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.

Annual dynamics of global land cover and its long-term changes from 1982 to 2015

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.

DLR Map of Human Settlements based on SAR data

The World Settlement Footprint (WSF) 2019 is a 10m resolution binary mask outlining the extent of human settlements globally

A virtual time machine that maps the location and temporal distribution of water surfaces at the global scale over the past 3.8 decades, and provides statistics on their extent and change to support better informed water-management decision-making.

11 classes of land cover derived from Sentinel-2 imagery. Resolution is 10m.

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

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.

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.