Shallow landslide susceptibility mapping by random forest base classifier and its ensembles in a semi-arid region of iran

• Main Authors: Viet, H. N., Shirzadi, A., Shahabi, H., Wei, C., John, J. C., Marten, G., Jaafari, A., Avand, M., Miraki, S., Asl, D. T., Binh, T. P., Ahmad, B., Lee, Saro
• Format: Article
• Published: MDPI AG 2020
• Subjects: G70.39-70.6 Remote sensing
• Online Access: http://eprints.utm.my/id/eprint/86974/; http://www.doi.org/10.3390/f11040421

We generated high-quality shallow landslide susceptibility maps for Bijar County, Kurdistan Province, Iran, using Random Forest (RAF), an ensemble computational intelligence method and three meta classifiers—Bagging (BA, BA-RAF), Random Subspace (RS, RS-RAF), and Rotation Forest (RF, RF-RAF). Modeli...