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 …

Landslides are the most destructive geological hazard in the hilly regions. For systematic
landslide mitigation and management, landslide evaluation and hazard zonation is required …

The main goal of this study is to produce landslide susceptibility maps of a landslide-prone
area (Haraz) in Iran by using both fuzzy logic and analytical hierarchy process (AHP) …

The aim of this work is to define reliable susceptibility models for shallow landslides using
Logistic Regression and Random Forests multivariate statistical techniques. The study area …

A new work-flow is proposed to unify the way the community shares Logistic Regression
results for landslide susceptibility purposes. Although Logistic Regression models and …

Landslides represent major natural hazards, which cause every year significant loss of lives
and damages to buildings, properties and lifelines. In the last decades, a significant increase …

Landslide problems are abundant in the mountainous areas of Nepal due to a unique
combination of adverse geological conditions, abundant rainfall and anthropogenic factors …

In recent decades, data-driven landslide susceptibility models (DdLSM), which are based on
statistical or machine learning approaches, have become popular to estimate the relative …

In recent years, growing population and expansion of settlements and life-lines over
hazardous areas have largely increased the impact of natural disasters both in industrialized …

Landslide susceptibility and hazard zoning, and to a lesser extent, landslide risk zoning,
have experienced extensive development during the last few decades. Most of these zoning …