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...
| Main Authors: | , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Environmental Science,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-10495-5 |
Table of 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.