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ESA WorldCereal 10 m v100
La suite di prodotti WorldCereal 10 m 2021 dell'Agenzia spaziale europea (ESA) è composta da mappe annuali e stagionali delle colture a livello globale e dalla relativa affidabilità. Sono stati generati nell'ambito del progetto ESA-WorldCereal. Maggiori informazioni sui contenuti di questi prodotti e sulla metodologia utilizzata per … agriculture copernicus crop esa global landcover -
ESA WorldCereal Active Cropland 10 m v100
La suite di prodotti WorldCereal Active Cropland 10 m 2021 dell'Agenzia spaziale europea (ESA) contiene indicatori di terreni agricoli attivi stagionali su scala globale. Sono stati generati nell'ambito del progetto ESA-WorldCereal. I prodotti relativi ai terreni agricoli attivi indicano se un pixel identificato come colture temporanee è stato … agriculture copernicus crop esa global landcover -
ESA WorldCover 10m v100
Il prodotto WorldCover 10 m 2020 dell'Agenzia spaziale europea (ESA) fornisce una mappa globale della copertura del suolo per il 2020 con una risoluzione di 10 metri basata sui dati di Sentinel-1 e Sentinel-2. Il prodotto WorldCover include 11 classi di copertura del suolo ed è stato generato nell'ambito di … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
ESA WorldCover 10m v200
Il prodotto WorldCover 10 m 2021 dell'Agenzia spaziale europea (ESA) fornisce una mappa globale della copertura del suolo per il 2021 con una risoluzione di 10 metri basata sui dati di Sentinel-1 e Sentinel-2. Il prodotto WorldCover include 11 classi di copertura del suolo ed è stato generato nell'ambito di … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
EUCROPMAP
Una mappa dei tipi di colture europee basata sulle osservazioni in situ di Sentinel-1 e LUCAS Copernicus 2018 per il 2018 e una basata su Sentinel-2 e LUCAS Copernicus 2022 per il 2022. Sfruttando il sondaggio in situ LUCAS 2018 di Copernicus, il set di dati del 2018 è la prima mappa continentale dei tipi di colture … agriculture crop eu jrc lucas sentinel1-derived -
Satellite Embedding versione 1
Il set di dati di Google Satellite Embedding è una raccolta globale di embedding geospaziali appresi, pronta per l'analisi. Ogni pixel di 10 metri in questo set di dati è una rappresentazione a 64 dimensioni, o "vettore di embedding", che codifica le traiettorie temporali delle condizioni della superficie in quel pixel e nelle sue vicinanze, misurate da vari sistemi di osservazione della Terra … annuali a livello mondiale di Google derivate da Landsat immagini satellitari derivate da Sentinel-1 -
Impronta dei insediamenti nel mondo 2015
Il World Settlement Footprint (WSF) 2015 è una maschera binaria con una risoluzione di 10 m che delinea l'estensione degli insediamenti umani a livello globale, ricavata tramite immagini multitemporali di Landsat-8 e Sentinel-1 del 2014-2015 (di cui sono state elaborate rispettivamente circa 217.000 e 107.000 scene). Le dinamiche temporali degli insediamenti umani … landcover da Landsat popolazione da Sentinel-1 insediamento urbano
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) |"]]