Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …

Permafrost is a sub-ground phenomenon and therefore cannot be directly observed from
space. It is an Essential Climate Variable and associated with climate tipping points. Multi …

This study introduces\textit {Landslide4Sense}, a reference benchmark for landslide
detection from remote sensing. The repository features 3,799 image patches fusing optical …

Earthquakes and heavy rainfalls are the two leading causes of landslides around the world.
Since they often occur across large areas, landslide detection requires rapid and reliable …

Transportation networks are severely affected by natural hazards, including landslides. The
prioritization of maintenance works is required to preserve the efficiency and functionality of …

The recognition and mapping of landslide (RML) is an important task in hazard and risk
research and can provide a scientific basis for the prevention and control of landslide …

Fast and accurate assessment of slope topography and geological information and
understanding of slope deformation evolution are of great significance in emergency …

Landslide susceptibility mapping (LSM) comprehensively evaluates the spatial probability of
landslide occurrence by using different environmental factors. However, most of the …

Efficient and accurate landslide recognition is crucial for disaster prevention and post-
disaster rescue efforts. However, compared to machine learning, deep learning approaches …

Earthquakes can trigger numerous landslides and cause other significant changes in the
landscape over large areas. This study presents a new processing scheme combining radar …