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Spatial Techniques for Soil Erosion Estimation

Remote Sensing and GIS Approach

  • Book
  • © 2018

Overview

  • Discusses different approaches on the implementation of the influence of topography on erosion
  • Provides an executable C++ program for computation of the LS factor
  • Important tool for developing regional soil erosion prediction models
  • Useful for prioritization of watersheds to undertake conservation work

Part of the book series: SpringerBriefs in GIS (BRIEFSGIS)

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Table of contents (7 chapters)

Keywords

About this book

This book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate levelas well as applicants of soil erosion models.

Authors and Affiliations

  • Department of Soil and Water Engineering, College of Agricultural Engineering, Jawaharlal Nehru Agricultural University, Jabalpur, India

    Rupesh Jayaram Patil

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