In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …

The main aim of present study is to compare three GIS-based models, namely Dempster–
Shafer (DS), logistic regression (LR) and artificial neural network (ANN) models for landslide …

This study proposed a hybrid modeling approach using two methods, support vector
machines and random subspace, to create a novel model named random subspace-based …

Landslides are geological hazards that claim lives and affect socio-economic growth.
Despite increased slope failure, some constructions, such as road constructions, are still …

Landslide susceptibility mapping is among the first works for disaster management and land
use planning activities in a mountain area like Ganzhou City. The aims of the current study …

Landslides are the most catastrophic natural disasters that constitute geological,
geomorphological slope instability risks and affects the economy worldwide. The causes of …

Landslide hazard, vulnerability, and risk-zoning maps are considered in the decision-
making process that involves land use/land cover (LULC) planning in disaster-prone areas …

The objective of the study is to show that landslide conditioning factors derived from different
source data give significantly different relative influences on the weight factors derived with …

Landslide susceptibility mapping is a crucial step in comprehensive landslide risk
management. The purpose of the present study is to analyze the landslide susceptibility of …

This study aimed to produce landslide susceptibility maps using frequency ratio (FR) and
evidential belief function (EBF) models based on GIS for Gongliu County, China. For this …