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World Settlement Footprint 2015
The World Settlement Footprint (WSF) 2015 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which ~217,000 and ~107,000 scenes have been processed, respectively). The temporal dynamics of human settlements … landcover landsat-derived sentinel1-derived settlement urban -
GHSL: Global settlement characteristics (10 m) 2018 (P2023A)
This spatial raster dataset delineates human settlements at 10 m resolution, and describes their inner characteristics in terms of the functional and height-related components of the built environment. More information about the GHSL data products can be found in the GHSL Data Package 2023 report … building built builtup copernicus ghsl height -
GHSL: Global built-up surface 1975-2030 (P2023A)
This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 100 m grid cell. The dataset measures: a) the total built-up surface, and b) the built-up surface allocated to grid cells of predominant non-residential (NRES) use. Data are spatially-temporally interpolated or … built built-environment builtup copernicus ghsl jrc -
GHSL: Global built-up surface 10m (P2023A)
This raster dataset depicts the distribution of built-up surfaces, expressed in square metres per 10 m grid cell, for 2018 as observed from the S2 image data. The datasets measure: a) the total built-up surface, and b) the built-up surface allocated to grid cells of … built built-environment builtup copernicus ghsl jrc -
GHSL: Degree of Urbanization 1975-2030 V2-0 (P2023A)
This raster dataset represents a global, multitemporal rural-urban classification, applying the "Degree of Urbanisation" stage I methodology recommended by UN Statistical Commission, based on global gridded population and built-up surface data generated by the GHSL project for the epochs 1975-2030 in 5-year intervals. The Degree … ghsl jrc sdg settlement
[null,null,[],[[["The World Settlement Footprint 2015 provides a global, 10m resolution dataset identifying human settlements using Landsat-8 and Sentinel-1 imagery from 2014-2015."],["The GHSL datasets offer insights into global settlement characteristics, including built-up area, building height, and functional uses at 10m resolution."],["Built-up surface data from GHSL is available for various years between 1975 and 2030, including projections, and differentiates between total and non-residential areas."],["GHSL's Degree of Urbanization dataset provides a global, multitemporal rural-urban classification based on population and built-up surface data for 1975-2030."]]],[]]