The interplay between climate change–induced extreme rainfall and slope failure
mechanisms presents a significant challenge. To address this, a new temporal modeling of …

Crafting landslide susceptibility mapping is pivotal for the effective management of landslide
risks. However, the influence of non-landslide sample selection on the modeling …

This paper presents the implementation of a slope stability method for rainfall-induced
shallow landslides in CRITERIA-1D, which is an agro-hydrological model based on …

The occurrence of rainfall-induced slope failures has become more frequent due to the effect
of climate change. Hence, various studies have been conducted to analyse the effect of …

This study aims to explore the effects of different non-landslide sampling strategies on
machine learning models in landslide susceptibility mapping. Non-landslide samples are …

The susceptibility mapping of rainfall-induced landslides is an effective tool for predicting
and locating disaster-prone zones at the regional scale. One of the most important parts of …

Most regional landslide susceptibility models do not consider the evolving soil hydrological
conditions leading up to a multiple occurrence regional landslide event. This results in …

A very large percentage of the Italian municipalities is exposed to landslides, floods, and/or
coastal erosion, according to the 2021 edition of the Report on hydrogeological instability in …

The inherent uncertainty in hydro-geotechnical parameters presents a significant challenge
for accurately predicting rainfall-triggered shallow landslides in mountainous regions. In this …

The rapid movement and extensive displacement of gravel-silty clay landslides result in
significant property damage and loss. Following the destabilization of the Shaziba landslide …