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Spatial techniques for soil erosion ...

Patil, Rupesh Jayaram.

Spatial techniques for soil erosion estimationremote sensing and GIS approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spatial techniques for soil erosion estimationby Rupesh Jayaram Patil.
Reminder of title:	remote sensing and GIS approach /
Author:	Patil, Rupesh Jayaram.
Published:	Cham :Springer International Publishing :2018.
Description:	xix, 81 p. :ill., maps, digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Soil erosion prediction.
Online resource:	http://dx.doi.org/10.1007/978-3-319-74286-1
ISBN:	9783319742861$q(electronic bk.)

Spatial techniques for soil erosion estimationremote sensing and GIS approach /
Patil, Rupesh Jayaram.

Spatial techniques for soil erosion estimationremote sensing and GIS approach /[electronic resource] :by Rupesh Jayaram Patil. - Cham :Springer International Publishing :2018. - xix, 81 p. :ill., maps, digital ;24 cm. - SpringerBriefs in GIS,2367-010X. - SpringerBriefs in GIS..

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.

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.

ISBN: 9783319742861$q(electronic bk.)

Standard No.: 10.1007/978-3-319-74286-1doiSubjects--Topical Terms:

806360
Soil erosion prediction.

LC Class. No.: QH545.S64

Dewey Class. No.: 333.73

Spatial techniques for soil erosion estimationremote sensing and GIS approach /
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100 1 $a Patil, Rupesh Jayaram. $3 806358
245 1 0 $a Spatial techniques for soil erosion estimation $h [electronic resource] : $b remote sensing and GIS approach / $c by Rupesh Jayaram Patil.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a xix, 81 p. : $b ill., maps, digital ; $c 24 cm.
490 1 $a SpringerBriefs in GIS, $x 2367-010X
505 0 $a 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.
520 $a 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.
650 0 $a Soil erosion prediction. $3 806360
650 1 4 $a Geography. $3 174760
650 2 4 $a Geographical Information Systems/Cartography. $3 273999
650 2 4 $a Hydrology/Water Resources. $3 675922
650 2 4 $a Civil Engineering. $3 273741
650 2 4 $a Geomorphology. $3 294420
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773 0 $t Springer eBooks
830 0 $a SpringerBriefs in GIS. $3 806359
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-74286-1
950 $a Earth and Environmental Science (Springer-11646)