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GHSL: Global settlement characteristics (10 m) 2018 (P2023A)
Ce jeu de données raster spatial délimite les établissements humains à une résolution de 10 m et décrit leurs caractéristiques internes en termes de composants fonctionnels et liés à la hauteur de l'environnement bâti. Pour en savoir plus sur les produits de données GHSL, consultez le rapport "GHSL Data Package 2023" (Paquet de données GHSL 2023)… building built builtup copernicus ghsl height -
TIGER: routes du recensement des États-Unis
Cet ensemble de données TIGER du Bureau du recensement des États-Unis contient tous les segments routiers de la version 2016, avec plus de 19 millions d'éléments de ligne individuels couvrant les États-Unis, le District de Columbia, Porto Rico et les régions insulaires. Chaque élément représente une géométrie de segment de route (un … 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) |"]]