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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 cyfrowy model powierzchni ALOS (30 m), misja radarowa NASA … alos building built built-environment builtup copernicus -
GHSL: Globalna zabudowana powierzchnia 10 m (P2023A)
Ten zbiór danych rastrowych przedstawia rozkład powierzchni zabudowanych wyrażony w metrach kwadratowych na komórkę siatki 10 m w roku 2018, jak wynika z danych z obrazu S2. Zbiory danych mierzą: a) łączną zabudowaną powierzchnię oraz b) zabudowaną powierzchnię przypisaną do komórek siatki o rozmiary … built built-environment builtup copernicus ghsl jrc -
GHSL: Global built-up surface 1975-2030 (P2023A)
Ten zbiór danych rastrowych przedstawia rozkład powierzchni zabudowanej wyrażonej w metrach kwadratowych na komórkę siatki o wymiarach 100 m2. Zbiór danych mierzy: a) łączną zabudowaną powierzchnię oraz b) zabudowaną powierzchnię przypisaną do komórek siatki o przeznaczeniu innym niż mieszkalne. Dane są interpolowane czasowo-przestrzennie lub … built built-environment builtup copernicus ghsl jrc -
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
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) |"]]