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ESA WorldCereal 10 m v100
Die WorldCereal 10 m 2021-Produktsuite der European Space Agency (ESA) umfasst globale jährliche und saisonale Getreidekarten und die zugehörigen Zuverlässigkeitsinformationen. Sie wurden im Rahmen des ESA-WorldCereal-Projekts generiert. Weitere Informationen zum Inhalt dieser Produkte und zur … landwirtschaft copernicus kulturpflanzen esa global landbedeckung -
ESA WorldCereal Active Cropland 10 m v100
Die Produktsuite „WorldCereal Active Cropland 10 m 2021“ der European Space Agency (ESA) enthält Markierungen für saisonal genutzte Ackerflächen auf globaler Ebene. Sie wurden im Rahmen des ESA-WorldCereal-Projekts generiert. Die Produkte für aktive Ackerflächen geben an, ob ein Pixel, das als vorübergehende Kulturen gekennzeichnet ist, aktiv … landwirtschaft copernicus kulturpflanzen esa global landbedeckung -
ESA WorldCover 10m v100
Das WorldCover 10 m 2020-Produkt der Europäischen Weltraumorganisation (ESA) bietet eine globale Bodenbedeckungskarte für 2020 mit einer Auflösung von 10 m, die auf Sentinel-1- und Sentinel-2-Daten basiert. Das WorldCover-Produkt umfasst 11 Landnutzungsklassen und wurde im Rahmen des … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
ESA WorldCover 10m v200
Das WorldCover 10 m 2021-Produkt der Europäischen Weltraumorganisation (ESA) bietet eine globale Bodenbedeckungskarte für 2021 mit einer Auflösung von 10 m, die auf Sentinel-1- und Sentinel-2-Daten basiert. Das WorldCover-Produkt umfasst 11 Landnutzungsklassen und wurde im Rahmen des … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
EUCROPMAP
Karte der europäischen Kulturarten basierend auf In-situ-Beobachtungen von Sentinel-1 und LUCAS Copernicus 2018 für 2018 und eine Karte basierend auf Sentinel-2 und LUCAS Copernicus 2022 für 2022. Der Datensatz von 2018 ist die erste kontinentale Karte der Anbaukulturen, die auf der einzigartigen In-situ-Erhebung von LUCAS 2018 basiert. … agriculture crop eu jrc lucas sentinel1-derived -
Satelliten-Embedding V1
Der Google Satellite Embedding-Dataset ist eine globale, analysebereite Sammlung von gelernten raumbezogenen Einbettungen. Jedes 10-Meter-Pixel in diesem Datensatz ist eine 64-dimensionale Darstellung oder ein „Embedding-Vektor“, der die zeitlichen Pfade der Oberflächenbedingungen an und um dieses Pixel herum codiert, wie sie von verschiedenen Erdbeobachtungssatelliten gemessen wurden. jährlich global Google Landsat-abgeleitet Satellitenbilder Sentinel-1-abgeleitet -
Fußabdruck von Siedlungen weltweit 2015
Der World Settlement Footprint (WSF) 2015 ist eine binäre Maske mit einer Auflösung von 10 m, die die Ausdehnung menschlicher Siedlungen weltweit darstellt. Sie wurde anhand von mehrjährigen Landsat-8- und Sentinel-1-Bildern aus den Jahren 2014 und 2015 erstellt, von denen jeweils etwa 217.000 und 107.000 Szenen verarbeitet wurden. Die zeitliche Dynamik menschlicher Siedlungen … 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) |"]]