Sundeep Kumar Antil,1* M.S. Sidhpuria,1 Mukesh Kumar,1 Sanjay Kumar1
and Nitin Bhardwaj2
1Department of Soil and Water Engineering, COAE&T, CCS HAU, Hisar, Haryana, India
2Department of Math & Statistics, COBS&H, CCS HAU, Hisar, Haryana, India
Email: sundeepantil@gmail.com
Received-06.07.2022, Revised-18.07.2022, Accepted-28.07.2022
Abstract: The changes in land use and land cover over the land surface are contributing factors to soil erosion due to their effects on soil health, nutrient status, and sedimentation in water bodies. Understanding the processes that cause soil erosion allows one to more quickly Identify locations in a landscape that are prone to erosion and address the issue in a systematic way. The geospatial technologies and their integration with soil erosion models have been widely employed to predict the potential status of soil erosion around the world. The purpose of this study was to evaluate the usefulness of geographical information system and remote sensing techniques in determining land use land cover and soil erosion prediction.
Keywords: Digital Elevation Model, Land use, Land cover, RUSLE, Soil erosion, Watershed Prioritization
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