Landslide susceptibility mapping using RF, BRT, CRT, and GL models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia
The purpose of the current study is to produce landslide susceptibility maps using different data mining models. Four modeling techniques, namely random forest (RF), boosted regression tree (BRT), classification and regression tree (CART), and general linear (GLM) are used, and their results are compared for landslides susceptibility mapping at the Wadi Tayyah Basin, Asir Region, Saudi Arabia. Landslide locations were ... Read more