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ESA WorldCereal 10 m v100
欧洲空间局 (ESA) WorldCereal 10 m 2021 产品套件包含全球范围的年作物和季节作物地图及其相关置信度。这些数据集是在 ESA-WorldCereal 项目中生成的。详细了解这些产品的内容以及用于评估这些产品的 … 农业 copernicus crop esa 全球 landcover -
ESA WorldCereal Active Cropland 10 m v100
欧洲空间局 (ESA) WorldCereal 活跃农地 10 米 2021 年产品套件包含全球范围的季节性活跃农地标记。这些数据集是在 ESA-WorldCereal 项目中生成的。活跃农地产品用于指明被标识为临时作物的像素是否已活跃耕种。 农业 copernicus crop esa 全球 landcover -
ESA WorldCover 10 米 v100
欧洲空间局 (ESA) WorldCover 10 m 2020 产品基于 Sentinel-1 和 Sentinel-2 数据,提供 2020 年分辨率为 10 米的全球土地覆盖图。WorldCover 产品包含 11 个土地覆盖类,是在以下框架下生成的… esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
ESA WorldCover 10m v200
欧洲空间局 (ESA) 2021 年 WorldCover 10 米分辨率产品基于 Sentinel-1 和 Sentinel-2 数据,提供了 2021 年全球土地覆盖图,分辨率为 10 米。WorldCover 产品包含 11 个土地覆盖类,是在以下框架下生成的… esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
EUCROPMAP
2018 年欧洲作物类型地图,基于 Sentinel-1 和 LUCAS Copernicus 2018 年现场观测数据;2022 年欧洲作物类型地图,基于 Sentinel-2 和 LUCAS Copernicus 2022 年现场观测数据。2018 年数据集是第一个大陆性作物类型地图,它利用了独特的 2018 年 LUCAS 哥白尼原位调查数据,… 农业 作物 欧盟 jrc lucas sentinel1-derived -
卫星嵌入 V1
Google 卫星嵌入数据集是一个全球性的已学地理空间嵌入集合,可供分析。该数据集中每个 10 米像素都是一个 64 维表示法(即“嵌入向量”),用于编码各种地球观测 … 年 全球 Google Landsat 派生 卫星图像 Sentinel-1 派生 -
2015 年世界人类聚居足迹
2015 年世界人类定居足迹 (WSF) 是一张分辨率为 10 米的二进制掩码,概述了全球人类定居的范围,该数据集是通过 2014 年至 2015 年的多时相 Landsat-8 和 Sentinel-1 图像(分别处理了约 217,000 个和约 107,000 个场景)派生而来。人类定居点的时间动态… 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) |"]]