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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: Globalny wolumen budynków w latach 1975–2030 (P2023A)
Ten zbiór danych rastrowych przedstawia globalny rozkład objętości budynków wyrażonej w metrach sześciennych na komórkę siatki o wymiarach 100 m. Zestaw danych mierzy łączną objętość budynku oraz objętość budynku przypisaną do komórek siatki o przeważającym przeznaczeniu niemieszkalnym (NRES). Prognozy są obliczane na podstawie skumulowanych … alos building built-environment copernicus dem ghsl -
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
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) |"]]