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.
Input
The model accepts unclassified point clouds with the attributes: X, Y, Z, and Number of Returns.
Note: This model is trained to work on unclassified point clouds that are in a projected coordinate system, where the units of X, Y, and Z are based on the metric system of measurement. If the dataset is in degrees or feet, it needs to be re-projected accordingly.
The provided deep learning model was trained using a training dataset with the full set of points. Therefore, it is important to make the full set of points available to the neural network while predicting - allowing it to better discriminate points of 'class of interest' versus background points. It is recommended to use 'selective/target classification' and 'class preservation' functionalities during prediction to have better control over the classification.
This model was trained on airborne lidar datasets and is expected to perform best with similar datasets. Classification of terrestrial point cloud datasets may work but has not been validated. For such cases, this pre-trained model may be fine-tuned to save on cost, time and compute resources while improving accuracy. When fine-tuning this model, the target training data characteristics such as class structure, maximum number of points per block, and extra attributes should match those of the data originally used for training this model (see Training data section below).
Output
The model will classify the point cloud into the following 2 classes with their meaning as defined by the American Society for Photogrammetry and Remote Sensing (ASPRS) described below:
| 0 | Background |
| 5 | Trees / High-vegetation |
Applicable geographies
This model is expected to work well in all regions globally, with an exception of mountainous regions. However, results can vary for datasets that are statistically dissimilar to training data.
Model architecture
This model uses the PointCNN model architecture implemented in ArcGIS API for Python.
Accuracy metrics
The table below summarizes the accuracy of the predictions on the validation dataset.
| Class | Precision | Recall | F1-score |
| Trees / High-vegetation (5) | 0.975374 | 0.965929 | 0.970628 |
| X, Y and Z linear unit | meter |
| Z range | -19.29 m to 314.23 m |
| Number of Returns | 1 to 5 |
| Intensity | 1 to 4092 |
| Point spacing | 0.6 ± 0.3 |
| Scan angle | -23 to +23 |
| Maximum points per block | 8192 |
| Extra attributes | Number of Returns |
| Class structure | [0, 5] |
", "keyword": [ "dlpk", "tree point", "point cloud", "deep learning", "urban planning", "pointcnn", "living atlas", "LivingAtlasDLPK" ], "issued": "2020-10-08T05:22:32.000Z", "modified": "2026-09-01T08:34:27.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_analytics", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-58.5659,180.0000,71.9991", "license": "
This work is licensed under the Esri Master License Agreement
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::tree-point-classification" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=afd124844ba84da69c2c533d4af10a58", "landingPage": "https://www.cacgeoportal.com/content/esri::land-cover-classification-sentinel-2", "title": "Land Cover Classification (Sentinel-2)", "description": "Land cover describes the surface of the earth. Land cover maps are useful in urban planning, resource management, change detection, agriculture, and a variety of other applications in which information related to earth surface is required. Land cover classification is a complex exercise and is hard to capture using traditional means. Deep learning models are highly capable of learning these complex semantics, giving superior results.
Using the model
Follow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.
Fine-tuning the model
This model can be fine-tuned using the Train Deep Learning Model tool. Follow the guide to fine-tune this model.
Input
Classified raster with the same classes as in Corine Land Cover (CLC) 2018.
Applicable geographies
This model is expected to work well in Europe and the United States.
This model has an overall accuracy of 82.41% with Level-1C imagery and 84.0% with Level-2A imagery, for CLC class level 2 classification (15 classes). The table below summarizes the precision, recall and F1-score of the model on the validation dataset.
| Class | Level-2A Imagery | Level-1C Imagery | ||||
| Precision | Recall | F1 Score | Precision | Recall | F1 Score | |
| Urban fabric | 0.81 | 0.83 | 0.82 | 0.82 | 0.84 | 0.83 |
| Industrial, commercial and transport units | 0.74 | 0.65 | 0.69 | 0.73 | 0.66 | 0.7 |
| Mine, dump and construction sites | 0.63 | 0.52 | 0.57 | 0.69 | 0.55 | 0.61 |
| Artificial, non-agricultural vegetated areas | 0.70 | 0.46 | 0.55 | 0.67 | 0.47 | 0.55 |
| Arable land | 0.86 | 0.90 | 0.88 | 0.86 | 0.89 | 0.87 |
| Permanent crops | 0.76 | 0.73 | 0.74 | 0.75 | 0.71 | 0.73 |
| Pastures | 0.75 | 0.71 | 0.73 | 0.74 | 0.71 | 0.73 |
| Heterogeneous agricultural areas | 0.61 | 0.56 | 0.58 | 0.62 | 0.51 | 0.56 |
| Forests | 0.88 | 0.93 | 0.90 | 0.88 | 0.92 | 0.9 |
| Scrub and/or herbaceous vegetation associations | 0.74 | 0.69 | 0.72 | 0.73 | 0.67 | 0.7 |
| Open spaces with little or no vegetation | 0.87 | 0.84 | 0.85 | 0.85 | 0.82 | 0.84 |
| Inland wetlands | 0.81 | 0.78 | 0.80 | 0.82 | 0.77 | 0.79 |
| Maritime wetlands | 0.74 | 0.76 | 0.75 | 0.87 | 0.89 | 0.88 |
| Inland waters | 0.94 | 0.92 | 0.93 | 0.94 | 0.91 | 0.92 |
| Marine waters | 0.98 | 0.99 | 0.98 | 0.97 | 0.98 | 0.98 |
| Class | Precision | Recall | F1 Score |
| Artificial surfaces | 0.85 | 0.81 | 0.83 |
| Agricultural areas | 0.90 | 0.91 | 0.91 |
| Forest and semi natural areas | 0.91 | 0.92 | 0.92 |
| Wetlands | 0.77 | 0.70 | 0.73 |
| Water bodies | 0.96 | 0.97 | 0.96 |
Sample results
Here are a few results from the model. To view more, see this story.
