Landslide extraction is one of the most popular topics in remote sensing. Numerous
techniques have been proposed to manage the landslide identification problem. However …

Large deep-seated landslides can be reactivated during intense events, and they can
evolve into destructive failures. They are generally difficult to recognize in the field …

Accurate and automatic landslide detection plays a vital role in keeping abreast of disaster
situations and supporting rescue-related decision-making. Currently, deep learning has …

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

The geometry of the bedrock, internal layers and slip surfaces control the deformation
pattern and the mechanisms of landslides. A challenge to progress in understanding …

Landslide traces are crucial geomorphological features of landslides. Through the
recognition of landslide traces, a better grasp of the topographical features of landslides can …

Tropical mountainous regions are often identified as landslide hotspots with growing
population pressure. Anthropogenic factors are assumed to play a role in the occurrence of …

Natural hazards include a wide range of high-impact phenomena that affect socioeconomic
and natural systems. Landslides are a natural hazard whose destructive power has caused …

Landslide segmentation on Earth has been a challenging computer vision task, in which the
lack of annotated data or limitation on computational resources has been a major obstacle in …

Many types of maps can be created by neighborhood operations on a continuous surface
such as provided by a digital elevation model. These most commonly include first derivatives …