Landslide susceptibility mapping using support vector machine and GIS at the Golestan province, Iran

Landslide susceptibility mapping using support vector machine and GIS at the Golestan province, Iran

The main goal of this study is to produce landslide susceptibility map using GIS-based support vector machine (SVM) at Kalaleh Township area of the Golestan province, Iran. In this paper, six different types of kernel classifiers such as linear, polynomial degree of 2, polynomial degree of 3, polyno...

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Bibliographic Details
Main Authors: Pourghasemi, Hamid Reza, Jirandeh, Abbas Goli, Pradhan, Biswajeet, Xu, Chong, Gokceoglu, Candan
Format: Article
Language:English
Published: Indian Academy of Sciences 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28544/
http://psasir.upm.edu.my/id/eprint/28544/1/Landslide%20susceptibility%20mapping%20using%20support%20vector%20machine%20and%20GIS%20at%20the%20Golestan%20province%2C%20Iran.pdf

Internet

http://psasir.upm.edu.my/id/eprint/28544/
http://psasir.upm.edu.my/id/eprint/28544/1/Landslide%20susceptibility%20mapping%20using%20support%20vector%20machine%20and%20GIS%20at%20the%20Golestan%20province%2C%20Iran.pdf

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