NDLI: Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

Content Provider	Springer Nature Link
Author	Kavzoglu, Taskin Sahin, Emrehan Kutlug Colkesen, Ismail
Copyright Year	2013
Abstract	Identification of landslides and production of landslide susceptibility maps are crucial steps that can help planners, local administrations, and decision makers in disaster planning. Accuracy of the landslide susceptibility maps is important for reducing the losses of life and property. Models used for landslide susceptibility mapping require a combination of various factors describing features of the terrain and meteorological conditions. Many algorithms have been developed and applied in the literature to increase the accuracy of landslide susceptibility maps. In recent years, geographic information system-based multi-criteria decision analyses (MCDA) and support vector regression (SVR) have been successfully applied in the production of landslide susceptibility maps. In this study, the MCDA and SVR methods were employed to assess the shallow landslide susceptibility of Trabzon province (NE Turkey) using lithology, slope, land cover, aspect, topographic wetness index, drainage density, slope length, elevation, and distance to road as input data. Performances of the methods were compared with that of widely used logistic regression model using ROC and success rate curves. Results showed that the MCDA and SVR outperformed the conventional logistic regression method in the mapping of shallow landslides. Therefore, multi-criteria decision method and support vector regression were employed to determine potential landslide zones in the study area.
Starting Page	425
Ending Page	439
Page Count	15
File Format	PDF
ISSN	1612510X
Journal	Landslides
Volume Number	11
Issue Number	3
e-ISSN	16125118
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-02-28
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Landslide Susceptibility mapping Multi-criteria decision analysis Support vector machine Logistic regression Natural Hazards Geography (general) Agriculture Civil Engineering
Content Type	Text
Resource Type	Article
Subject	Geotechnical Engineering and Engineering Geology

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