The study applied the soil, land and topographic data for analyzing the potentiality of land for trees /crops suitability in the Gumla district of Jharkhand, India. The remote sensing, GIS and GIS modeling techniques were used to achieve the goal. The soil fertility, soil wetness, and slope map are scientifically produced and integrated to find out the landscape suitable categories for prioritization of trees/crops scaling in the agroforestry domain. Additionally, we have examined the drift of loss of soil wetness using satellite data from monsoon to postmonsoon period up to the village level. |
