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ESA WorldCereal 10 m v100
La suite de produits WorldCereal 10 m 2021 de l'Agence spatiale européenne (ESA) comprend des cartes de cultures annuelles et saisonnières à l'échelle mondiale, ainsi que leur niveau de confiance associé. Ils ont été générés dans le cadre du projet ESA-WorldCereal. Plus d'informations sur le contenu de ces produits et la méthodologie utilisée pour … agriculture copernicus culture esa mondial couverture du sol -
ESA WorldCereal Active Cropland 10 m v100
La suite de produits WorldCereal Active Cropland 10 m 2021 de l'Agence spatiale européenne (ESA) contient des repères de cultures actives saisonnières à l'échelle mondiale. Ils ont été générés dans le cadre du projet ESA-WorldCereal. Les produits de terres agricoles actives indiquent si un pixel identifié comme étant des cultures temporaires a été activement cultivé ou non. agriculture copernicus culture esa mondial couverture du sol -
ESA WorldCover 10 m v100
Le produit WorldCover 10 m 2020 de l'Agence spatiale européenne (ESA) fournit une carte mondiale de la couverture terrestre pour l'année 2020, avec une résolution de 10 m, basée sur les données Sentinel-1 et Sentinel-2. Le produit WorldCover comprend 11 classes de couverture terrestre et a été généré dans le cadre de … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
ESA WorldCover 10 m v200
Le produit WorldCover 10 m 2021 de l'Agence spatiale européenne (ESA) fournit une carte mondiale de la couverture terrestre pour 2021, avec une résolution de 10 m, basée sur les données Sentinel-1 et Sentinel-2. Le produit WorldCover comprend 11 classes de couverture terrestre et a été généré dans le cadre de … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
EUCROPMAP
Carte européenne des types de cultures basée sur les observations in situ de Sentinel-1 et de LUCAS Copernicus 2018 pour 2018, et une autre basée sur les observations in situ de Sentinel-2 et de LUCAS Copernicus 2022 pour 2022. S'appuyant sur l'enquête in situ unique de Copernicus LUCAS 2018, le jeu de données de 2018 est la première carte continentale des types de cultures. agriculture culture ue jrc lucas dérivé de Sentinel-1 -
Intégration par satellite V1
L'ensemble de données Google Satellite Embedding est une collection mondiale d'embeddings géospatiaux appris, prêts à l'analyse. Chaque pixel de 10 mètres de cet ensemble de données est une représentation à 64 dimensions, ou "vecteur d'encapsulation", qui encode les trajectoires temporelles des conditions de surface à ce pixel et autour de celui-ci, telles que mesurées par diverses observations de la Terre. annuelles mondiales Google issues de Landsat images satellites issues de Sentinel-1 -
Empreinte mondiale des établissements humains 2015
L'empreinte urbaine mondiale (EUM) 2015 est un masque binaire de résolution de 10 m qui délimite l'étendue des établissements humains à l'échelle mondiale, dérivé à partir d'images Landsat-8 et Sentinel-1 multitemporelles de 2014 à 2015 (environ 217 000 et 107 000 scènes ont été traitées, respectivement). La dynamique temporelle des établissements humains … landcover landsat-derived population sentinel1-derived settlement urban
Datasets tagged sentinel1-derived in Earth Engine
[null,null,[],[[["\u003cp\u003eThe datasets provided offer various land cover and land use information at a 10m resolution.\u003c/p\u003e\n"],["\u003cp\u003eThey utilize satellite imagery from sources like Landsat-8, Sentinel-1, and Sentinel-2.\u003c/p\u003e\n"],["\u003cp\u003eData focuses on aspects such as human settlements, cropland, and global land cover classification.\u003c/p\u003e\n"],["\u003cp\u003eThe European Space Agency (ESA) and the Joint Research Centre (JRC) are key data providers.\u003c/p\u003e\n"],["\u003cp\u003eThese datasets are valuable for research and analysis related to agriculture, urban development, and environmental monitoring.