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Geoinformatics and Modelling of Landslide Susceptibility and Risk

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

  • Book
  • © 2019

Overview

Authors:
  1. Sujit Mandal

    1. Department of Geography, Diamond Harbour Women's University, Diamond Harbour, India

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    You can also search for this author in PubMed   Google Scholar

  2. Subrata Mondal

    1. Bajitpur High School, Gangarampur, India

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    You can also search for this author in PubMed   Google Scholar

  • Explores all geographical parameters and their roles in landslide processes
  • Presents various statistical models and discusses the development of landslide susceptibility and risk maps
  • Describes modern tools and techniques, i.e. remote sensing and geographical information systems
  • Highlights quantitative and semi-quantitative approaches

Part of the book series: Environmental Science and Engineering (ESE)

Part of the book sub series: Environmental Science (ENVSCIENCE)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Landslides: An Overview

    • Sujit Mandal, Subrata Mondal
    Pages 1-28

  3. Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Susceptibility

    • Sujit Mandal, Subrata Mondal
    Pages 29-47

  4. Slope Instability Analysis Using Morphometric Parameters: A Sub-watersheds Scale Study

    • Sujit Mandal, Subrata Mondal
    Pages 49-71

  5. Geomorphic Diversity and Landslide Susceptibility: A Multi-criteria Evaluation Approach

    • Sujit Mandal, Subrata Mondal
    Pages 73-120

  6. Prediction of Landslide Susceptibility Using Bivariate Models

    • Sujit Mandal, Subrata Mondal
    Pages 121-143

  7. Probabilistic Approaches and Landslide Susceptibility

    • Sujit Mandal, Subrata Mondal
    Pages 145-163

  8. Machine Learning Models and Spatial Distribution of Landslide Susceptibility

    • Sujit Mandal, Subrata Mondal
    Pages 165-175

  9. Factor’s Clustering and Identification of Suitable Factor’s Group Model in Landslide Susceptibility

    • Sujit Mandal, Subrata Mondal
    Pages 177-184

  10. Landslide Susceptibility and Elements at Risk: A Brief Review

    • Sujit Mandal, Subrata Mondal
    Pages 185-212

  11. Comparison Between Landslide Susceptibility Models: A Critical Review and Evaluation

    • Sujit Mandal, Subrata Mondal
    Pages 213-223
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Keywords

About this book

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. 

Authors and Affiliations

  • Department of Geography, Diamond Harbour Women's University, Diamond Harbour, India

    Sujit Mandal

  • Bajitpur High School, Gangarampur, India

    Subrata Mondal

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