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Spatial Techniques for Soil Erosion Estimation : Remote Sensing and GIS Approach / by Rupesh Jayaram Patil.
Author
Patil, Rupesh Jayaram
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Format
Book
Language
English
Εdition
1st ed. 2018.
Published/Created
Cham : Springer International Publishing : Imprint: Springer, 2018.
Description
1 online resource (81 pages) : illustrations, tables.
Details
Subject(s)
Geographic information systems
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Hydrology
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Civil engineering
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Geomorphology
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Series
SpringerBriefs in GIS,
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SpringerBriefs in GIS, 2367-010X
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Summary note
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 level as well as applicants of soil erosion models. .
Bibliographic references
Includes bibliographical references.
Contents
Introduction
Usle - Gis Based Soil Erosion Assessment: An Overview
Study Area and Data Collection
Spatial Techniques for Soil Erosion Estimation
Distributed Soil Erosion Modelling
Summary, Conclusions and Suggestions for Further Work.
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ISBN
3-319-74286-8
Doi
10.1007/978-3-319-74286-1
Statement on responsible collection description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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