In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …

Landslides are present in all continents, and play an important role in the evolution of
landscapes. They also represent a serious hazard in many areas of the world. Despite their …

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 …

This paper presents a short history of the appraisal of laser scanner technologies in
geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) …

Landslides are among the most harmful natural hazards for human beings. This study aims
to delineate landslide hazard zones in the Darjeeling and Kalimpong districts of West …

Landslide mapping is the primary step for landslide investigation and prevention. At present,
both the accuracy and the degree of automation of landslide mapping with remote sensing …

Abstract The Three Gorges region of central western China is one of the most landslide-
prone regions in the world. However, landslide detection based on field surveys and optical …

With the combined effects of climate change and anthropogenic disturbance, landslide
hazards have progressively increased and emerged as one of the most significant natural …

For identification of forested landslides, most studies focus on knowledge-based and pixel-
based analysis (PBA) of LiDar data, while few studies have examined (semi-) automated …

In contrast to the many studies that use expert-based analysis of LiDAR derivatives for
landslide mapping in forested terrain, only few studies have attempted to develop (semi-) …