The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint Research Centre and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. The GHSL relies on the design and implementation of new spatial data mining technologies allowing to process automatically and extract analytics and knowledge from large amount of heterogeneous data including: global, fine-scale satellite image data streams, census data, and crowd sources or volunteering geographic information sources. Spatial data reporting objectively and systematically about the presence of population and built-up infrastructures are necessary for any evidence-based modelling or assessing of i) human and physical exposure to threats as environmental contamination and degradation, natural disasters and conflicts, ii) impact of human activities on ecosystems, and iii) access to resources. The project produces thematic information and evidence-based analytical knowledge supporting the implementation of EU regional urban policy and the 4 international post-2015 frameworks, namely: Sustainable Development Goals, Global Urban Agenda, Climate Change and the Sendai Framework for Disaster Risk Reduction. Also, the project supports international scientific partnerships facilitating science-policy interface in the frame of the Group of Earth Observation (GI-21: Human Planet Initiative https://www.earthobservations.org/activity.php?id=51 ), and bi-lateral scientific collaborations with space agencies and scientific organizations of Brazil, China and South Africa.
Project home page: http://ghsl.jrc.ec.europa.eu/
SciHub page: https://ec.europa.eu/jrc/en/scientific-tool/global-human-settlement-layer?search
The collection consists in three main type of products: built-up (GHS-BUILT), population (GHS-POP) grids, and city model (GHS-SMOD). The datasets are published as raster files together with pyramids (i.e., TIF and OVR files).
GHS-AGE is a component of the Global Human Settlement Layer (GHSL). GHS-AGE consists of spatial raster datasets representing global, gridded estimates of the dominant age of the bu...
This dataset is part of GHSL-Arctic, the Arctic edition of the Global Human Settlement Layer. GHS-SMOD ARCTIC represents the application of the Degree of Urbanisation methodology e...
This dataset is part of GHSL-Arctic, the Arctic edition of the Global Human Settlement Layer. GHS-BUILT-S ARCTIC depicts the distribution of the built-up surface in the Arctic regi...
This dataset is part of GHSL-Arctic, the Arctic edition of the Global Human Settlement Layer. GHS-BUILT-H ARCTIC depicts the spatial distribution of building heights extracted from...
This dataset is part of GHSL-Arctic, the Arctic edition of the Global Human Settlement Layer. GHS-POP ARCTIC depicts the distribution of resident population in the Arctic region, e...
This dataset is part of GHSL-Arctic, the Arctic edition of the Global Human Settlement Layer. GHS-BUILT-V ARCTIC depicts the distribution of building volume between 1975 and 2030 i...
These geospatial vector datasets contain the centroids of segments of built-up grid cells derived from the GHS-BUILT-S Arctic Edition R2025A 1km gridded data. All adjacent grid cel...
This dataset contains statistics on urban centres based on data from the Global Human Settlement Layer (GHSL) produced at the Joint Research Centre of the European Commission, unit...
The dataset consists of a table, with building footprint features as rows and attributes as columns, split by country and administrative areas available in the Global ADMinistrativ...
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 an...
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 O...
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...
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 Res...
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 ap...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
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 int...
Intermediate data used to support the R2023A production ond QC release. This product include the Landsat image quantity for the multitemporal GHS-BUILT R2023 production; and the U...
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 ...
This product contains the summary statistics of GHS-BUILT-S multi-temporal (1975-2020) at Local Administrative Unit Level (LAU) from the 2020 layer provided by GISCO. For each LAU...
This dataset contains the Global Degree of Urbanisation Classification of administrative units delineated by the Global ADMinistrative layer version 4.1 (GADM41) according to the a...
This dataset contains the country level statistics based on the latest GHSL data produced at the European Commission Directorate General Joint Research Centre in the Directorate fo...
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_c...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
The spatial raster dataset delineates the land fraction as derived from the Sentinel2 image data composite (2018) and OSM data
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
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 en...
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 ...
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 tota...
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 ...
OBSOLETE RELEASE Get the latest release at https://ghsl.jrc.ec.europa.eu/download.php The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint R...
ESM_BUILT_VHR2018_Europe_R2020_3035_02 is a spatial raster dataset that is mapping human settlements in Europe, based on Copernicus Very High Resolution optical coverage for refere...
OBSOLETE RELEASE - The use of the GHSL Data Package 2022 (GHS P2022) is currently not recommended. CHECK FOR THE MOST UPDATED VERSION OF GHSL DATASETS AT https://ghsl.jrc.ec.europa...
GHS-composite-S2 R2020A corresponds to global cloud-free pixel based composite created from the Sentinel-2 data archive (Level L1C) available in Google Earth Engine for the period ...
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 yea...
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, an...
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...
Multi-temporal information layer on the presence of built-up surfaces derived from global Landsat satellite data collected from 1975 to 2014, at the native spatial resolution varyi...
Information layer on the presence of built-up surfaces derived from global Sentinel-1 Synthetic Aperture Radar (SAR) satellite data, collected during 2016. The native spatial resol...
OBSOLETE RELEASE Get the latest release at https://ghsl.jrc.ec.europa.eu/download.php The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint R...
OBSOLETE RELEASE Get the latest release at https://ghsl.jrc.ec.europa.eu/download.php The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint R...
OBSOLETE RELEASE Get the latest release at https://ghsl.jrc.ec.europa.eu/download.php The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint R...
OBSOLETE RELEASE Get the latest release at https://ghsl.jrc.ec.europa.eu/download.php The Global Human Settlement Layer (GHSL) project is supported by European Commission, Joint R...