Geoinformatics and Modelling of Landslide Susceptibility and Risk : An RS & GIS-based Model Building Approach in the Eastern Himalaya (Environmental Science) （2019）

Mandal, Sujit/ Mondal, Subrata

Springer Nature Switzerland AG（2019/06発売）

• 製本 Hardcover:ハードカバー版／ページ数 223 p.
• 言語 ENG
• 商品コード 9783030104948
• DDC分類 333.709

Full Description

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. 

Contents

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.