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GHS-BUILT-C R2022A - GHS Settlement Characteristics, derived from Sentinel2 composite (2018) and other GHS R2022A data - OBSOLETE RELEASE
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...
ZIP
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GHS-BUILT-H R2022A - GHS building height, derived from AW3D30, SRTM30, and Sentinel2 composite (2018) - OBSOLETE RELEASE
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...
ZIP
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GHS-BUILT-V R2023A - GHS built-up volume grids derived from joint assessment of Sentinel2, Landsat, and global DEM data, multitemporal (1975-2030)
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...
TIFF
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GHS-BUILT-H R2023A - GHS building height, derived from AW3D30, SRTM30, and Sentinel2 composite (2018)
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...
TIFF
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GHS-BUILT-V R2022A - GHS built-up volume grids derived from joint assessment of Sentinel2, Landsat, and global DEM data, for 1975-2030 (5yrs interval) - OBSOLETE RELEASE
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...
ZIP
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GHS-BUILT-C R2023A - GHS Settlement Characteristics, derived from Sentinel2 composite (2018) and other GHS R2023A data
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...
TIFF
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GHS-DUC R2022A - GHS Degree of Urbanisation Classification, application of the Degree of Urbanisation methodology (stage II) to GADM 3.6 layer, multitemporal (1975-2030) - OBSOLETE RELEASE
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...
ZIP
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GHS-DUC R2023A - GHS Degree of Urbanisation Classification, application of the Degree of Urbanisation methodology (stage II) to GADM 4.1 layer, multitemporal (1975-2030)
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...
Excel XLSX
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GHS-POP R2022A - GHS population grid multitemporal (1975-2030) - OBSOLETE RELEASE
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...
ZIP
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GHS-BUILT-S R2022A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030) - OBSOLETE RELEASE
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...
ZIP
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GHS-BUILT-LAUSTAT R2023A - GHS built-up surface statistics in European LAU, multitemporal (1975-2020)
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 the...
Excel XLSX
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GHS-SMOD R2023A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2023A and GHS-BUILT-S R2023A, multitemporal (1975-2030)
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...
TIFF
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GHS-BUILT-S R2023A - GHS built-up surface grid, derived from Sentinel2 composite and Landsat, multitemporal (1975-2030)
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...
TIFF
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GHS-BUILT-LAU2STAT R2022A - GHS built-up surface statistics in European LAU2, multitemporal (1975-2020) - OBSOLETE RELEASE
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...
ZIP
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GHS-SDATA R2023A - GHS supporting data
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 UN World...
TIFF Esri Shape
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GHS-SMOD R2022A - GHS settlement layers, application of the Degree of Urbanisation methodology (stage I) to GHS-POP R2022A and GHS-BUILT-S R2022A, multitemporal (1975-2030) - OBSOLETE RELEASE
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...
ZIP
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GHS-SDATA R2022A - GHS release R2022A supporting data - OBSOLETE RELEASE
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...
ZIP
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GHS-POP R2023A - GHS population grid multitemporal (1975-2030)
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...
TIFF
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ESM R2020 - European Settlement Map from Copernicus Very High Resolution data for reference year 2018
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 reference...
TIFF
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GHS-SMOD R2016A - GHS settlement grid, following the REGIO model 2014 in application to GHSL Landsat and CIESIN GPW v4-multitemporal (1975-1990-2000-2015) - OBSOLETE RELEASE
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...
TIFF (762 начини на показване) (649 Изтегляния)