Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Description

This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management. Front Matter ....Pages i-xxii Gully Erosion Modeling Using GIS-Based Data Mining Techniques in Northern Iran: A Comparison Between Boosted Regression Tree and Multivariate Adaptive Regression Spline (Mohsen Zabihi, Hamid Reza Pourghasemi, Alireza Motevalli, Mohamad Ali Zakeri)....Pages 1-26 Concepts for Improving Machine Learning Based Landslide Assessment (Miloš Marjanović, Mileva Samardžić-Petrović, Biljana Abolmasov, Uroš Đurić)....Pages 27-58 Assessment of the Contribution of Geo-environmental Factors to Flood Inundation in a Semi-arid Region of SW Iran: Comparison of Different Advanced Modeling Approaches (Davoud Davoudi Moghaddam, Hamid Reza Pourghasemi, Omid Rahmati)....Pages 59-78 Land Subsidence Modelling Using Data Mining Techniques. The Case Study of Western Thessaly, Greece (Paraskevas Tsangaratos, Ioanna Ilia, Constantinos Loupasakis)....Pages 79-103 Application of Fuzzy Analytical Network Process Model for Analyzing the Gully Erosion Susceptibility (Bahram Choubin, Omid Rahmati, Naser Tahmasebipour, Bakhtiar Feizizadeh, Hamid Reza Pourghasemi)....Pages 105-125 Landslide Susceptibility Prediction Maps: From Blind-Testing to Uncertainty of Class Membership: A Review of Past and Present Developments (Andrea G. Fabbri, Chang-Jo Chung)....Pages 127-144 Earthquake Events Modeling Using Multi-criteria Decision Analysis in Iran (Marzieh Mokarram, Hamid Reza Pourghasemi)....Pages 145-163 Prediction of Rainfall as One of the Main Variables in Several Natural Disasters (Vahid Moosavi)....Pages 165-203 Landslide Inventory, Sampling and Effect of Sampling Strategies on Landslide Susceptibility/Hazard Modelling at a Glance (Isik Yilmaz, Murat Ercanoglu)....Pages 205-224 GIS-Based Landslide Susceptibility Evaluation Using Certainty Factor and Index of Entropy Ensembled with Alternating Decision Tree Models (Wei Chen, Hamid Reza Pourghasemi, Aiding Kornejady, Xiaoshen Xie)....Pages 225-251 Evaluation of Sentinel-2 MSI and Pleiades 1B Imagery in Forest Fire Susceptibility Assessment in Temperate Regions of Central and Eastern Europe. A Case Study of Romania (Bogdan-Andrei Mihai, Ionuț Săvulescu, Marina Vîrghileanu, Bogdan Olariu)....Pages 253-269 Monitoring and Management of Land Subsidence Induced by Over-exploitation of Groundwater (Maryam Dehghani, Mohammad Reza Nikoo)....Pages 271-296