Landsat-based map of the vegetation cover of the Perm region

This dataset presents the first Landsat-based map of the vegetation cover for the Perm region (Russia).
Initial Landsat images were obtained in 2016-2020. The map building technique
is based on the supervised classification of satellite images and subsequent
post-processing. This technique involves the use of a number of additional
sources, in particular, long-term data on forest disturbances, as well as reforestation
areas on abandoned agricultural land. Finally, a map with a spatial resolution
of 30 m (which corresponds to a scale of 1:100,000) has been created. The map
legend includes 19 thematic classes, 11 of them contain the information on
forest vegetation. Previously compiled global Landsat-based datasets namely Global Forest Change (Hansen et al., 2013), Global Surface Water (Pekel et al., 2016) and Global cropland extent (Potapov et al., 2021) were used co identify the classes of forest loss areas, water surface and croplands.