SPATIAL DATA AND ANALYTICS GeoHub

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Dataset name Description SDG License Updated at
Electricity Access Estimate 2020 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2019 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2018 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2017 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2016 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2015 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2014 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2013 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Estimate 2012 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0
Electricity Access Forecast 2030 1km

Predicted likelihood that a settlement is electrified (0 to 1). The High Resolution Electricity Access (HREA) project leverages high resolution satellite data to generate estimates of electrification access at a higher spatial resolution than ever before. The estimates are derived from the first long-scale analysis of the complete archive of nighttime light imagery from the VIIRS sensor, from 2012–present, tracked against new population estimates based on computer vision techniques identifying all human-built settlement structures.
7
Creative Commons BY 4.0

Analytical tools

More and more geospatial analytical tools for decision making are being developed to GeoHub.

Explore analytical tools

Register remote file

Paste a URL of cloud optimized file either COG or PMTiles from a remote data source. Currently, GeoHub supports:

  • Cloud Optimized GeoTiff (COG): Raster dataset
  • PMTiles: Vector Tiles dataset

A remote URL must be a public data source.

PMTiles must be pbf format and includes vector_layers and tilestats properties in metadata since GeoHub requires statistics to generate GUI. Raster format in PMTiles is not supported.