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Geoinformatics and Modelling of Landslide Susceptibility and Risk

An RS & GIS-based Model Building Approach in the Eastern Himalaya

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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. 

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juin 2019, 223 Pages, Environmental Science and Engineering, Environmental Science, Anglais
Springer Nature EN
978-3-030-10494-8

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