Detecting and mapping landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …

The province of Chimborazo located in the northern Andes of Ecuador presents many
intrinsic factors, which contribute to the occurrence of mass movements, leaving in many of …

Landslide occurrence in Colombia is very frequent due to its geographical location in the
Andean mountain range, with a very pronounced orography, a significant geological …

Predicting the susceptibility of a specific part of a landslide (SSPL) involves predicting the
likelihood that the part of the landslide (eg, the entire landslide, the source area, or the …

Shallow landslides pose serious threats to human existence and economic development,
especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way …

Landslide displacement prediction has garnered significant recognition as a pivotal
component in realizing successful early warnings and implementing effective control …

Landslides are events that cause great impact in different parts of the world. Their
destructive capacity generates loss of life and considerable economic damage. In this …

Landslide susceptibility prediction (LSP) is the first step to ease landslide disasters with the
application of various machine learning methods. A complete landslide inventory, which is …

Landslides are one of the natural phenomena with more negative impacts on landscape,
natural resources, and human health worldwide. Andean geomorphology, urbanization …

Nowadays, climate change not only leads to riverine floods and flash floods but also to
inland excess water (IEW) inundations and drought due to extreme hydrological processes …