Landslide inventories are important for hazard and risk analysis, as well as in facilitating
post-event recovery efforts. However, preparing these inventories is a time-consuming and …

It is challenging to detect landslides automatically and accurately in today's environment, yet
these are essential in preventing and minimizing natural landslide threats. Despite …

Landslide, one of the most critical natural hazards, is caused due to specific compositional
slope movement. In the past decades, due to inflation of urbanized area and climate change …

The deadly threat that landslide has brought about is drawing more and more attention to
analyze the mechanisms of landslides and the relationship between landslides and climate …

Landslides are a dangerous hazard that might have devastating results. Thus, detecting
landslides from satellite images can be significant for various governing authorities. In the …

This study investigates a pixel-based image analysis methodology built on unsupervised
Deep Learning (DL) for rapid landslide detection. The utilized data includes the Minimum …

Event-based landslide inventories are essential sources to broaden our understanding of
the causal relationship between triggering events and the occurring landslides. Moreover …

The tremendous growth of technology in the modern era significantly generates fake images
from the original images. Even the real-time data obtained from the satellites are being …

Against the backdrop of global warming and increased rainfall, the hazards and potential
risks of landslides are increasing. The rapid generation of a landslide inventory is of great …

Landslides occur when masses of rock, earth, and other debris move down a slope. The
slope of an area is directly responsible for the magnitude of the landslide. Being able to …