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Geoinformatics and Modelling of Landslide Susceptibility and Risk Environmental Science

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Geoinformatics and Modelling of Landslide Susceptibility and Risk Environmental Science Synopsis

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 learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies. 

About This Edition

ISBN: 9783030104948
Publication date:
Author: Sujit Mandal, Subrata Mondal
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 223 pages
Series: Environmental Science and Engineering
Genres: Earth sciences
Geomorphology and geological surface processes
Physical geography and topography
Geographical information systems, geodata and remote sensing
Natural disasters
Probability and statistics