http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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 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. .
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.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences