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GHSL: Global building height 2018 (P2023A)
Dieser räumliche Rasterdatensatz zeigt die globale Verteilung der Gebäudehöhen mit einer Auflösung von 100 m für das Jahr 2018. Die Eingabedaten zur Vorhersage der Gebäudehöhen sind das ALOS Global Digital Surface Model (30 m), die NASA Shuttle Radar Topographic Mission … alos building built built-environment builtup copernicus -
GHSL: Globale bebaute Fläche 10 m (P2023A)
Dieser Rasterdatensatz zeigt die Verteilung bebauter Flächen in Quadratmetern pro 10-m-Rasterzelle für 2018, wie sie aus den S2-Bilddaten hervorgeht. Die Datensätze messen: a) die bebaute Fläche insgesamt und b) die bebaute Fläche, die Rasterzellen mit einer … built built-environment builtup copernicus ghsl jrc -
GHSL: Global bebaute Fläche 1975–2030 (P2023A)
Dieser Rasterdatensatz stellt die Verteilung bebauter Flächen in Quadratmetern pro 100-m-Rasterzelle dar. Der Datensatz misst: a) die bebaute Fläche insgesamt und b) die bebaute Fläche, die Rasterzellen mit überwiegend nicht-wohnlicher Nutzung (NRES) zugewiesen ist. Die Daten werden räumlich und zeitlich interpoliert oder… built built-environment builtup copernicus ghsl jrc -
GHSL: Global settlement characteristics (10 m) 2018 (P2023A)
Dieser räumliche Rasterdatensatz zeigt menschliche Siedlungen mit einer Auflösung von 10 m und beschreibt ihre inneren Merkmale in Bezug auf die funktionalen und höhenbezogenen Komponenten der bebauten Umwelt. Weitere Informationen zu den GHSL-Datenprodukten finden Sie im Bericht „GHSL Data Package 2023“ (GHSL-Datenpaket 2023). building built builtup copernicus ghsl height
Datasets tagged builtup in Earth Engine
[null,null,[],[[["\u003cp\u003eThe Global Human Settlement Layer (GHSL) datasets provide information on global human settlements, including building heights, built-up surfaces, and settlement characteristics.\u003c/p\u003e\n"],["\u003cp\u003eThese datasets offer various resolutions (10m, 100m) and temporal coverage (including historical and projected data).\u003c/p\u003e\n"],["\u003cp\u003eBuilt-up surface data measures total built-up area and the proportion allocated to residential and non-residential uses.\u003c/p\u003e\n"],["\u003cp\u003eBuilding height data is derived from ALOS and SRTM elevation data and is available at 100m resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe GHSL datasets are part of the Copernicus program and are valuable for urban planning, environmental monitoring, and disaster risk assessment.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged builtup 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 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) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### GHSL: Global settlement characteristics (10 m) 2018 (P2023A)](/earth-engine/datasets/catalog/JRC_GHSL_P2023A_GHS_BUILT_C) |\n | 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 ... |\n | [building](/earth-engine/datasets/tags/building) [built](/earth-engine/datasets/tags/built) [builtup](/earth-engine/datasets/tags/builtup) [copernicus](/earth-engine/datasets/tags/copernicus) [ghsl](/earth-engine/datasets/tags/ghsl) [height](/earth-engine/datasets/tags/height) |"]]