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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Geoinformatics and Modelling of Landslide Susceptibility and Risk/ by Sujit Mandal, Subrata Mondal.
Reminder of title:	An RS & GIS-based Model Building Approach in the Eastern Himalaya /
Author:	Mandal, Sujit.
other author:	Mondal, Subrata.
Description:	XIII, 223 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Physical geography. -
Online resource:	https://doi.org/10.1007/978-3-030-10495-5
ISBN:	9783030104955

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

Geoinformatics and Modelling of Landslide Susceptibility and RiskAn RS & GIS-based Model Building Approach in the Eastern Himalaya /[electronic resource] :by Sujit Mandal, Subrata Mondal. - 1st ed. 2019. - XIII, 223 p.online resource. - Environmental Science,1431-6250. - Environmental Science,.

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.

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. .

ISBN: 9783030104955

Standard No.: 10.1007/978-3-030-10495-5doiSubjects--Topical Terms:

784466
Physical geography.

LC Class. No.: GB3-5030

Dewey Class. No.: 550

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