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged sentinel1-derived in Earth Engine\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### ESA WorldCereal 10 m v100](/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MODELS_v100) |\n | The European Space Agency (ESA) WorldCereal 10 m 2021 product suite consists of global-scale annual and seasonal crop maps and their related confidence. They were generated as part of the ESA-WorldCereal project. More information on the content of these products and the methodology used to ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [copernicus](/earth-engine/datasets/tags/copernicus) [crop](/earth-engine/datasets/tags/crop) [esa](/earth-engine/datasets/tags/esa) [global](/earth-engine/datasets/tags/global) [landcover](/earth-engine/datasets/tags/landcover) |\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### ESA WorldCereal Active Cropland 10 m v100](/earth-engine/datasets/catalog/ESA_WorldCereal_2021_MARKERS_v100) |\n | The European Space Agency (ESA) WorldCereal Active Cropland 10 m 2021 product suite contains global-scale seasonal active cropland markers. They were generated as part of the ESA-WorldCereal project. The active cropland products indicate whether or not a pixel identified as temporary crops has been actively ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [copernicus](/earth-engine/datasets/tags/copernicus) [crop](/earth-engine/datasets/tags/crop) [esa](/earth-engine/datasets/tags/esa) [global](/earth-engine/datasets/tags/global) [landcover](/earth-engine/datasets/tags/landcover) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### ESA WorldCover 10m v100](/earth-engine/datasets/catalog/ESA_WorldCover_v100) |\n | The European Space Agency (ESA) WorldCover 10 m 2020 product provides a global land cover map for 2020 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of ... |\n | [esa](/earth-engine/datasets/tags/esa) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) [sentinel2-derived](/earth-engine/datasets/tags/sentinel2-derived) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### ESA WorldCover 10m v200](/earth-engine/datasets/catalog/ESA_WorldCover_v200) |\n | The European Space Agency (ESA) WorldCover 10 m 2021 product provides a global land cover map for 2021 at 10 m resolution based on Sentinel-1 and Sentinel-2 data. The WorldCover product comes with 11 land cover classes and has been generated in the framework of ... |\n | [esa](/earth-engine/datasets/tags/esa) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) [sentinel2-derived](/earth-engine/datasets/tags/sentinel2-derived) |\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### EUCROPMAP](/earth-engine/datasets/catalog/JRC_D5_EUCROPMAP_V1) |\n | European crop type map based on Sentinel-1 and LUCAS Copernicus 2018 in-situ observations for 2018; and one based on Sentinel-2 and LUCAS Copernicus 2022 for 2022. Capitalizing on the unique LUCAS 2018 Copernicus in-situ survey, the 2018 dataset is the first continental crop type map ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [crop](/earth-engine/datasets/tags/crop) [eu](/earth-engine/datasets/tags/eu) [jrc](/earth-engine/datasets/tags/jrc) [lucas](/earth-engine/datasets/tags/lucas) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Satellite Embedding V1](/earth-engine/datasets/catalog/GOOGLE_SATELLITE_EMBEDDING_V1_ANNUAL) |\n | The Google Satellite Embedding dataset is a global, analysis-ready collection of learned geospatial embeddings. Each 10-meter pixel in this dataset is a 64-dimensional representation, or \"embedding vector,\" that encodes temporal trajectories of surface conditions at and around that pixel as measured by various Earth observation ... |\n | [annual](/earth-engine/datasets/tags/annual) [global](/earth-engine/datasets/tags/global) [google](/earth-engine/datasets/tags/google) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [satellite-imagery](/earth-engine/datasets/tags/satellite-imagery) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### World Settlement Footprint 2015](/earth-engine/datasets/catalog/DLR_WSF_WSF2015_v1) |\n | The World Settlement Footprint (WSF) 2015 is a 10m resolution binary mask outlining the extent of human settlements globally derived by means of 2014-2015 multitemporal Landsat-8 and Sentinel-1 imagery (of which \\~217,000 and \\~107,000 scenes have been processed, respectively). The temporal dynamics of human settlements ... |\n | [landcover](/earth-engine/datasets/tags/landcover) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [population](/earth-engine/datasets/tags/population) [sentinel1-derived](/earth-engine/datasets/tags/sentinel1-derived) [settlement](/earth-engine/datasets/tags/settlement) [urban](/earth-engine/datasets/tags/urban) |"]]