-
ESA WorldCereal 10 m v100
유럽우주기구 (ESA) WorldCereal 10m 2021 제품 모음은 전 세계 연간 및 시즌별 작물 지도와 관련 신뢰도로 구성됩니다. ESA-WorldCereal 프로젝트의 일환으로 생성되었습니다. 이러한 제품의 콘텐츠 및 평가에 사용된 방법론에 대한 자세한 내용은 … 농업 코페르니쿠스 작물 esa 전 세계 지형지물 -
ESA WorldCereal Active Cropland 10 m v100
유럽우주기구 (ESA) WorldCereal Active Cropland 10 m 2021 제품군에는 전 세계적인 규모의 계절별 활성 농경지 마커가 포함되어 있습니다. ESA-WorldCereal 프로젝트의 일환으로 생성되었습니다. 활성 농경지 제품은 임시 작물로 식별된 픽셀이 실제로 재배되었는지 여부를 나타냅니다. 농업 코페르니쿠스 작물 esa 전 세계 지형지물 -
ESA WorldCover 10m v100
유럽우주기구 (ESA) WorldCover 10m 2020 제품은 Sentinel-1 및 Sentinel-2 데이터를 기반으로 10m 해상도의 2020년 전 세계 토지 피복 지도를 제공합니다. WorldCover 제품은 11개의 지형지물 클래스와 함께 제공되며 … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
ESA WorldCover 10m v200
유럽우주기구 (ESA) WorldCover 10m 2021 제품은 Sentinel-1 및 Sentinel-2 데이터를 기반으로 10m 해상도의 2021년 전 세계 토지 피복 지도를 제공합니다. WorldCover 제품은 11개의 지형지물 클래스와 함께 제공되며 … esa landcover landuse landuse-landcover sentinel1-derived sentinel2-derived -
EUCROPMAP
2018년의 경우 Sentinel-1 및 LUCAS Copernicus 2018 현장 관측을 기반으로 한 유럽 작물 유형 지도와 2022년의 경우 Sentinel-2 및 LUCAS Copernicus 2022를 기반으로 한 지도입니다. 고유한 LUCAS 2018 코페르니쿠스 현장 조사를 활용한 2018년 데이터 세트는 최초의 대륙 작물 유형 지도입니다. 농업 작물 eu jrc lucas sentinel1-derived -
위성 삽입 V1
Google 위성 임베딩 데이터 세트는 학습된 지리적 임베딩의 글로벌 컬렉션으로, 분석에 바로 사용할 수 있습니다. 이 데이터 세트의 각 10미터 픽셀은 다양한 지구 관측으로 측정된 해당 픽셀 및 주변의 표면 상태의 시간적 궤적을 인코딩하는 64차원 표현 또는 '임베딩 벡터'입니다. 연간 전 세계 Google Landsat 파생 위성 이미지 Sentinel-1 파생 -
2015년 전 세계 정착촌 면적
2015년 세계 인구 거주 지역 풋프린트 (WSF)는 2014~2015년 다중 시점 Landsat-8 및 Sentinel-1 이미지 (이 중 각각 약 217,000개와 107,000개의 장면이 처리됨)를 통해 전 세계 인구 거주 지역의 범위를 윤곽선으로 나타낸 10m 해상도의 바이너리 마스크입니다. 인간 정착촌의 시간적 역학 … 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) |"]]