This work is licensed under the Esri Master License Agreement
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::land-cover-classification-sentinel-2" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=e732ee81a9c14c238a14df554a8e3225", "landingPage": "https://www.cacgeoportal.com/content/esri::land-cover-classification-landsat-8", "title": "Land Cover Classification (Landsat 8)", "description": "Land cover describes the surface of the earth. Land cover maps are useful in urban planning, resource management, change detection, agriculture, and a variety of other applications in which information related to earth surface is required. Land cover classification is a complex exercise and is hard to capture using traditional means. Deep learning models are highly capable of learning these complex semantics and can produce superior results.
Follow the guide to use the model. Before using this model, ensure that the supported deep learning libraries are installed. For more details, check Deep Learning Libraries Installer for ArcGIS.
Fine-tuning the model
This model can be fine-tuned using the Train Deep Learning Model tool. Follow the guide to fine-tune this model.
Raster, mosaic dataset, or image service. (Preferred cell size is 30 meters.)
Classified raster with the same classes as in the National Land Cover Database (NLCD) 2016.
Note: The classified raster contains 20 classes based on a modified Anderson Level II classification system as used by the National Land Cover Database.
This model has an overall accuracy of 77 percent. The table below summarizes the precision, recall and F1-score of the model on the validation dataset.
| Class | Collection 2 Level 2 Imagery | Collection 1 Level 1 Imagery | ||||
| Precision | Recall | F1 Score | Precision | Recall | F1 Score | |
| Open Water | 0.96 | 0.97 | 0.96 | 0.95 | 0.97 | 0.96 |
| Perennial Snow/Ice | 0.86 | 0.69 | 0.77 | 0.49 | 0.94 | 0.64 |
| Developed, Open Space | 0.51 | 0.38 | 0.44 | 0.43 | 0.38 | 0.4 |
| Developed, Low Intensity | 0.52 | 0.46 | 0.49 | 0.47 | 0.48 | 0.47 |
| Developed, Medium Intensity | 0.54 | 0.5 | 0.52 | 0.49 | 0.54 | 0.51 |
| Developed, High Intensity | 0.67 | 0.54 | 0.6 | 0.55 | 0.68 | 0.61 |
| Barren Land | 0.76 | 0.59 | 0.66 | 0.6 | 0.77 | 0.68 |
| Deciduous Forest | 0.74 | 0.81 | 0.78 | 0.78 | 0.76 | 0.77 |
| Evergreen Forest | 0.77 | 0.82 | 0.79 | 0.8 | 0.82 | 0.81 |
| Mixed Forest | 0.56 | 0.47 | 0.51 | 0.5 | 0.53 | 0.51 |
| Shrub/Scrub | 0.82 | 0.82 | 0.82 | 0.84 | 0.81 | 0.83 |
| Herbaceous | 0.78 | 0.74 | 0.76 | 0.79 | 0.77 | 0.78 |
| Hay/Pasture | 0.7 | 0.74 | 0.72 | 0.67 | 0.75 | 0.71 |
| Cultivated Crops | 0.87 | 0.91 | 0.89 | 0.91 | 0.9 | 0.9 |
| Woody Wetlands | 0.7 | 0.68 | 0.69 | 0.67 | 0.68 | 0.68 |
| Emergent Herbaceous Wetlands | 0.72 | 0.54 | 0.62 | 0.54 | 0.61 | 0.57 |
This work is licensed under the Esri Master License Agreement
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/content/esri::land-cover-classification-landsat-8" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0ed2adbeb476430e969d5bc4261eaf06&sublayer=0", "landingPage": "https://www.cacgeoportal.com/datasets/0ed2adbeb476430e969d5bc4261eaf06_0", "title": "ACLED Conflict and Demonstrations Event Data", "description": "The Armed Conflict Location & Event Data Project (ACLED) is a US-registered non-profit whose mission is to provide the highest quality real-time data on political violence and demonstrations globally. The information collected includes the type of event, its date, the location, the actors involved, a brief narrative summary, and any reported fatalities. ACLED users rely on our robust global dataset to support decision-making around policy and programming, accurately analyze political and country risk, support operational security planning, and improve supply chain management.
ACLED’s transparent methodology, expert team composed of 250 individuals speaking more than 70 languages, real-time coding system, and weekly update schedule are unrivaled in the field of data collection on conflict and disorder.
Global Coverage: We track political violence, demonstrations, and strategic developments around the world, covering more than 240 countries and territories.
