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GHSL: Global building height 2018 (P2023A)
Ten przestrzenny raster danych przedstawia globalny rozkład wysokości budynków w rozdzielczości 100 m w 2018 r. Dane wejściowe używane do przewidywania wysokości budynków to globalny model powierzchni ALOS (30 m), misja topograficzna NASA Shuttle Radar … alos building built built-environment builtup copernicus -
GHSL: Global settlement characteristics (10 m) 2018 (P2023A)
Ten zbiór danych rastrowych przestrzennych przedstawia podział na osiedla ludzkie o rozdzielczości 10 m i charakteryzuje ich cechy wewnętrzne pod kątem komponentów funkcjonalnych i wysokościowych środowiska zabudowanego. Więcej informacji o produktach danych GHSL znajdziesz w raporcie GHSL Data Package 2023… budynek zbudowany zabudowany copernicus ghsl wysokość -
Open Buildings Temporal V1
Dane czasowe Open Buildings 2.5D zawierają informacje o obecności budynków, ich liczbie i wysokości w ramach efektywnej1 rozdzielczości przestrzennej 4 m (rastery są dostarczane z rozdzielczości 0, 5 m) w rocznym cyklu w latach 2016–2023. Jest ona tworzona na podstawie obrazów o niskiej rozdzielczości i dostępnych na licencji open source z … africa annual asia built-up height open-buildings
Datasets tagged height in Earth Engine
[null,null,[],[[["\u003cp\u003eThe Open Buildings 2.5D Temporal Dataset provides annual data (2016-2023) on building presence, counts, and heights across Africa and Asia at a 4m resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe GHSL Global settlement characteristics dataset (2018) offers a 10m resolution view of human settlements, detailing their functional and height-related built environment features.\u003c/p\u003e\n"],["\u003cp\u003eThe GHSL Global building height dataset (2018) maps global building heights at a 100m resolution, leveraging data from ALOS and SRTM missions.\u003c/p\u003e\n"]]],["The Open Buildings Temporal Dataset offers annual data from 2016-2023 on building presence, counts, and heights at a 4m resolution, derived from low-resolution imagery. The GHSL dataset provides 10m resolution data on human settlements, detailing built environment characteristics and heights. Another GHSL dataset maps global building heights at 100m resolution for 2018, using data from sources like the ALOS Global Digital Surface Model.\n"],null,["# Datasets tagged height 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 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) |\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Open Buildings Temporal V1](/earth-engine/datasets/catalog/GOOGLE_Research_open-buildings-temporal_v1) |\n | The Open Buildings 2.5D Temporal Dataset contains data about building presence, fractional building counts, and building heights at an effective1 spatial resolution of 4m (rasters are provided at 0.5m resolution) at an annual cadence from 2016-2023. It is produced from open-source, low-resolution imagery from the ... |\n | [africa](/earth-engine/datasets/tags/africa) [annual](/earth-engine/datasets/tags/annual) [asia](/earth-engine/datasets/tags/asia) [built-up](/earth-engine/datasets/tags/built-up) [height](/earth-engine/datasets/tags/height) [open-buildings](/earth-engine/datasets/tags/open-buildings) |"]]