Landslides are an important natural hazard that causes a great amount of damage around
the world every year, especially during the rainy season. The Lianhua area is located in the …

Rainfall-induced shallow landslides can seriously affect cultivations and infrastructures and
cause human losses. A continuous monitoring of unsaturated soil hydrological properties is …

Landslide susceptibility mapping is among the first works for disaster management and land
use planning activities in a mountain area like Ganzhou City. The aims of the current study …

Landslides cause fatalities, widespread damages and economic losses. Quite frequently,
they are triggered by rainfall. Many studies have investigated the relationships between …

Landslide susceptibility mapping is considered to be a prerequisite for landslide prevention
and mitigation. However, delineating the spatial occurrence pattern of the landslide remains …

The objective of this study is to investigate different ensemble learning techniques namely
Bagging, Boosting, and Stacking for LSM at the Jinping county, Southwest China. Two well …

A novel machine learning ensemble model that is a hybridization of Bagging and random
subspace–based naïve Bayes tree (RSNBtree), named as BRSNBtree, was used to prepare …

Landslide susceptibility assessment over large areas is considered a preliminary step for the
planning or design of the most appropriate risk mitigation measures. The use of physically …

Landslides are a significant geological hazard that annually cause extensive damage and
loss of life worldwide. Therefore, it is crucial to have reliable prediction models for landslide …

The importance of rainfall patterns in triggering landslides has been recognized worldwide.
In this study, the triggering and evolution of rainfall-induced landslides were investigated by …