Published Weekly: Our data are collected in real time and published weekly. It is the only dataset of its kind to provide such a high update frequency, with peer datasets most often updating monthly or yearly.
Historical Data: Our dataset contains at least two full years of data for all countries and territories, with more extensive coverage available for multiple regions.
Experienced Researchers: Our data are coded by experienced researchers with local, country, and regional expertise and language skills.
Thorough Data Collection and Sourcing: Pulling from traditional media, reports, local partner data, and verified new media, ACLED uses a tailor-made sourcing methodology for individual regions/countries.
Extensive Review Process: Our data go through an exhaustive multi-stage quality assurance process to ensure their accuracy and reliability. This process includes both manual and automated error checking and contextual review.
Clean, Standardized, and Validated: Our data can be easily connected with internal dashboards through our API or downloaded through the Data Export Tool on our website.
Resources Available on ESRI’s Living Atlas
ACLED data are available through the Living Atlas for the most recent 12 month period. The data are mapped to the centroid of first administrative divisions (“admin1”) within countries (e.g., states, districts, provinces) and aggregated by month. Variables in the data include:
The number of events per admin1-month, disaggregated by event type (protests, riots, battles, violence against civilians, explosions/remote violence, and strategic developments)
A conservative estimate of reported fatalities per admin1-month
The total number of distinct violent actors active in the corresponding admin1 for each month
These indicators are also available in the ACLED Conflict and Demonstrations Data Key Indicators Group Layer, which includes the same preconfigured layers but without the time-slider component or background layers.
Resources Available on the ACLED Website
The fully disaggregated dataset is available for download on ACLED's website including:
Date (day, month, year)
Actors, associated actors, and actor types
Location information (ADMIN1, ADMIN2, ADMIN3, location and geo coordinates)
A conservative fatality estimate
Disorder type, event types, and sub-event types
Tags further categorizing the data
A notes column providing a narrative of the event
For more information, please see the ACLED Codebook.
To explore ACLED’s full dataset, please register on the ACLED Access Portal, following the instructions available in this Access Guide. Upon registration, you’ll receive access to ACLED data on a limited basis. Commercial users have access to 3 free data downloads company-wide with access to up to one year of historical data. Public sector users have access to 6 downloads of up to three years of historical data organization-wide. To explore options for extended access, please reach out to our Access Team (access@acleddata.com).
Retirement Notice: This item is in mature support as of August 2026 and will retire in December 2027. Similar items are available in this ArcGIS Online Group. Esri and WorldPop recommend updating your maps and apps to use the new version.
This layer contains WorldPop's 100m resolution annual estimates of population density from the year 2000 to 2020.
Usage notes:
The population estimates in this layer are derived WorldPop's total population data, which use a Top-down unconstrained method which estimates the total population for each cell with a Random Forest-based dasymetric model (Stevens, F. R., Gaughan, A. E., Linard, C., & Tatem, A. J. (2015). Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data. PloS one, 10(2), e0107042) and converts these values to population density by dividing the number of people in each pixel by the pixel surface area. This diagram visually describes this model that uses known populated locations to analyze imagery to find similarly populated locations.
The DOI for the original WorldPop.org total population population data is 10.5258/SOTON/WP00645.
Recommended Citation: WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation. Accessed from https://worldpop.arcgis.com/arcgis/rest/services/WorldPop_Total_Population_100m/ImageServer, which was acquired from WorldPop in December 2021.
", "keyword": [ "WorldPop", "worldpop_soton", "Dasymetric", "Population", "retiring-2027-12" ], "issued": "2022-03-01T17:25:29.000Z", "modified": "2026-08-10T18:34:55.000Z", "publisher": { "name": "WorldPop" }, "contactPoint": { "@type": "vcard:Contact", "fn": "WorldPop_Project", "hasEmail": "mailto:noreply@worldpop.org" }, "accessLevel": "public", "spatial": "-180.0000,-72.0009,180.0000,83.6287", "license": "https://creativecommons.org/licenses/by/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/WorldPop::worldpop-population-density-2000-2020-100m" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://worldpop.arcgis.com/arcgis/rest/services/WorldPop_Population_Density_100m/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=56eb0f050c61434782f008a08331d23a", "landingPage": "https://www.cacgeoportal.com/datasets/WorldPop::worldpop-total-population-2000-2020-1km", "title": "WorldPop Total Population 2000-2020 1km", "description": "Retirement Notice: This item is in mature support as of August 2026 and will retire in December 2027. Similar items are available in this ArcGIS Online Group. Esri and WorldPop recommend updating your maps and apps to use the new version.
This layer contains WorldPop's 1-km resolution annual estimates of total population from the year 2000 to 2020. WorldPop estimated the total population for each cell in this data using a random forest-based dasymetric redistribution model. The estimates in this layer use WorldPop's Top-down unconstrained method which estimates the total population for each cell with a Random Forest-based model. This diagram visually describes this model that uses known populated locations to analyze imagery to find similarly populated locations.
The DOI for the original WorldPop.org total population data is 10.5258/SOTON/WP00647.
