The annual land cover data of Nepal (2000-2022) have been created through the National Land Cover Monitoring System (NLCMS) for Nepal. The system uses freely available remote-sensing data (Landsat) a..
Digital raster dataset representing the mountain regions in Bhutan. This dataset is prepared based on SRTM 30m resolution DEM showing different classes of mountains in the country defined by the Kapo..
Digital raster dataset of mountain regions in Bangladesh. This dataset is prepared based on SRTM 30m resolution DEM showing different classes of mountains in the country defined by the Kapos et al. (..
Digital 30m resolution raster dataset of mountain regions in Nepal. This dataset is prepared based on SRTM 30m resolution DEM showing different classes of mountains in the country defined by the Kapo..
This dataset assesses land degradation in Nepal in 2020 based on SDG Indicator 15.3.1 by analyzing changes in land cover, land productivity, and soil organic carbon stocks. The 1OAO principle is appl..
This dataset assesses land degradation in Nepal in 2015 based on SDG Indicator 15.3.1 by analyzing changes in land cover, land productivity, and soil organic carbon stocks. The 1OAO principle is appl..
This dataset assesses land degradation in Bhutan in 2015 based on SDG Indicator 15.3.1 by analyzing changes in land cover, land productivity, and soil organic carbon stocks. The 1OAO principle is app..
This dataset assesses land degradation in Bhutan in 2020 based on SDG Indicator 15.3.1 by analyzing changes in land cover, land productivity, and soil organic carbon stocks. The 1OAO principle is app..
This dataset assesses land degradation in Bangladesh in 2015 based on SDG Indicator 15.3.1 by analyzing changes in land cover, land productivity, and soil organic carbon stocks. The 1OAO principle is..
This dataset assesses land degradation in Bangladesh in 2020 based on SDG Indicator 15.3.1 by analyzing changes in land cover, land productivity, and soil organic carbon stocks. The 1OAO principle is..
