强震诱发的滑坡具有数量多, 分布广, 规模大等特点, 严重威胁人民生命财产安全.
滑坡易发性评价能够快速预测灾害空间分布, 对于减轻震后灾害的危险性具有重要意义 …

The main aim of the present study is to explore and compare three state-of-the art data
mining techniques, best-first decision tree, random forest, and naïve Bayes tree, for landslide …

In recent years, landslide susceptibility mapping has substantially improved with advances
in machine learning. However, there are still challenges remain in landslide mapping due to …

Earthquake-triggered landslides frequently occur in active mountain areas, which poses
great threats to the safety of human lives and public infrastructures. Fast and accurate …

Regional landslide identification is important for the risk management of landslide hazards.
The traditional methods of regional landslide identification were mainly conducted by a …

Landforms are an important element of natural geographical environment, and textures are
the research basis for the spatial differentiation, evolution features, and analysis rules of the …

Using deep learning-based object detection algorithms for landslide hazards detection is
very popular and effective. However, most existing algorithms are designed for landslides in …

Gully headcuts are due to erosion generated by concentrated overland flow, non-uniform
infiltration, the presence of impermeable sub-surface soil layers, and a hydraulic gradient. It …

A precise, accurate and complete landslide inventory is indispensable for the establishment
of reliable landslide susceptibility and hazard maps. In the preparation of landslide …

The main purpose of this study was to apply the novel bivariate weights-of-evidence-based
SysFor (SF) for landslide susceptibility mapping, and two machine learning techniques …