Upon the introduction of machine learning (ML) and its variants, in the form that we know
today, to the landslide community, many studies have been carried out to explore the …

Large earthquakes initiate chains of surface processes that last much longer than the brief
moments of strong shaking. Most moderate‐and large‐magnitude earthquakes trigger …

Rainfall-induced landslide hazard warning, which refers to the prediction of the spatial-
temporal probability of landslide occurrence in a certain area under the conditions of …

The design, implementation, management, and verification of landslide early warning
systems (LEWSs) are gaining increasing attention in the literature and among government …

In some studies on landslide susceptibility mapping (LSM), landslide boundary and spatial
shape characteristics have been expressed in the form of points or circles in the landslide …

Rainfall triggered landslides occur in all mountain ranges posing threats to people and the
environment. Given the projected climate changes, the risk posed by landslides is expected …

Landslides are one of the most devastating and recurring natural disasters and have
affected several mountainous regions across the globe. The Indian Himalayan region is no …

There is no doubt that land cover and climate changes have consequences on landslide
activity, but it is still an open issue to assess and quantify their impacts. Wanzhou County in …

(目的) 提高降雨型滑坡危险性预警精度和空间辨识度具有重要意义.(方法)
本文以江西宁都县1980~ 2001 年156 个降6 雨型滑坡为例, 首先基于传统的EE-D …

Hydroclimatic changes associated with global warming over the past 50 years have been
documented widely, but physical landscape responses are poorly understood thus far …