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GHSL: hauteur des bâtiments dans le monde en 2018 (P2023A)
Cet ensemble de données raster spatial représente la répartition mondiale des hauteurs de bâtiments avec une résolution de 100 m, pour l'année 2018. Les données d'entrée utilisées pour prédire la hauteur des bâtiments sont le modèle de surface numérique global ALOS (30 m), la mission topographique Shuttle Radar de la NASA, etc. alos building built built-environment builtup copernicus -
GHSL: Volume mondial de construction 1975-2030 (P2023A)
Ce jeu de données raster représente la distribution mondiale du volume des bâtiments, exprimé en mètres cubes par cellule de grille de 100 m. Le jeu de données mesure le volume total des bâtiments et le volume des bâtiments alloué aux cellules de grille à usage non résidentiel prédominant. Les estimations sont basées sur les données cumulées … alos building built-environment copernicus dem ghsl -
GHSL: surface bâtie mondiale 10 m (P2023A)
Cet ensemble de données raster représente la distribution des surfaces urbanisées, exprimée en mètres carrés par cellule de grille de 10 m, pour l'année 2018, telle qu'elle ressort des données d'image S2. Les ensembles de données mesurent: a) la surface bâtie totale et b) la surface bâtie allouée aux cellules de grille de … built built-environment builtup copernicus ghsl jrc -
GHSL: surface bâtie mondiale 1975-2030 (P2023A)
Ce jeu de données raster représente la distribution des surfaces urbanisées, exprimée en mètres carrés par cellule de grille de 100 m. Le jeu de données mesure: a) la surface bâtie totale et b) la surface bâtie allouée aux cellules de grille à usage non résidentiel (NRES) prédominant. Les données sont interpolées spatialement et temporellement ou… built built-environment builtup copernicus ghsl jrc
Datasets tagged built-environment in Earth Engine
[null,null,[],[[["\u003cp\u003eThe GHSL datasets provide global information on building height, built-up surface, and building volume.\u003c/p\u003e\n"],["\u003cp\u003eBuilding height data is available at 100m resolution and is based on ALOS and SRTM elevation models.\u003c/p\u003e\n"],["\u003cp\u003eBuilt-up surface data is available at both 100m and 10m resolutions and covers the period from 1975 to 2030 (with projections).\u003c/p\u003e\n"],["\u003cp\u003eBuilding volume data is available at 100m resolution and provides estimates for total and non-residential use.\u003c/p\u003e\n"],["\u003cp\u003eThe datasets are based on various sources including satellite imagery, elevation models, and population data.\u003c/p\u003e\n"]]],["The content describes four spatial raster datasets from the Global Human Settlement Layer (GHSL). One dataset maps global building heights in 2018 at 100m resolution. Two datasets map built-up surfaces: one at 100m resolution from 1975-2030, and another at 10m resolution for 2018. These built up surfaces also differentiate between residential and non-residential. The final dataset details the global building volume from 1975-2030, measured in cubic meters per 100m grid cell.\n"],null,["# Datasets tagged built-environment in Earth Engine\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global building height 2018 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_H) |\n | This spatial raster dataset depicts the global distribution of building heights at a resolution of 100 m, referred to the year 2018. The input data used to predict building heights are the ALOS Global Digital Surface Model (30 m), the NASA Shuttle Radar Topographic Mission ... |\n | [alos](/earth-engine/datasets/tags/alos) [building](/earth-engine/datasets/tags/building) [built](/earth-engine/datasets/tags/built) [built-environment](/earth-engine/datasets/tags/built-environment) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) |\n\n-\n\n |----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global building volume 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_V) |\n | This raster dataset depicts the global distribution of building volume, expressed in cubic metres per 100 m grid cell. The dataset measures the total building volume and the building volume allocated to grid cells of predominant non-residential (NRES) use. Estimates are based on the built-up ... |\n | [alos](/earth-engine/datasets/tags/alos) [building](/earth-engine/datasets/tags/building) [built-environment](/earth-engine/datasets/tags/built-environment) [copernicus](/earth-engine/datasets/tags/copernicus) [dem](/earth-engine/datasets/tags/dem) [ghsl](/earth-engine/datasets/tags/ghsl) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global built-up surface 10m (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S_10m) |\n | 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 ... |\n | [built](/earth-engine/datasets/tags/built) [built-environment](/earth-engine/datasets/tags/built-environment) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) [ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) |\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global built-up surface 1975-2030 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_S) |\n | 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 ... |\n | [built](/earth-engine/datasets/tags/built) [built-environment](/earth-engine/datasets/tags/built-environment) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) [ghsl](/earth-engine/datasets/tags/ghsl) [jrc](/earth-engine/datasets/tags/jrc) |"]]