Recommended Citation: WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation. Accessed from https://worldpop.arcgis.com/arcgis/rest/services/WorldPop_Total_Population_1km/ImageServer, which was acquired from https://www.worldpop.org/doi/10.5258/SOTON/WP00647 on 15 Sep, 2021.
", "keyword": [ "WorldPop", "Population", "Dasymetric", "worldpop_soton", "retiring-2027-12" ], "issued": "2021-11-03T21:19:47.000Z", "modified": "2026-08-10T18:34:20.000Z", "publisher": { "name": "WorldPop" }, "contactPoint": { "@type": "vcard:Contact", "fn": "WorldPop_Project", "hasEmail": "mailto:noreply@worldpop.org" }, "accessLevel": "public", "spatial": "-180.0000,-72.0004,180.0000,84.0079", "license": "https://creativecommons.org/licenses/by/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/datasets/WorldPop::worldpop-total-population-2000-2020-1km" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://worldpop.arcgis.com/arcgis/rest/services/WorldPop_Total_Population_1km/ImageServer" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=5826b14592ab4ebc99574919165bd860", "landingPage": "https://www.cacgeoportal.com/datasets/esri::world-bioclimates", "title": "World Bioclimates", "description": "Temperature Description | Growing Degree Days |
Very Hot | 9,000 – 13,500 |
Hot | 7,000 – 9,000 |
Warm | 4,500 – 7,000 |
Cool | 2,500 – 4,500 |
Cold | 1,000 – 2,500 |
Very Cold | 300 – 1,000 |
Arctic | 0 - 300 |
Aridity Description | Aridity Index |
Very Wet | 1.5 – 70 |
Wet | 1.0 – 1.5 |
Moist | 0.6 – 1.0 |
Semi-dry | 0.3 – 0.6 |
Dry | 0.1 – 0.3 |
Very Dry | 0.01 – 0.1 |
This work is licensed under the Esri Master License Agreement. Analysis
This work is licensed under the Esri Master License Agreement.This story map describes and demonstrates how OpenStreetMap (OSM) data is accessible in ArcGIS, and how ArcGIS users can help to improve OSM with their GIS data. Learn the various ways in which you can access OSM data for your work, and how you can share data to be used in OSM.
OpenStreetMap is a free, editable map of the world built by a community of mappers that contribute and maintain geospatial data about our world. It includes a worldwide database that is maintained by over 8 million registered users, with millions of map changes each day. Esri provides access to OSM data to ArcGIS users in multiple ways, including hosted vector tiles, feature layers, and scene layers.
This story map shows several examples of how you can access OSM data in your work, and how ArcGIS organizations (e.g. cities, counties, states, nations) can share data they maintain (e.g. buildings, addresses, roads) to be used in OSM. The story illustrates the open data pipeline between ArcGIS and OSM, where open data created and published with ArcGIS can flow to OpenStreetMap and then OSM data flows back again to ArcGIS.
", "keyword": [ "OpenStreetMap", "OSM", "ArcGIS", "LOTR" ], "issued": "2022-06-08T18:12:43.000Z", "modified": "2026-08-07T19:54:02.000Z", "publisher": { "name": "ArcGIS Living Atlas Team" }, "contactPoint": { "@type": "vcard:Contact", "fn": "deane", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "https://creativecommons.org/licenses/by/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/arcgis-content::arcgis-to-openstreetmap" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://storymaps.arcgis.com/stories/fed0d0479b8146eaa6160e272426a4dd" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=c12fc31fdbf048b892dec3bb49f96f3f", "landingPage": "https://www.cacgeoportal.com/pages/cacgeoportal::news", "title": "News", "description": "{{description}}", "keyword": [ "" ], "issued": "2025-12-01T09:28:38.000Z", "modified": "2026-08-07T19:47:03.000Z", "publisher": { "name": "Central Asia and the Caucasus GeoPortal" }, "contactPoint": { "@type": "vcard:Contact", "fn": "konstantin_cacgeoportal", "hasEmail": "mailto:cacgeoportal@esri.com" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/pages/cacgeoportal::news" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=77bbcb86d5eb48a8adb084d499c1f7ef", "landingPage": "https://www.cacgeoportal.com/maps/77bbcb86d5eb48a8adb084d499c1f7ef", "title": "{{name}}", "description": "{{description}}", "keyword": [ "esri_landscape", "landscape7", "ecophysiography", "landscape", "ecology", "landcover", "ExU" ], "issued": "2015-07-14T21:10:57.000Z", "modified": "{{modified:toISO}}", "publisher": { "name": "{{source}}" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_landscape2", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "This work is licensed under the Esri Master License Agreement. | \n Percent of\n neighborhood over 8% of slope \n | \n \n Slope Classes \n | \n
| \n 0 - 20% \n | \n \n 400 \n | \n
| \n 21% -50% \n | \n \n 300 \n | \n
| \n 51% - 80% \n | \n \n 200 \n | \n
| \n >81% \n | \n \n 100 \n | \n
| \n Change in elevation \n | \n \n Relief Class ID \n | \n
| \n 0 – 30 meters \n | \n \n 10 \n | \n
| \n 31 meter – 90 meters \n | \n \n 20 \n | \n
| \n 91 meter – 150 meters \n | \n \n 30 \n | \n
| \n 151 meter – 300\n meters \n | \n \n 40 \n | \n
| \n 301 meter – 900\n meters \n | \n \n 50 \n | \n
| \n >900 meters \n | \n \n 60 \n | \n
| \n Percent of neighborhood over 8% slope in upland or lowland\n areas \n | \n \n Profile Class \n | \n
| \n Less than 50% gentle\n slope is in upland or lowland \n | \n \n 0 \n | \n
| \n More than 75% of\n gentle slope is in lowland \n | \n \n 1 \n | \n
| \n 50%-75% of gentle\n slope is in lowland \n | \n \n 2 \n | \n
| \n 50-75% of gentle\n slope is in upland \n | \n \n 3 \n | \n
| \n More than 75% of\n gentle slope is in upland \n | \n \n 4 \n | \n
This work is licensed under the Esri Master License Agreement. Faults are where two pieces of Earth's crust meet and are associated with movement. Sometimes they move suddenly, generating an earthquake. According to the USGS, there are several types of faults, characterized by how the two pieces are moving relative to each other:
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Consumption Best Practices:
Update Frequency: Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:
In addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.
