Landslide susceptibility shows the spatial likelihood of landslide occurrence in a specific
geographical area and is a relevant tool for mitigating the impact of landslides worldwide. As …

The majority of landslide susceptibility and hazard zonations are implemented with statistical
methods, especially on large scales: mostly because the data needed for physical …

The geoscientific community primarily focuses on predicting where landslides are likely to
occur through data-driven susceptibility models. Recently, few researchers have turned to …

Extreme rainfall events represent one of the main triggers of landslides. As climate change
continues to reshape global weather patterns, the frequency and intensity of such events are …

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 …

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 …

Hydro-morphological processes (HMP, any natural phenomenon contained within the
spectrum defined between debris flows and flash floods) are globally occurring natural …

Landslide susceptibility maps serve as the basis for hazard and risk assessment, as well as
risk-informed land use planning at various spatial scales. Researchers create these maps …

Satellite-derived high-resolution soil moisture and precipitation data have become widely
adopted in natural hazard and climate change research. Landslide susceptibility mapping …

In this chapter, we illustrate the use of split bulk-tail models and subasymptotic models
motivated by extreme-value theory in the context of hazard assessment for earthquake …