Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

• Corporate Author: SpringerLink (Online service)
• Other Authors: Pourghasemi, Hamid Reza (Editor, http://id.loc.gov/vocabulary/relators/edt), Rossi, Mauro (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Advances in Natural and Technological Hazards Research, 48
• Subjects: Natural disasters.; Data mining.; Natural Hazards.; Data Mining and Knowledge Discovery.

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, ear...

Table of Contents:

• Gully erosion modeling using GIS-based data mining techniques in Northern Iran; a comparison between boosted regression tree and multivariate adaptive regression spline
• Concepts for Improving Machine Learning Based Landslide Assessment
• Multi-hazard assessment modeling using multi-criteria analysis and GIS: a case study
• 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
• Land Subsidence modelling using data mining techniques. The case study of Western Thessaly, Greece
• Application of fuzzy analytical network process model for analyzing the gully erosion susceptibility
• Landslide susceptibility prediction maps: from blind-testing to uncertainty of class membership: a review of past and present developments
• Earthquake events modeling using multi-criteria decision analysis in Iran
• Prediction of Rainfall as One of the Main Variables in Several Natural Disasters
• Landslide Inventory, Sampling & Effect of Sampling Strategies on Landslide Susceptibility/Hazard Modelling at a Glance
• GIS-based landslide susceptibility evaluation using certainty factor and index of entropy ensembled with alternating decision tree models
• 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
• Monitoring and Management of Land Subsidence induced by over-exploitation of groundwater
• A VEGETATED VARIATION MODEL FOR THE FLOODPLAIN OF LOWER MEKONG DELTA DERIVED FROM MULTI-TEMPORAL ERS-2 AND SENTINEL-1 DATA.