Statistical Approaches for Landslide Susceptibility Assessment and Prediction

Statistical Approaches for Landslide Susceptibility Assessment and Prediction

Mandal, Sujit; Mondal, Subrata

Springer International Publishing AG

09/2018

193

Dura

Inglês

9783319938967

15 a 20 dias

483

Descrição não disponível.
1. Concept on Landslides and Landslide Susceptibility2. Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Probability3. Frequency Ratio Model (FRM) and Information Value Model (IVM) in landslide susceptibility Assessment and Prediction4. Logistic Regression Model (LRM) and Landslide Susceptibility: A RS & GIS based approach5. Artificial Neural Network (ANN) Model and Landslide Susceptibility6. Weighted Index Overlay Model (WIOM), Certainty factor approach (CFA) and Analytical Hierarchy Process (AHP) in Landslide Susceptibility Studies7. Knowledge driven Statistical Approach for Landslide Susceptibility Assessment using GIS and Fuzzy Logic8. Comparison between Statistical Models: A Review and EvaluationIndex
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landslide modeling;Landslide Susceptibility Assessment and Prediction;Logistic multiple regression;Artificial Neural Networks;monitoring and warning systems;lithology and geomorphology;Landslide Potentiality Index Value;darjiling himalayas;Analytical Hierarchy Process;hazard evaluation;geomorphic, geo-tectonic and geo-hydrologic attributes;mountain environments;hydrogeology