The specific layers provided in this service have been Time Enabled and include:
Read more in our blog: Live Earthquake Mapping for Everyone.
This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to USGS source for official guidance.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.Consumption Best Practices:
Update Frequency: Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:
In addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.
The specific layers provided in this service have been Time Enabled and include:
Read more in our blog: Live Earthquake Mapping for Everyone.
This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to USGS source for official guidance.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.Consumption Best Practices:
Update Frequency: Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:
In addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.
The specific layers provided in this service have been Time Enabled and include:
Read more in our blog: Live Earthquake Mapping for Everyone.
This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to USGS source for official guidance.
If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!
This work is licensed under the Esri Master License Agreement.This layer estimates the mean of the most likely interpolated values of carbon content for every from soilgrids.org SOC layer to a depth of 30cm.
A 0 to 200cm depth version of this layer is also available.
Variable mapped: grams of carbon per kilogram of soil (g/kg)
Data Projection: Goode's Homolosine (land) WKID 54052
Mosaic Projection: Goode's Homolosine (land) WKID 54052
Extent: World, except Antarctica
Cell Size: 250 m
Source Type: Scientific
Visible Scale: All scales are visible
Source: SoilGrids.org
Publication Date: June 14, 2021
To determine the soil organic carbon to 30cm depth, we used a weighted average using the top three mean layers of soil organic carbon, weighted as follows:
((0-5cm * 1) + (5-15cm * 2) + (15-30cm * 3))/ 6
The output is actually converted from decigrams per kilogram (integers) to grams per kilogram (32 bit floating point) so the following formula was used:
(0-5cm + (5-15cm * 2) + (15-30cm * 3)) / 60
This work is licensed under the Esri Master License Agreement.Data from the soilgrids.org mean predictions for soc were used to create this layer. You may access soil organic carbon values in one of six depth ranges. To select one choose the depth variable in the multidimensional selector in your map client.
| Mean depth (cm) | Actual depth range of data |
| -2.5 | 0-5cm depth range |
| -10 | 5-15cm depth range |
| -22.5 | 15-30cm depth range |
| -45 | 30-60cm depth range |
| -80 | 60-100cm depth range |
| -150 | 100-200cm depth range |
What can you do with this Layer?
This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.
Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:
In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type \"world soils soilgrids\" in the search box and browse to the layer. Select the layer then click Add to Map.
In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type \"world soils soilgrids\" in the search box, browse to the layer then click OK.
In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.
Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.
This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
Analysis
Answers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.
To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.
This work is licensed under the Esri Master License Agreement.| Mean depth (cm) | Actual depth range of data |
| -2.5 | 0-5cm depth range |
| -10 | 5-15cm depth range |
| -22.5 | 15-30cm depth range |
| -45 | 30-60cm depth range |
| -80 | 60-100cm depth range |
| -150 | 100-200cm depth range |
What can you do with this Layer?
This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.
Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:
In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type \"world soils soilgrids\" in the search box and browse to the layer. Select the layer then click Add to Map.
In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type \"world soils soilgrids\" in the search box, browse to the layer then click OK.
In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.
Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.
This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
Analysis
Answers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.
To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.
This work is licensed under the Esri Master License Agreement.
| Mean depth (cm) | Actual depth range of data |
| -2.5 | 0-5cm depth range |
| -10 | 5-15cm depth range |
| -22.5 | 15-30cm depth range |
| -45 | 30-60cm depth range |
| -80 | 60-100cm depth range |
| -150 | 100-200cm depth range |
What can you do with this Layer?
This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.
Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:
In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type \"world soils soilgrids\" in the search box and browse to the layer. Select the layer then click Add to Map.
In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type \"world soils soilgrids\" in the search box, browse to the layer then click OK.
In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.
Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.
This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
Analysis
Answers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.
To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.
This work is licensed under the Esri Master License Agreement.| Mean depth (cm) | Actual depth range of data |
| -2.5 | 0-5cm depth range |
| -10 | 5-15cm depth range |
| -22.5 | 15-30cm depth range |
| -45 | 30-60cm depth range |
| -80 | 60-100cm depth range |
| -150 | 100-200cm depth range |
What can you do with this Layer?
This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.
Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:
In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type \"world soils soilgrids\" in the search box and browse to the layer. Select the layer then click Add to Map.
In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type \"world soils soilgrids\" in the search box, browse to the layer then click OK.
In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.
Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.
This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
Analysis
Answers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.
To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.
This work is licensed under the Esri Master License Agreement.Data from the soilgrids.org mean predictions for ocd were used to create this layer. You may access organic carbon density values in one of six depth ranges. To select one choose the depth variable in the multidimensional selector in your map client.
| Mean depth (cm) | Actual depth range of data |
| -2.5 | 0-5cm depth range |
| -10 | 5-15cm depth range |
| -22.5 | 15-30cm depth range |
| -45 | 30-60cm depth range |
| -80 | 60-100cm depth range |
| -150 | 100-200cm depth range |
What can you do with this Layer?
This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.
Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:
In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type \"world soils soilgrids\" in the search box and browse to the layer. Select the layer then click Add to Map.
In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type \"world soils soilgrids\" in the search box, browse to the layer then click OK.
In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.
Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.
This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
Analysis
Answers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.
To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.
This work is licensed under the Esri Master License Agreement.Data from the soilgrids.org mean predictions for nitrogen were used to create this layer. You may access nitrogen values in one of six depth ranges. To select one choose the depth variable in the multidimensional selector in your map client.
| Mean depth (cm) | Actual depth range of data |
| -2.5 | 0-5cm depth range |
| -10 | 5-15cm depth range |
| -22.5 | 15-30cm depth range |
| -45 | 30-60cm depth range |
| -80 | 60-100cm depth range |
| -150 | 100-200cm depth range |
What can you do with this Layer?
This layer is suitable for both visualization and analysis across the ArcGIS system. This layer can be combined with your data and other layers from the ArcGIS Living Atlas of the World in ArcGIS Online and ArcGIS Pro to create powerful web maps that can be used alone or in a story map or other application.
Because this layer is part of the ArcGIS Living Atlas of the World it is easy to add to your map:
In ArcGIS Online, you can add this layer to a map by selecting Add then Browse Living Atlas Layers. A window will open. Type \"world soils soilgrids\" in the search box and browse to the layer. Select the layer then click Add to Map.
In ArcGIS Pro, open a map and select Add Data from the Map Tab. Select Data at the top of the drop down menu. The Add Data dialog box will open on the left side of the box, expand Portal if necessary, then select Living Atlas. Type \"world soils soilgrids\" in the search box, browse to the layer then click OK.
In ArcGIS Pro you can use the built-in raster functions or create your own to create custom extracts of the data. Imagery layers provide fast, powerful inputs to geoprocessing tools, models, or Python scripts in Pro.
Online you can filter the layer to show subsets of the data using the filter button and the layer's built-in raster functions.
This layer is part of the Living Atlas of the World that provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.
Analysis
Answers to many questions may be found at soilgrids.org (ISRIC) frequently asked questions (faq) page about the data.
To make this layer, Esri reprojected the expected value of ISRIC soil grids from soilgrids' source projection (goode's land WKID 54052) to web mercator projection, nearest neighbor, to facilitate online mapping. The resolution in web mercator projection is the same as the original projection, 250m. But keep in mind that the original dataset has been reprojected to make this web mercator version.
This work is licensed under the Esri Master License Agreement.Time Extent: May 2021
Units: meters
Cell Size: 250m
Source Type: scientific
Pixel Type: 16 bit integer
Analysis
This work is licensed under the Esri Master License Agreement.To learn about the creation of this dashboard, read the blog: Making an Auto-Focusing Real-Time Dashboard. Feel free to make a copy and see how it is configured.
", "keyword": [ "Earthquakes", "Dashboard", "Operations Dashboard", "Monitoring", "Emergency Management", "USGS" ], "issued": "2019-02-12T22:36:00.000Z", "modified": "2026-07-09T17:44:37.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_dashboardpub", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "", "license": "| Band | Description | Wavelength (µm) | Resolution (m) |
|---|---|---|---|
| 1 | Visible (Red) | 0.620 - 0.670 | 250 |
| 2 | Shortwave Near IR | 0.841 - 0.876 | 250 |
| Band | Description | Wavelength (µm) | Resolution (m) |
|---|---|---|---|
| 1 | Visible (Red) | 0.620 - 0.670 | 250 |
| 3 | Visible (Blue) | 0.459 - 0.479 | 500 |
| 4 | Visible (Green) | 0.545 - 0.565 | 500 |
| Band | Description | Wavelength (µm) | Resolution (m) |
|---|---|---|---|
| 1 | Visible (Red) | 0.620 - 0.670 | 250 |
| 3 | Visible (Blue) | 0.459 - 0.479 | 500 |
| 4 | Visible (Green) | 0.545 - 0.565 | 500 |
| Band | Description | Wavelength (µm) | Resolution (m) |
|---|---|---|---|
| 1 | Visible (Red) | 0.620 - 0.670 | 250 |
| 3 | Visible (Blue) | 0.459 - 0.479 | 500 |
| 4 | Visible (Green) | 0.545 - 0.565 | 500 |
Analysis
Analysis
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.
