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

• 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/28544/1/Landslide%20susceptibility%20mapping%20using%20support%20vector%20machine%20and%20GIS%20at%20the%20Golestan%20province%2C%20Iran.pdf; http://psasir.upm.edu.my/id/eprint/28544/; http://link.springer.com/article/10.1007%2Fs12040-013-0282-2

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...