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Geoinformatics and modelling of land...

Mandal, Sujit.

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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:	Electronic resources : 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.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xiii, 223 p. :ill., color maps, digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Landslide hazard analysis. -
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. - Cham :Springer International Publishing :2019. - xiii, 223 p. :ill., color maps, digital ;24 cm. - 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:

596837
Landslide hazard analysis.

LC Class. No.: QE599.2 / .M363 2019

Dewey Class. No.: 551.307

Geoinformatics and modelling of landslide susceptibility and risk = an RS & GIS-based model building approach in the Eastern Himalaya /
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100 1 $a Mandal, Sujit. $3 2131809
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiii, 223 p. : $b ill., color maps, digital ; $c 24 cm.
490 1 $a Environmental science, $x 1431-6250
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.
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650 2 4 $a Natural Hazards. $3 1005730
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Environmental Geography. $3 2131519
700 1 $a Mondal, Subrata. $3 1921788
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856 4 0 $u https://doi.org/10.1007/978-3-030-10495-5
950 $a Earth and Environmental Science (Springer-11646)