Our understanding of the spatial patterns of landslides in Africa is limited with available
landslide studies typically focusing on only one or a few study areas. Moreover, Africa is …

Landslide hazards have attracted increasing public attention over the past decades due to a
series of catastrophic consequences of landslide occurrence. Thus, the mitigation and …

This study aims to develop two optimized models of landslide susceptibility map** (LSM),
ie, logical regression (LR) and random forest (RF) models, premised on hyperparameter …

As threats of landslide hazards have become gradually more severe in recent decades,
studies on landslide prevention and mitigation have attracted widespread attention in …

Statistical methods are the most popular techniques to model and map flood-prone areas.
Although a wide range of statistical methods have been used, application of the statistical …

This research work deals with the landslide susceptibility assessment using Analytic
hierarchy process (AHP) and information value (IV) methods along a highway road section …

To compare the random forest (RF) model and the frequency ratio (FR) model for landslide
susceptibility map** (LSM), this research selected Yunyang Country as the study area for …

Landslides are natural destructive phenomena that can cause great damage to property and
life loss. One of the fundamental proceedings to reduce the possible damage is identifying …

Landslides are one of the natural disasters that affect socioeconomic wellbeing. Accordingly,
this work aimed to realize a landslide susceptibility map in the coastal district of …

Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …