In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …

The design, implementation, management, and verification of landslide early warning
systems (LEWSs) are gaining increasing attention in the literature and among government …

Landslide is one of the repeated geological hazards during rainy season, which causes
fatalities, damage to property and economic losses in Korea. Landslides are responsible for …

Among the many mitigation measures available for reducing the risk to life related to
landslides, early warning systems certainly constitute a significant option available to the …

The large physiographic variability and the abundance of landslide and rainfall data make
Italy an ideal site to investigate variations in the rainfall conditions that can result in rainfall …

Empirical rainfall thresholds are tools to forecast the possible occurrence of rainfall-induced
shallow landslides. Accurate prediction of landslide occurrence requires reliable thresholds …

A process chain for the definition and the performance assessment of an operational
regional warning model for rainfall-induced landslides, based on rainfall thresholds, is …

Satellite rainfall products have been available for many years (since'90) with an increasing
spatial/temporal resolution and accuracy. Their global scale coverage and near real-time …

With the advancements of technology in the era of Big Data and artificial intelligence,
Internet of Things (IoT) has a major role for the purpose of monitoring natural disasters like …

In response to the sharp increase in geological disasters resulting from localized extreme
rainfall events in Korea, a landslide early warning methodology is proposed. The method is …