The dataset is modeled and analyzed in the GIS domain using diversified datasets of land, climate, topography, and soil in a large continuous swath of the South Asian subcontinent with countries including, Afghanistan, Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri Lanka. The datasets used and methods applied are described in detail in the article Ahmad et al. 2020.

The Land Potential for Agroforestry Database of South Asia provides raster data (a continuous value) describing the percent value which varies from 0 to 100 (the higher value shows higher land potentiality towards agroforestry).
Description of Raster data
1. Format: GeoTIFF
2. Projected Coordinate System: UTM, Zone 43N
3. Spatial resolution: (10 km x 10 km)
We actively encourage the use of these products for scientific purposes. Any further queries about the data should contact Firoz Ahmad (adfiroz@yahoo.com) or Laxmi Goparju (goparajulaxmi@yahoo.com).

Ahmad, F.; Uddin, M.M.; Goparaju, L.; Rizvi, J.; Biradar, C. Quantification of the Land Potential for Scaling Agroforestry in SouthAsia.KN J. Cart. Geogr. Inf.2020,70, 71–89. https://doi.org/10.1007/s42489-020-00045-0