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GHSL: 2018년 전 세계 건물 높이 (P2023A)
이 공간 래스터 데이터 세트는 2018년을 기준으로 100m 해상도로 건물 높이의 전 세계 분포를 보여줍니다. 건물 높이를 예측하는 데 사용되는 입력 데이터는 ALOS 글로벌 디지털 표면 모델 (30m), NASA 셔틀 레이더 지형지물 매핑 … alos 건물 건축됨 건축 환경 건물 코페르니쿠스 -
GHSL: 전 세계 인공 표면 10m (P2023A)
이 래스터 데이터 세트는 S2 이미지 데이터에서 관찰된 2018년의 10m 그리드 셀당 평방미터로 표시된 인공 표면의 분포를 보여줍니다. 데이터 세트는 a) 총 건물 면적, b) 격자 셀에 할당된 건물 면적을 측정합니다. built built-environment builtup copernicus ghsl jrc -
GHSL: 전 세계 1975~2030년 인공 표면 (P2023A)
이 래스터 데이터 세트는 100m 그리드 셀당 평방미터로 표시된 인공 표면의 분포를 보여줍니다. 이 데이터 세트는 a) 총 건축물 면적과 b) 주로 비주거용 (NRES) 용도의 그리드 셀에 할당된 건축물 면적을 측정합니다. 데이터가 공간적으로 보간되거나 … built built-environment builtup copernicus ghsl jrc -
GHSL: 전 세계 결제 특성 (10m) 2018 (P2023A)
이 공간 래스터 데이터 세트는 10m 해상도로 인구 거주 지역을 표시하고, 인공 환경의 기능 및 높이 관련 구성요소 측면에서 내부 특성을 설명합니다. GHSL 데이터 제품에 대한 자세한 내용은 GHSL 데이터 패키지 2023 보고서에서 확인할 수 있습니다. 건물 건축됨 건물 코페르니쿠스 ghsl 높이
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) |"]]