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Objectives: This study focuses on identifying areas of intense soil erosion in Sadiya, a subdivision of Tinsukia district of Assam in India to facilitate appropriate implementation of soil management and conservation schemes in an administrative unit.Methods: A comprehensivemethodology of Remote Sensing (RS) and Geographical Information System (GIS) is implemented with an empirical model called the Revised Universal Soil Loss Equation (RUSLE). RUSLE is the best model to assess soil loss creating different raster layers in GIS. Findings: This study estimates about 443865 tons of soil loss occurs in Sadiya region annually. The maximum rate of soil loss recorded in Sadiya region is 888.26 t ha−1 year−1 the average soil loss estimated for the region is 5.45 t ha−1 year−1. In addition, a final soil loss map is also created to show the zones of varied soil erosion rates/intensities. Applications/Improvements: The use of RS and GIS in soil loss estimation gives highly accurate result and can be used for extensive areawith low cost. The study reveals that soil loss is a serious issue in the region where agriculture is the main economic activity. The outcome of the study may be used directly to address the hazard through management practices.

Soil loss assessment in Sadiya Region, Assam, India using remote sensing and GIS