Occurrence of rainfall‐induced landslides is increasing worldwide, owing to land use and
climate changes. Although the connection between hydrology and rainfall‐induced …

Recent advances in the diversity and systematization of design methods and real-time data
have led to a general elevation in spatio-temporal accuracy for regional landslide early …

The reservoir landslides are characterized by repeated phases of acceleration and
isokinetic deformation under long-term periodic external forces. The state-of-the-art research …

This study proposes an innovative approach to develop a regional-scale landslide
forecasting model based on rainfall thresholds optimized for operational early warning. In …

Landslide susceptibility assessment using machine learning models is a popular and
consolidated approach worldwide. The main constraint of susceptibility maps is that they are …

Abstract People-Centered Early Warning Systems (PCEWSs) is thought to be low-cost but
effective, however, existing studies fail to discuss the basic characteristics of PCEWSs, how …

A combined method was developed to forecast the spatial and the temporal probability of
occurrence of rainfall-induced shallow landslides over large areas. The method also …

Highlights Based on the dynamical principle and the time–frequency domain analysis
method, the FAPMIM is developed. The index change of rock mass damage is analyzed …

The Gloria storm rainfalls affected Catalonia from 20 to 23 January 2020 and triggered
multiple landslides, some of which affected buildings and infrastructures (such as roads and …

The Lueyang and Xunyang counties in the Shaanxi province (China) are highly susceptible
to rainfall-induced landslides. Rainfall thresholds are the most used tool to predict the …