The layer shows the roads in class 1 class 2 and class 3 all over the country

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 applied in the computation method where changes in the sub-indicators are classified as improving, declining and stable. A land unit is considered degraded if any sub-indicator shows a negative or remains stable when previously degraded.

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 applied in the computation method where changes in the sub-indicators are classified as improving, declining and stable. A land unit is considered degraded if any sub-indicator shows a negative or remains stable when previously degraded.

The rivers layer shows the shows the location, Length and direction of all rivers across the country.

The feature layer has been extracted from the 1x1 km grid data of the population distribution of Nepal. The data has been generated using the population census 2011 of Nepal and the landuse 2010 data from ICIMOD. Various other data source such as SRTM DEM 90 meter, Settlement data and protected area has also been used on the model.

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 Kapos et al. (2000): Class 1: elevation > 4500m; Class 2: elevation 3500–4500m; Class 3: elevation 2500-3500m; Class 4: elevation 1500–2500m and slope >= 2deg; Class 5: elevation 1000–1500m and slope >= 5deg or local elevation range (7km radius) > 300m; Class 6: elevation 300–1000m and local elevation range (7km radius) > 300m;

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 Kapos et al. (2000): Class 1: elevation > 4500m; Class 2: elevation 3500–4500m; Class 3: elevation 2500-3500m; Class 4: elevation 1500–2500m and slope >= 2deg; Class 5: elevation 1000–1500m and slope >= 5deg or local elevation range (7km radius) > 300m; Class 6: elevation 300–1000m and local elevation range (7km radius) > 300m;

Eddy Covariance Station measuring turbulent fluxes on Lirung Glacier over approximately 16 days in October 2016.

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 applied in the computation method where changes in the sub-indicators are classified as improving, declining and stable. A land unit is considered degraded if any sub-indicator shows a negative or remains stable when previously degraded.

Landslide data of Koshi basin was digitized from Landsat and Googel Earth.