Rainfall and earthquake-induced landslide susceptibility assessment using GIS and Artificial Neural Network [PDF]
, 2012 A GIS-based method for the assessment of landslide susceptibility in a selected area of Qingchuan County in China is proposed by using the back-propagation Artificial Neural Network model (ANN).
C. Tang +4 more
core +1 more source
Development of Landslide Warning System [PDF]
, 2019 Landslides cause approximately 25 to 50 deaths and US$1 - 2 billion worth of damage in the United States annually. They can be triggered by humans or by nature.
Riad, Beshoy, Zhang, Xiong
core
Soil erosion in the Alps : causes and risk assessment [PDF]
, 2010 The issue of soil erosion in the Alps has long been neglected due to the low economic value of the agricultural land. However, soil stability is a key parameter which affects ecosystem services like slope stability, water budgets (drinking water ...
Meusburger, Katrin
core +1 more source
Study of rainfall-induced landslide: a review
IOP Conference Series: Earth and Environmental Science, 2018 Rainfall-induced landslides pose a substantial risk to people and infrastructure. For this reason, there have been numerous studies to understand the landslide mechanism. Most of them were performed on the numerical analysis and laboratory experiment.
openaire +1 more source
Inventory of Landslides Triggered by Heavy Rainfall in Fuling District, Chongqing, China, June 2019
Geoscience Data Journal, Volume 13, Issue 2, April 2026.This study established a comprehensive landslide database triggered by a single rainfall event in Fuling District, Chongqing, China, to improve the accuracy of landslide prediction and early warning models. It provides scientific data support for disaster prevention and reduction in the study area.
Xue Zhiwen +10 more
wiley +1 more source
Applied Sciences, 2017 Landslide monitoring and early warning systems are the most successful countermeasures to reduce fatalities and economic losses from landslide hazards. The traditional strategies such as GPS and extensometers are relatively expensive and difficult to be ...
Zongji Yang +6 more
doaj +1 more source
Evaluation of influences of forest cover change on landslides by comparing rainfall-induced landslides in Japanese artificial forests with different ages. [PDF]
Sci Rep, 2023 Sato T, Katsuki Y, Shuin Y.
europepmc +1 more source
Estimating Mediterranean Cyclone Activity via Explainable Machine Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Intense cyclones in the Mediterranean drive most of the region's rainfall and wind‐wave extremes, exerting a significant socio‐economic impact. Currently there are no established analytical tools for estimating Mediterranean cyclone activity from climatological fields.
Guido Ascenso +5 more
wiley +1 more source
Experimental Study on the Relationship between the Velocity of Surface Movements and Tilting Rate in Pre-Failure Stage of Rainfall-Induced Landslides. [PDF]
Sensors (Basel), 2021 Xie J +4 more
europepmc +1 more source
Identification and mapping of recent rainfall-induced landslides using elevation data collected by airborne Lidar [PDF]
, 2007 International audienceA high resolution Digital Elevation Model with a ground resolution of 2 m×2 m (DEM2) was obtained for the Collazzone area, central Umbria, through weighted linear interpolation of elevation points acquired by Airborne Lidar Swath ...
Ardizzone, F. +4 more
core +1 more source