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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 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 -
Open Buildings Temporal V1
Open Buildings 2.5D 시계열 데이터 세트는 2016~2023년의 연간 주기로 유효한1 공간 해상도 4m (래스터는 0.5m 해상도로 제공됨)에서 건물 존재, 비율적 건물 수, 건물 높이에 관한 데이터를 포함합니다. 이 지도의 데이터는 … 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) |"]]