Landslides represent major natural hazards, which cause every year significant loss of lives
and damages to buildings, properties and lifelines. In the last decades, a significant increase …

Rainfall triggered landslides occur in all mountain ranges posing threats to people and the
environment. Given the projected climate changes, the risk posed by landslides is expected …

Determining the time, location, and severity of natural disaster impacts is fundamental to
formulating mitigation strategies, appropriate and timely responses, and robust recovery …

This paper introduces three machine learning (ML) algorithms, the 'ensemble'Random
Forest (RF), the 'ensemble'Gradient Boosted Regression Tree (GBRT) and the MultiLayer …

Shaanxi Province, located in northwest China and spanning multiple hydroclimatic and
geological zones, has many areas largely suffering from rainfall-induced landslide and …

The logistic regression (LR) method was applied to assess landslide susceptibility in the
northern Yueqing of Zhejiang Province, China. An inventory map of 323 landslides, digital …

Natural terrain landslides are mainly triggered by rainstorms in Hong Kong, which pose
great threats to life and property. To mitigate landslide risk, building a prediction model …

Extreme rainfall events within landslide-prone areas can be catastrophic, resulting in loss of
property, infrastructure, and life. A global Landslide Hazard Assessment for Situational …

In recent years, physically-based numerical models have frequently been used in the
framework of early-warning systems devoted to rainfall-induced landslide hazard monitoring …

The increasing availability of remotely sensed data offers a new opportunity to address
landslide hazard assessment at larger spatial scales. A prototype global satellite-based …