Rockfall poses risk to people, their properties and to transportation ways in mountainous
and hilly regions. This catastrophe shows various characteristics such as vast distribution …

Remote sensing (RS) techniques are essential for studying hazardous landslide events
because they capture information and monitor sites at scale. They enable analyzing causes …

A detailed and state-of-the-art landslide inventory map including precise landslide location
is greatly required for landslide susceptibility, hazard, and risk assessments. Traditional …

Many automatic landslide detection algorithms are based on supervised classification of
various remote sensing (RS) data, particularly satellite images and digital elevation models …

Landslides are natural disasters that cause environmental and infrastructure damage
worldwide. They are difficult to be recognized, particularly in densely vegetated regions of …

The rising machine learning (ML) models have become the preferred way for landslide
detection based on remote sensing images, but the performance of these models in a …

Slope movement, the surface expressions as seated scars are the variety of surface
deformation mechanisms on the earth's outer crust. These slow-deformation mechanisms …

This study proposes a new landslide detection technique that is semi-automated and based
on a saliency enhancement approach. Unlike most of the landslide detection techniques, the …

Landslide is a natural hazard that threats lives and properties in many areas around the
world. Landslides are difficult to recognize, particularly in rainforest regions. Thus, an …

Forests are of vital importance in maintaining the balance of ecosystems, and accurate forest
cover maps provide basic data for research. Existing forest cover products suffer from …