Geoinformatics and Modelling of Landslide Susceptibility and Risk An RS & GIS-based Model Building Approach in the Eastern Himalaya /

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 evaluati...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Mandal, Sujit (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Mondal, Subrata (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Environmental Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Geoinformatics and Modelling of Landslide Susceptibility and Risk  |h [electronic resource] :  |b An RS & GIS-based Model Building Approach in the Eastern Himalaya /  |c by Sujit Mandal, Subrata Mondal. 
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300 |a XIII, 223 p.  |b online resource. 
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505 0 |a Landslides: An Overview -- Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Susceptibility -- Slope instability analysis: A Sub-Watershed Scale Study -- Geomorphic Diversity and Landslide Susceptibility: A Multi-Criteria Evaluation Approach -- Landslide Susceptibility Prediction and Assessment using Bivariate Models -- Multivariate Models and Prediction and Assessment of Landslide Susceptibility -- Application of Probabilistic Approach in Landslide Susceptibility Analysis -- Machine Learning Models in Landslides Susceptibility Assessment -- Factor and Factors' Cluster Analysis and Landslide Susceptibility Assessment -- Micro level Landslide Susceptibility and Risk Assessment -- Comparison between Susceptibility Models: A critical Review and Evaluation. 
520 |a 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. . 
650 0 |a Physical geography. 
650 0 |a Remote sensing. 
650 0 |a Geomorphology. 
650 0 |a Natural disasters. 
650 0 |a Statistics . 
650 0 |a Environmental geography. 
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650 2 4 |a Geomorphology.  |0 http://scigraph.springernature.com/things/product-market-codes/J16010 
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650 2 4 |a Environmental Geography.  |0 http://scigraph.springernature.com/things/product-market-codes/J19010 
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