Land use
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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. Predictions are available from 2015-06-27 to present.
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Annual dynamics of global land cover and its long-term changes from 1982 to 2015
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HILDA+ (HIstoric Land Dynamics Assessment+) is a global dataset on annual land use/cover change between 1960 and 2019 at 1 km spatial resolution. It is based on a data-driven reconstruction approach and integrates multiple open data streams (from high-resolution remote sensing, long-term land use reconstructions and statistics). It covers six generic land use/cover categories: 1: Urban areas, 2: Cropland, 3: Pasture/rangeland, 4: Forest, 5: Unmanaged grass/shrubland, 6: Sparse/no vegetation.
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The EC JRC global map of forest cover provides a spatially explicit representation of forest presence and absence for the year 2020 at 10m spatial resolution.
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The World Settlement Footprint (WSF) 2019 is a 10m resolution binary mask outlining the extent of human settlements globally
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DLR Map of Human Settlements based on SAR data
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11 classes of land cover derived from Sentinel-2 imagery. Resolution is 10m.
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In 2023 ESA WorldCereal released the first dynamic system to provide cropland and crop type maps at 10 meter spatial resolution. The WorldCereal consortium succeeded in providing detailed and seasonally updated global maps of temporary crops, crop type (maize, winter cereals and spring cereals) and irrigation for the year 2021.
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The JRC has published the first continental map of crops grown in the European Union at 10-m resolution. This map combines Copernicus Sentinel-1 satellite observations and in-situ LUCAS 2018 Copernicus data using machine learning and cloud computing.
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EUBUCCO is a scientific database of individual building footprints for 200+ million buildings across the 27 European Union countries and Switzerland, together with three main attributes – building type, height and construction year
Stars4Water