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

Ratul Das; Barnali Gogoi; Monoj Kumar Jaiswal

doi:10.17485/IJST/v13i23.588

Article

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

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v13i23.588

Year: 2020, Volume: 13, Issue: 23, Pages: 2319-2327

Original Article

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

Ratul Das^1*, Barnali Gogoi², Monoj Kumar Jaiswal³

¹Department of Geography, Cotton College (GU), Guwahati, 781001, Assam, India
²Department of Geography, Cotton University, Guwahati, 7810012, Assam, India
³Centre for Studies in Geography, Dibrugarh University, Dibrugarh, Assam, India

^*Corresponding author
Ratul Das
Dept. of Geography, Cotton College (GU), Guwahati, 781001, Assam, India
Email: [email protected]

Received Date:12 May 2020, Accepted Date:13 June 2020, Published Date:06 July 2020

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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 comprehensive methodology 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^-1year^-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 area with 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.

Keywords: Soil erosion; Assam; remote sensing; GIS; soil loss estimation

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Copyright

© 2020 Das, Gogoi, Jaiswal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Published By Indian Society for Education and Environment (iSee)