New ensemble models for shallow landslide susceptibility modeling in a semi-arid watershed

• Main Authors: Bui, Dieu Tien, Shirzadi, Ataollah, Shahabi, Himan, Geertsema, Marten, Omidvar, Ebrahim, Clague, John J., Pham, Binh Thai, Dou, Jie, Asl, Dawood Talebpour, Ahmad, Baharin, Lee, Saro
• Format: Article
• Published: MDPI AG 2019
• Subjects: NA Architecture
• Online Access: http://eprints.utm.my/id/eprint/87625/; http://dx.doi.org/10.3390/f10090743
• Institution: Universiti Teknologi Malaysia

We prepared a landslide susceptibility map for the Sarkhoon watershed, Chaharmahal-wbakhtiari, Iran, using novel ensemble artificial intelligence approaches. A classifier of support vector machine (SVM) was employed as a base classifier, and four Meta/ensemble classifiers, including Adaboost (AB), b...