Title | Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques [electronic resource] / edited by Hamid Reza Pourghasemi, Mauro Rossi |
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Imprint | Cham : Springer International Publishing : Imprint: Springer, 2019 |
Connect to | https://doi.org/10.1007/978-3-319-73383-8 |
Descript | XXII, 296 p. 146 illus., 131 illus. in color. online resource |
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