Land Cover Classification Dataset. CORINE Land Cover is a pan-European land cover inventory with 44 them

CORINE Land Cover is a pan-European land cover inventory with 44 thematic classes. Download now for precise AI research in geospatial analysis and mapping. The maps are derived from ESA Sentinel-2 The dataset covers all global land areas except Antarctica, and includes 10 Science Data Sets (SDSs) that track land cover, land cover changes and greenness Here, we present LandCoverNet, a global training dataset for land cover classification based on Sentinel-2 observations at 10m spatial Land Use Land Cover (LULC) classification is pivotal to sustainable environment and natural resource management. Land cover and use data is crucial for identifying past and current trends in agriculture and inform planning and policies towards the design and implementation of more sustainable agricultural LandCoverNet is a global annual land cover classification training dataset with labels for the multi-spectral satellite imagery from With its diverse classification system, high spatial resolution, and extensive temporal coverage, GLC_FCS30D serves as a valuable resource for climate change research Additionally, sub-pixel proportions of each land cover class in each 0. Download the Land Cover Abstract. It is critical in planning, monitorin The WorldCover product comes with 11 land cover classes, aligned with UN-FAO's Land Cover Classification System, and has been generated in the framework of the ESA WorldCover Land cover and use data is crucial for identifying past and current trends in agriculture and inform planning and policies towards the design and implementation of more sustainable agricultural Dynamic World is a 10 meter resolution near real time global land use land cover dataset in Google Earth Engine A dataset for accurate land cover classification and semantic segmentation These 30-meter resolution land cover maps show the global distribution of 10 major land cover classes: water bodies, wetlands, artificial surfaces, cultivated land, permanent snow and ice, Google Earth Engine offers a variety of land cover and land use datasets derived from satellite imagery and other sources. 05 degree pixel is provided along with the aggregated quality assessment Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. at This dataset provides global maps describing the land surface into 22 classes, which have been defined using the United Nations Food Enhance land cover classification models with our DeepGlobe dataset. The continuous development of remote sensing techniques provides ample opportunities for high-resolution land-cover Consequently, the lack of multimodal RS benchmark datasets, to a larger extent, limits the development of the corresponding methodologies and the practical application of Page Summary The Copernicus Global Land Service provides a 100m resolution global land cover map (CGLS-LC100) for 2015-2019, . Initiated in 1985 (the 1990 reference year) the inventory This dataset provides global maps describing the land surface into 22 classes, which have been defined using the United Nations Food To obtain a pixel-wise land-cover classification with the target image, we rely on the fine-tuned CNN and develop a hybrid classification by combining patch-wise classification and In this study, we address the challenge of land use and land cover classification using Sentinel-2 satellite images. 24 sep. 2025 Enhance land cover classification models with our DeepGlobe dataset. The Sentinel-2 Time series of annual global maps of land use and land cover (LULC) was updated to v3 with global 10m land cover from 2017-2024. These datasets cover The Global Dynamic Land Cover product, with specific regard to the 100 m datasets covering the years 2015-2019, offers annual global land cover The classification system used by NLCD is modified from the Anderson Land Cover Classification System *.

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