In recent decades, global warming has significantly altered both the spatial and temporal
distribution of rainfall patterns. This change has heightened the risk of rainfall-induced …

Rainfall-induced shallow landslides are expected to increase due to more intense
precipitation linked to climate change. This study aims to develop an effective pixel-based …

The current study sets out to explore yearly landslide susceptibility dynamics on slopes
regularly affected by fires. To do so, two yearly inventories have been generated, one for the …

Amidst the intensifying global climate change, the increasing frequency of extreme
precipitation events poses significant challenges to natural ecosystems and human …

Landslide spatial prediction studies predominantly focus on estimating the likelihood of
landslide occurrence by considering a set of geo-environmental factors. Nevertheless, most …

In statistical applications, choosing a suitable data distribution or likelihood that matches the
nature of the response variable is required. To spatially predict the planimetric area of a …

Global warming is expected to exacerbate extreme rainfall events, potentially increasing the
risk of landslides. While landslides have been extensively studied, much of the focus has …

Petrópolis, located in the mountainous region of Rio de Janeiro, Brazil, is frequently
impacted by severe landslides, exacerbated by intense rainfall, steep topography, and …

Virtual reality (VR) is a promising new educational and training tool in the field of disaster
and emergency management, especially for hazards that are not frequent or well known to …

The investigation of virtual reality (VR) technology for modelling and visualizing landslides,
or geohazards in general, has garnered increasing attention in studies over the past …