Spatial Techniques for Soil Erosion Estimation Remote Sensing and GI
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. Ther
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Rupesh Jayaram Patil
Spatial Techniques for Soil Erosion Estimation Remote Sensing and GIS Approach
SpringerBriefs in GIS
SpringerBriefs in GIS present compact, concise summaries of cutting-edge research, practical applications and visualizations in the use of geographical information systems. At 50 to 125 pages (approx. 20,000–50,000) words, SpringerBriefs in GIS provides researchers and practitioners with an innovative venue to present work that might be longer and more complex in scope than a journal article. This series aims to cover a wide range of topics related to geographical information science and geographical information systems. Potential topics could include: an in-depth case study on the use of GIS to accomplish a specific goal; a guide to an emerging GIS tool, technique or map; a “hot-take” on or snapshot of a current issue that needs to be published as quickly as possible (just 8–12 weeks after a manuscript’s delivery and acceptance). Multidisciplinary studies are particularly welcome. SpringerBriefs are distributed through the same channels as Springer’s book content, and are available as physical books and full and chapter-wise eBooks. Both solicited and unsolicited manuscripts are considered for publication in this series. Please send questions and proposals to Zachary Romano, Associate Editor, Earth Science, Environment, and Geography, at [email protected].
More information about this series at http://www.springer.com/series/15244
Rupesh Jayaram Patil
Spatial Techniques for Soil Erosion Estimation Remote Sensing and GIS Approach
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Rupesh Jayaram Patil Department of Soil and Water Engineering, College of Agricultural Engineering Jawaharlal Nehru Agricultural University Jabalpur, Madhya Pradesh India
ISSN 2367-010X ISSN 2367-0118 (electronic) SpringerBriefs in GIS ISBN 978-3-319-74285-4 ISBN 978-3-319-74286-1 (eBook) https://doi.org/10.1007/978-3-319-74286-1 Library of Congress Control Number: 2017964240 © The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warra
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