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Spatial techniques for soil erosion ...

Patil, Rupesh Jayaram.

Spatial techniques for soil erosion estimationremote sensing and GIS approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatial techniques for soil erosion estimationby Rupesh Jayaram Patil.
其他題名:	remote sensing and GIS approach /
作者:	Patil, Rupesh Jayaram.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xix, 81 p. :ill., maps, digital ;24 cm.
Contained By:	Springer eBooks
標題:	Soil erosion prediction.
電子資源:	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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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.
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