Shallow landslide initiation typically results from an interplay of dynamic triggering and
preparatory conditions along with static predisposition factors. While data-driven methods for …

The increasing availability of long-term observational data can lead to the development of
innovative modelling approaches to determine landslide triggering conditions at regional …

The possibility of increased landslide activity as a result of climate change has often been
suggested, but few studies quantify this connection. Here, we present and utilize a workflow …

Drainage basins of the Northern Apennines, particularly in the clayey settings, bear among
the highest rates of landsliding worldwide. A history of major land cover changes has left a …

Earthquake‐induced landslides can record information about the seismic shaking that
generated them. In this study, we present new map**, Light Detection and Ranging …

In recent years, numerous ancient landslides initially triggered by historic earthquakes on
the eastern Tibetan Plateau have been reactivated by fault activity and heavy rainfall …

The curation of seismic data sets is the cornerstone of seismological research and the
starting point of machine-learning applications in seismology. We present a 21-year-long AI …

To comprehensively assess regional landslide hazards, we propose a geospatial approach
that jointly evaluates both the probability of occurrence (susceptibility) and potential …

Deformation law and development trend of post-failure landslides are important in stability
assessments in landslide prone areas. However, research on post-failure landslide behavior …

Although rainfall-triggered landslides are initiated by subsurface hydro-mechanical
processes related to the loading, weakening, and eventual failure of slope materials, most …