This dataset contains the Global Degree of Urbanisation Classification of administrative units delineated by the Global ADMinistrative layer version 3.6 (GADM36) according to the application of stage II of the Degree of Urbanisation. The classification is base...

The layers present the application of the Degree of Urbanisation stage I methodology recommended by UN Statistical Commission to the global population grid generated by the JRC in the epochs 1975-2030 (5 years timestep). They have been generated by integration...

The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates between 1975 and 2020 in 5 years intervals and projections to 2025 and 2030 derived from CIESIN GPWv4.11 were disagg...

The spatial raster dataset depicts the distribution of the built-up (BU) surfaces estimates between 1975 and 2030 in 5 years intervals and two functional use components a) the total BU surface and b) the non-residential (NRES) BU surface. The data is made by s...

The spatial raster dataset depicts the distribution of the built-up (BU) volume estimates between 1975 and 2030 in 5 years intervals and two functional use components a) the total BU volume and b) the non-residential (NRES) BU volume. The data is made by proje...

The spatial raster dataset delineates the land fraction as derived from the Sentinel2 image data composite (2018) and OSM data

The spatial raster dataset depicts the spatial distribution of the building heights as extracted from the filtering of a composite of global digital elevation models (DEM) and the filtering of satellite imagery using linear regression techniques. The used inpu...

The spatial raster dataset delineates the boundaries of the human settlements at 10m resolution, and describe their inner characteristics in terms of the morphology of the built environment and the functional use.

This product contains the summary statistics of GHS-BUILT-S multi-temporal (1975-2020) at Local Administrative Unit Level 2 (LAU2) from the 2020 layer provided by GISCO. For each LAU2 the table contains the sum of built-up surface (GHS-BUILT-S R2022) between ...

Intermediate data used to support the R2022A production and QC release. This product include the Landsat image quantity for the multitemporal GHS-BUILT R2022 production; the Landsat multitemporal confidence layer for the multitemporal GHS-BUILT R2022 producti...

The spatial dataset delineates the boundaries of Functional Urban Areas (FUA) of Urban Centres in 2015. The automatic classification procedure developed in collaboration with the OECD estimates for each 1 sq km populated cells outside Urban Centres (obtained f...

The Global Human Settlement Layer (GHSL) produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. The Joint Research Centre (JRC) and the Directorate General for Regional Development (DG REGI...

The European Settlement Map data is a spatial raster dataset that is mapping human settlements in Europe based on Copernicus Very High Resolution optical coverage for reference year 2015 (VHR_IMAGE_2015). It follows-up on the previous ESM_2012 derived from 2.5...

This dataset contains the Global Degree of Urbanisation Classification of adminstrative units delineated by the Global ADMinistrative layer version 3.6 (GADM36) according to the application stage 2 of the Degree of Urbanisation. The classification is based on ...

This dataset corresponds to global map of built-up areas expressed in terms of a probability grid at 10 m spatial resolution derived from a Sentinel-2 global image composite (GHS_composite_S2_L1C_2017-2018_GLOBE_R2020A_UTM_10_v1_0) for reference year 2018. It ...

The spatial raster dataset depicts the distribution of population, expressed as the number of people per cell. Residential population estimates for target years 1975, 1990, 2000 and 2015 provided by CIESIN GPWv4.10 were disaggregated from census or administrat...

The layers present a refinement of the REGIO degree of urbanization model using as applied to the global population grid generated by the JRC in four epochs (1975, 1990, 2000, 2015). They have been generated by integration of built-up areas extracted from Land...

Multi-temporal information layers on footprint and metadata of Landsat scenes used in the production of GHS BUILT grid R2018A. The scenes are organised in imge data collections, and were prepared by the Global Land Survey (GLS1975, GLS1990, GLS2000) and by th...

The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint Research Center and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describ...