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Global Map of Oil Palm Plantations
The dataset is a 10m global industrial and smallholder oil palm map for 2019. It covers areas where oil palm plantations were detected. The classified images are the output of a convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites. See article for additional … biodiversity conservation crop global landuse oilpalm -
ESA WorldCover 10m v100
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 … esa landcover landuse sentinel1-derived sentinel2-derived -
ESA WorldCover 10m v200
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 … esa landcover landuse sentinel1-derived sentinel2-derived -
Dynamic World V1
Dynamic World is a 10m near-real-time (NRT) Land Use/Land Cover (LULC) dataset that includes class probabilities and label information for nine classes. Dynamic World predictions are available for the Sentinel-2 L1C collection from 2015-06-27 to present. The revisit frequency of Sentinel-2 is between 2-5 days … global google landcover landuse nrt sentinel2-derived -
Google Global Landsat-based CCDC Segments (1999-2019)
This collection contains precomputed results from running the Continuous Change Detection and Classification (CCDC) algorithm on 20 years of Landsat surface reflectance data. CCDC is a break-point finding algorithm that uses harmonic fitting with a dynamic RMSE threshold to detect breakpoints in time-series data. The … change-detection google landcover landsat-derived landuse -
LUCAS Copernicus (Polygons with attributes, 2018) V1
The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and … copernicus eu jrc landcover landuse lucas -
LUCAS Harmonized (Theoretical Location, 2006-2018) V1
The Land Use/Cover Area frame Survey (LUCAS) in the European Union (EU) was set up to provide statistical information. It represents a triennial in-situ landcover and land-use data-collection exercise that extends over the whole of the EU's territory. LUCAS collects information on land cover and … eu jrc landcover landuse lucas table -
DESS China Terrace Map v1
This dataset is a China terrace map at 30 m resolution in 2018. It was developed through supervised pixel-based classification using multisource and multi-temporal data based on the Google Earth Engine platform. The overall accuracy and kappa coefficient achieved 94% and 0.72, respectively. This first … agriculture landcover landuse tsinghua -
USFS Landscape Change Monitoring System v2023.9 (CONUS and OCONUS)
This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year that covers the Conterminous United States (CONUS) and areas outside the CONUS (OCONUS) that include Southeastern Alaska (SEAK), Puerto … change-detection forest gtac landcover landsat landuse -
Oil Palm Plantation Probability v20240312
This image collection provides per-pixel probability that the underlying area is in oil palm cultivation. These probability estimates are provided at 10 meter resolution, and have been generated by a machine learning model. Labeled examples of oil palm plantations were supplied by community contributors to … biodiversity conservation crop deforestation eudr landuse
[null,null,[],[[["This collection of datasets provides global and regional land cover and land use information, including oil palm plantations, at various resolutions."],["Data sources include Sentinel-1, Sentinel-2, Landsat, and in-situ surveys like LUCAS."],["The datasets offer insights into land cover change, biodiversity, conservation, and agricultural practices."],["Some datasets provide near-real-time data or high-resolution classifications for specific regions or land cover types like terraces."],["European Space Agency and Google are major contributors to this collection, alongside research institutions like Tsinghua University and USFS."]]],[]]