Geoinformatics and Modelling of Landslide Susceptibility and Risk An
This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learni
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Sujit Mandal Subrata Mondal
Geoinformatics and Modelling of Landslide Susceptibility and Risk An RS & GIS-based Model Building Approach in the Eastern Himalaya
Environmental Science and Engineering Environmental Science
Series Editors Ulrich Förstner, Technical University of Hamburg-Harburg, Hamburg, Germany Wim H. Rulkens, Department of Environmental Technology, Wageningen, The Netherlands Wim Salomons, Institute for Environmental Studies, University of Amsterdam, Haren, The Netherlands
The protection of our environment is one of the most important challenges facing today’s society. At the focus of efforts to solve environmental problems are strategies to determine the actual damage, to manage problems in a viable manner, and to provide technical protection. Similar to the companion subseries Environmental Engineering, Environmental Science reports the newest results of research. The subjects covered include: air pollution; water and soil pollution; renaturation of rivers; lakes and wet areas; biological ecological; and geochemical evaluation of larger regions undergoing rehabilitation; avoidance of environmental damage. The newest research results are presented in concise presentations written in easy to understand language, ready to be put into practice.
More information about this subseries at http://www.springer.com/series/3234
Sujit Mandal Subrata Mondal •
Geoinformatics and Modelling of Landslide Susceptibility and Risk An RS & GIS-based Model Building Approach in the Eastern Himalaya
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Sujit Mandal Department of Geography Diamond Harbour Women’s University Diamond Harbour, West Bengal, India
Subrata Mondal Bajitpur High School Gangarampur, West Bengal, India
ISSN 1863-5520 ISSN 1863-5539 (electronic) Environmental Science and Engineering ISSN 1431-6250 ISSN 2661-8222 (electronic) Environmental Science ISBN 978-3-030-10494-8 ISBN 978-3-030-10495-5 (eBook) https://doi.org/10.1007/978-3-030-10495-5 © Springer Nature Switzerland AG 2019 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 warranty, expressed or implied, with respect to the material contained herein or for any errors or omiss
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