Performance Assessment of Multivariate Statistical and Bagging Ensembles in Landslide Susceptibility Mapping: Case Study of National Highway-10

One of the major natural disasters that take place on earth is landslide, which can happen naturally or as a result of human activity. In mountainous and hilly terrain, landslides, which can be fatal, are more frequent. To prevent the loss of life and minimize economic loss, the two main repercussions of the deadly calamity, susceptibility assessments and the identification of probable landslide zones become essential. The current study aims to provide a comprehensive performance assessment of a multivariate statistical technique and a bagging ensemble for landslide susceptibility mapping along the NH-10, which has an approximate expansion of 51.5 kms from Sivok Khola to Rangpoo. In total, 309 landslide sites were identified and divided randomly into training and testing data with 70:30 ratio. The prepared susceptibility maps were validated and substantiated through the receiver operating characteristics curve, which showed bagging ensemble performed better.