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GHSL: グローバル決済の特性(10 m)2018(P2023A)
この空間ラスター データセットは、人間の居住地を 10 m の解像度で描画し、建造環境の機能と高さに関連するコンポーネントの観点からその内部特性を記述します。GHSL データ プロダクトの詳細については、GHSL データ パッケージ 2023 レポートをご覧ください。 building built builtup copernicus ghsl height -
TIGER: 米国国勢調査道路
この米国国勢調査局 TIGER データセットには、2016 年リリースのすべての道路セグメントが含まれています。米国、コロンビア特別区、プエルトリコ、島嶼地域を網羅する 1,900 万を超える個別のライン対象物が含まれています。各特徴は道路セグメントのジオメトリ(… census infrastructure-boundaries roads table tiger us
Datasets tagged roads in Earth Engine
[null,null,[],[[["\u003cp\u003eThe Global Human Settlement Layer (GHSL) dataset provides a 10-meter resolution view of human settlements, including building heights and functional characteristics.\u003c/p\u003e\n"],["\u003cp\u003eThe TIGER/Line dataset from the US Census Bureau offers a comprehensive inventory of over 19 million road segments across the United States, District of Columbia, Puerto Rico, and Island Areas.\u003c/p\u003e\n"]]],["The content describes two spatial datasets. The first, GHSL, delineates human settlements at 10m resolution, detailing functional and height-related aspects of the built environment. The second, TIGER, from the US Census Bureau, contains over 19 million road segments from the 2016 release, covering the US, District of Columbia, Puerto Rico, and Island Areas, each represented by a road segment geometry.\n"],null,["# Datasets tagged roads in Earth Engine\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 | [### TIGER: US Census Roads](/earth-engine/datasets/catalog/TIGER_2016_Roads) |\n | This United States Census Bureau TIGER dataset contains all road segments from the 2016 release, containing more than 19 million individual line features covering the United States, the District of Columbia, Puerto Rico, and the Island Areas. Each feature represents a road segment geometry (a ... |\n | [census](/earth-engine/datasets/tags/census) [infrastructure-boundaries](/earth-engine/datasets/tags/infrastructure-boundaries) [roads](/earth-engine/datasets/tags/roads) [table](/earth-engine/datasets/tags/table) [tiger](/earth-engine/datasets/tags/tiger) [us](/earth-engine/datasets/tags/us) |"]]