It has been 15 years since the catastrophic 2005 Kashmir Mw 7.6 earthquake induced
thousands of landslides in northern Pakistan and Kashmir. There have been many studies …

Predictive capability of landslide susceptibilities is assumed to be varied with different
sampling techniques, such as (a) the landslide scarp centroid,(b) centroid of landslide …

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

Strong earthquakes, especially on mountain slopes, can generate large amounts of
unconsolidated deposits, prone to remobilization by aftershocks and rainstorms. Assessing …

This work was to generate landslide susceptibility maps for the Three Gorges Reservoir
(TGR) area, China by using different machine learning models. Three advanced machine …

The Wenchuan earthquake triggered numerous landslides and damaged vast areas of
vegetation. Strong mountain earthquakes have long-term impacts on the activities of …

We provide two datasets for tracking the debris flow induced by the 2008 Wenchuan Mw 7.9
earthquake on a section of the Longmen mountains on the eastern side of the Tibetan …

Reliable landslide susceptibility mapping (LSM) is essential for disaster prevention and
mitigation. This study develops a deep learning framework that integrates spatial response …

Modern satellite networks with rapid image acquisition cycles allow for near-real-time
imaging of areas impacted by natural hazards such as mass wasting, flooding, and volcanic …

The rainfall can contribute significantly to landslide events, especially in hilly areas. The
landslide susceptibility map (LSM) usually helps to mitigate disasters. However, how to …