Natural hazards are diverse and uneven in time and space, therefore, understanding its
complexity is key to save human lives and conserve natural ecosystems. Reducing the …

Disastrous natural hazards, such as landslides, floods, and forest fires cause a serious
threat to natural resources, assets and human lives. Consequently, landslide risk …

Performing the most up-to-date and accurate vulnerability assessment is key to an effective
earthquake disaster management. In cities like Istanbul (Turkey) with a high rate of urban …

The choice of the proper resolution in landslide susceptibility mapping is a worth
considering issue. If, on the one hand, a coarse spatial resolution may describe the terrain …

The problem of incomplete data matrices is repeatedly found in large databases, posing a
significant obstacle for an effective treatment of data. This paper examines a self-organizing …

Landslide prediction is one of the complicated topics recognized by the global scientific
community. The research on landslide susceptibility prediction is vitally important to mitigate …

The increased use of complex and holistic modelling for multi-hazard analysis is in sharp
contrast with a lacuna in hazard analysis in equatorial Africa. This study aims to increase …

In steep wildfire-burned terrains, intense rainfall can produce large runoff that can trigger
highly destructive debris flows. However, the ability to accurately characterize and forecast …

“Learning algorithms” are a class of computational tool designed to infer information from a
data set, and then apply that information predictively. They are particularly well suited to …

The opening and spreading of the Atlantic Ocean between Africa and South America
evolved during the Early Cretaceous and were preceded by dramatic tholeiitic (mafic) …