Slope failure along highways is a crucial problem in hilly regions. Landslide hazard maps
are very efficient and effective tools for planning and management of landslide disasters …

This paper aims to use recurrent neural networks (RNNs) to perform landslide susceptibility
mapping in Yongxin County, China. The two main contributions of this study are summarized …

Flood is the most devastating and prevalent disaster among all-natural disasters. Every year,
flood claims hundreds of human lives and causes damage to the worldwide economy and …

The spatial prediction of landslide susceptibility is an important prerequisite for the analysis
of landslide hazards and risks in any area. This research uses three data mining techniques …

Gully erosion constitutes a serious problem for land degradation in a wide range of
environments. The main objective of this research was to compare the performance of seven …

Gully erosion is one of the most severe environmental problems in large areas of Iran. The
spatial distribution of gully erosion and its susceptibility zonation was studied using different …

Road infrastructure is vital for economic development, connecting various locations.
However, in Morocco, landslides pose recurring challenges to road projects due to factors …

Uatzau basin in northwestern Ethiopia is one of the most landslide-prone regions, which
characterized by frequent high landslide occurrences causing damages in farmlands, non …

Since landslide detection using the combination of AIRSAR data and GIS-based
susceptibility mapping has been rarely conducted in tropical environments, the aim of this …

This study assesses forest-fire susceptibility (FFS) in Fars Province, Iran using three
geographic information system (GIS)-based machine-learning algorithms: boosted …