Landslide susceptibility shows the spatial likelihood of landslide occurrence in a specific
geographical area and is a relevant tool for mitigating the impact of landslides worldwide. As …

Landslide is a complex natural hazard that sometimes causes disaster resulting in loss of
life, assets and infrastructure, especially in the Himalayas. Recent studies suggest that for …

Landslide susceptibility prediction (LSP) is significantly affected by the uncertainty issue of
landslide related conditioning factor selection. However, most of literature only performs …

Shallow landslides are destructive hazards and play an important role in landscape
processes. The purpose of this paper is to evaluate the shallow landslide susceptibility and …

An important non-structural solution in flood management is susceptibility mapping, which
identifies the likelihood of flood occurrence in an area. Although various models have been …

Landslides are among the most devastating natural disasters worldwide. Landslide
susceptibility mapping (LSM) is a scientific approach for assessing landslides-prone areas …

Most previous studies of landslide susceptibility mapping (LSM) have not contemplated
spatial heterogeneity and the commonly used models for LSM are aspatial, which could …

The power network has a long transmission span and passes through wide areas with
complex topography setting and various human engineering activities. They lead to frequent …

Landslides are one of the common natural disasters involving mostly movement of soil
surfaces associated with gravitational attraction. Their adverse losses and significant …

In recent years, numerous landslide susceptibility assessment studies using conventional
machine learning models have been carried out, and a series of achievements have been …