This layer portrays elevation as an artistic hillshade. The map is designed to be used as a backdrop for topographical, soil, hydro, landcover or other outdoor recreational maps. It’s a default relief background in various basemaps such as Topographic, Terrain with Labels.
The map is compiled from a variety of data sources from commercial, community maps and many authoritative organizations across the globe. The basemap has global coverage down to a scale of ~1:72k. In the United States, parts of Europe, Asia and Africa coverage goes down to ~1:9k.
To see the coverage and sources of various datasets comprising this map layer, view the World Elevation Coverage Map. Additionally, this layer uses data from Vantor’s Precision 3D Digital Terrain Models for parts of the globe.
The map is based on the Multi-directional hillshade algorithm.
This work is licensed under the Esri Master License Agreement.
The Terrain 3D layer provides global elevation surface to use as a ground in ArcGIS 3D applications.
What can you do with this layer?
Use this layer to visualize your maps and layers in 3D using applications like the Scene Viewer in ArcGIS Online and ArcGIS Pro.
Show me how
1) Working with Scenes in ArcGIS Pro or ArcGIS Online Scene Viewer
2) Select an appropriate basemap or use your own
3) Add your unique 2D and 3D data layers to the scene. Your data are simply added on the elevation. If your data have defined elevation (z coordinates) this information will be honored in the scene
4) Share your work as a Web Scene with others in your organization or the public
Dataset Coverage
To see the coverage and sources of various datasets comprising this elevation layer, view the World Elevation Coverage Map. Additionally, this layer contains data from Vantor’s Precision 3D Digital Terrain Models for parts of the globe.
This work is licensed under the Esri Master License Agreement.
What can you do with this layer?
This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop. Is useful for scientific modeling, but only at global scales. The GLDAS snowpack data is useful for modeling, but only at global scales.
Time: This is a time-enabled layer. It shows the total evaporative loss during the map's time extent, or if time animation is disabled, a time range can be set using the layer's multidimensional settings. The map shows the sum of all months in the time extent. Minimum temporal resolution is one month; maximum is one year.
Important: You must switch from the cartographic renderer to the analytic renderer in the processing template tab in the layer properties window before using this layer as an input to geoprocessing tools.
This work is licensed under the Esri Master License Agreement.
Temporal Coverage and Limitations of Use
Events are updated as frequently as every 5 minutes and are available up to 30 days with the following exceptions:
In addition to event points, ShakeMaps are also provided. These have been dissolved by Shake Intensity to reduce the Layer Complexity.
The specific layers provided in this service have been Time Enabled and include:
Light Basemap
Dark Basemap
The shakemaps have been dissolved by a unique value and ordered so that the most intense shaking appears on top. This is achieved by using symbol level drawing.
Shake Map
This work is licensed under the Esri Master License Agreement
View Summary | View Terms of Use
", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://www.cacgeoportal.com/apps/arcgis-content::recent-global-earthquakes-web-app" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://www.arcgis.com/apps/webappviewer/index.html?id=e80b4637b2c84c98a1030cebcdd61941" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=e8caa0e645e34a468fc0f5bfbbb556d3", "landingPage": "https://www.cacgeoportal.com/apps/arcgis-content::air-pollution-policy", "title": "Air Pollution & Policy", "description": "This story map provides a guided overview of global air pollution and international policy. Learn more about global particulate matter (PM2.5) patterns, mortality rates caused by air pollution, trends in air quality, and more. This is explored using data derived from NASA SEDAC gridded PM 2.5, OpenAQ air quality stations, and World Health Organization mortality rates.
A few topics covered by this story map are:
This work is licensed under the Esri Master License Agreement.See License for Copernicus Products PDF.
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement.These data were produced by NOAA and are not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights in these data worldwide through the Creative Commons Zero 1.0 Universal Public Domain Dedication (CC0 1.0)
CC0 1.0 Universal
",
"distribution": [
{
"@type": "dcat:Distribution",
"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://www.cacgeoportal.com/maps/4e681ff69e0e4b90866bb6a2e03db24a"
}
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},
{
"@type": "dcat:Dataset",
"identifier": "https://www.arcgis.com/home/item.html?id=8e93e0f942ae4d54a8d089e3cd5d2774",
"landingPage": "https://www.cacgeoportal.com/maps/8e93e0f942ae4d54a8d089e3cd5d2774",
"title": "{{name}}",
"description": "{{description}}",
"keyword": [
"NOAA",
"satellite",
"weather",
"disaster",
"earth observations",
"GOES",
"Himawari",
"infrared",
"imagery"
],
"issued": "2019-06-26T18:24:55.000Z",
"modified": "{{modified:toISO}}",
"publisher": {
"name": "{{source}}"
},
"contactPoint": {
"@type": "vcard:Contact",
"fn": "VizLab_noaa",
"hasEmail": "{{orgContactEmail}}"
},
"accessLevel": "public",
"spatial": "",
"license": "Public domain These data were produced by NOAA and are not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights in these data worldwide through the Creative Commons Zero 1.0 Universal Public Domain Dedication (CC0 1.0)
CC0 1.0 Universal",
"distribution": [
{
"@type": "dcat:Distribution",
"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://www.cacgeoportal.com/maps/8e93e0f942ae4d54a8d089e3cd5d2774"
}
],
"theme": ""
},
{
"@type": "dcat:Dataset",
"identifier": "https://www.arcgis.com/home/item.html?id=bd6b545b95654d91a0b7faf7b5e010f5",
"landingPage": "https://www.cacgeoportal.com/datasets/esri::landsat-level-2-1",
"title": "Landsat Level-2",
"description": "Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
Band | Description | Wavelength* (µm) | Spatial Resolution (m) |
1 | Coastal aerosol** | 0.43 - 0.45 | 30 |
2 | Blue | 0.45 - 0.52 | 30 |
3 | Green | 0.52 - 0.60 | 30 |
4 | Red | 0.63 - 0.69 | 30 |
5 | NIR | 0.76 - 0.90 | 30 |
6 | SWIR 1 | 1.55 - 1.75 | 30 |
7 | SWIR 2 | 2.08 - 2.35 | 30 |
8 | Pixel QA | NA | 30 |
9 | Surface Temperature (Kelvin) | 10.4-12.5 | 30*** |
10 | Surface Temperature QA | NA | 30 |
*This is the max range for each band based on the combined missions. For reference to the distinct ranges for each mission see this document.
