This study analyses the spatiotemporal distribution of land use and land cover (LULC) in the United Arab Emirates (UAE) over the past 50 years (1972–2021) using 72 multi-temporal Landsat satellite ima
Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster layers, and the training samples (LUCAS and CORINE samples compilation) to map the land-cover in diffe
This package supplements the following paper entitled “Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm” publ
Training-validation dataset as part of article "Effect of the synergetic use of Sentinel-1, Sentinel-2, LiDAR and derived data in Land Cover Classification of a Semiarid Mediterranean Area", subbmited
