Large earthquakes initiate chains of surface processes that last much longer than the brief
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …

Landslides are natural phenomena that can cause great loss of life and damage to property.
A landslide susceptibility map is a useful tool to help with land management in landslide …

To perform landslide susceptibility prediction (LSP), it is important to select appropriate
map** unit and landslide-related conditioning factors. The efficient and automatic multi …

Landslide identification is critical for risk assessment and mitigation. This paper proposes a
novel machine-learning and deep-learning method to identify natural-terrain landslides …

In some studies on landslide susceptibility map** (LSM), landslide boundary and spatial
shape characteristics have been expressed in the form of points or circles in the landslide …

Map** landslides using automated methods is a challenging task, which is still largely
done using human efforts. Today, the availability of high-resolution EO data products is …

Estimation of landslide susceptibility is still an ongoing requirement for land use
management plans. Here, we proposed two novel intelligence hybrid models that rely on an …

Earthquake-triggered landslides frequently occur in active mountain areas, which poses
great threats to the safety of human lives and public infrastructures. Fast and accurate …

The application of artificial intelligence (AI) and machine learning in geohazard modelling
has been rapidly growing in recent years, a trend that is observed in several research and …

The aim of this study is to investigate the impacts of the sampling strategy of landslide and
non-landslide on the performance of landslide susceptibility assessment (LSA). The study …