**Coastal Aerosol is only available from Landsat 8 and 9. This band is simply a place holder and does not contain data for the other missions.
***The thermal band is acquired at 100 or 120 meter resolution and resampled to 30 meters.
Learn more about the Quality Assessment (QA) Bands
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). The imagery in this layer is hosted in Azure as part of the Microsoft Planetary Computer Data Catalog.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
Additional Usage Notes
Data Source
Sentinel-2 imagery is the result of close collaboration between the European Space Agency (ESA), the European Commission and the USGS. The source data for this service is processed by Esri and hosted in Azure as as part of the Planetary Computer Data Catalog.
For information on Sentinel-2 imagery, see Sentinel-2.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
View Summary | View Terms of Use
World Countries Generalized provides a generalized basemap layer for the countries of the world. It has fields for official names and country codes. The generalized boundaries improve draw performance and effectiveness at global and continental levels.
This layer is best viewed out beyond a maximum scale (zoomed in) of 1:5,000,000.
The sources of this dataset are Esri, Garmin, and U.S. Central Intelligence Agency (The World Factbook). It is updated every 12-18 months as country names or significant borders change.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Phenomenon Mapped: Vegetation Condition Index
Units: None
Time Interval: 10-day
Time Extent: 1984-Present
Cell Size: 1 km
Pixel Type: 32-bit Signed Integer
Data Projection: WGS 1984
Mosaic Projection: WGS 1984 Web Mercator
Source: Food and Agriculture Organization of the United Nations
Update Cycle: 10-day + 3-4 days lag
The Agricultural\nStress Index (ASI) is a quick-look indicator that facilitates the early\nidentification of cropped land with a high likelihood of water stress\n(drought). ASI related products (maps, spatial aggregation based on\nadministrative unit) are processed by FAO GIEWS (Global Information and Early\nWarning System on Food and Agriculture) every 10 days.
ASI Annual Summary\nis processed at the end of crop season, globally defined as 30 June. It depicts the percentage of arable\nland, within an administrative area, that has been affected by drought\nconditions over the entire cropping season. It differs from ASI dekadal product\n(10-days), which is based on conditions from the start of the season up to the\ncurrent dekad.
Phenomenon Mapped: Agricultural Stress Index
Units: Percent
Time Interval: 1-year
Time Extent: 1984-Present
Cell Size: 1 km
Pixel Type: 32-bit Signed Integer
Data Projection: WGS 1984
Mosaic Projection: WGS 1984 Web Mercator
Source: Food and Agriculture\nOrganization of the United Nations
Update Cycle: Annual, 5th of July for the previous crop year
The Index is based on the integration of the Vegetation\nHealth Index (VHI) in two dimensions that are critical in the assessment of a\ndrought event in agriculture: temporal and spatial. The first step of the ASI\ncalculation is a temporal averaging of the VHI, assessing the intensity and\nduration of dry periods occurring during the crop cycle at the pixel level;\nthis calculation includes the use of crop coefficients, which introduces\nsensitivity of a crop to water stress during each phenological phase. The\nsecond step determines the spatial extent of drought events by calculating the\npercentage of pixels in arable areas with a VHI value below 35 percent (this\nvalue was identified as a critical threshold in assessing the extent of drought\nin previous research by Kogan, 1995). Each administrative area is classified\naccording to the percentage of the affected area to facilitate the quick\ninterpretation of results.
This index is computed in two\ntemporal granularities: Near Real Time (10 days) and Annual Summary. Historic Drought Frequency dataset is also computed based\non the entire ASI Annual Summary datasets (1984-2021).
Explore this and related data in this web application.
More information please\nvisit FAO GIEWS Earth Observation\nwebsite
\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.
This tile layer presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. It is designed to be used with World Hillshade. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.
This work is licensed under the Esri Master License Agreement.
