This study performs a GIS-based landslide susceptibility assessment using a convolutional
neural network, CNN, in a study area of the Gorzineh-khil region, northeastern Iran. For this …

Earthquake‐triggered landslides are a significant hazard in seismically active regions, but
our ability to assess the hazard they pose in near‐real‐time is limited. In this study, we …

This study presents a landslide susceptibility assessment for the Caspian forest using
frequency ratio and index of entropy models within geographical information system. First …

Earthquake‐induced landslide (EQIL) inventories are essential tools to extend our
knowledge of the relationship between earthquakes and the landslides they can trigger …

Earthquake-induced landslides (EQILs) are an incredibly destructive geological disaster.
Rapid landslide susceptibility assessments are indispensable and critical for risk analysis …

On 20 April 2013, an earthquake with Mw 6.6 (Ms 7.0) hit Lushan County, Sichuan Province
of China (30.3° N, 103° E), only 85 km southwest of the 2008 Wenchuan Mw 7.9 event. The …

The urban area of Yunfu City is a typical mountain environment with the thin surface soil
layer, broken terrain, and the fragile geological environment, which is a landslide hazard …

Landslide phenomena are responsible for significant economic damages, loss of human
lives and irreversible changes in natural environment. In this manuscript, in a landslide …

Rapid assessment of spatial distribution of earthquake-induced landslides could provide
valuable information in the emergency response phase. Previous studies proposed global …

A power‐law relation for the frequency–area distribution (FAD) of medium and large
landslides (eg tens to millions of square meters) has been observed by numerous authors …