Landslides are a major natural hazard that can significantly damage infrastructure and
cause loss of life. In South Korea, the current landslide susceptibility mapping (LSM) …

Reliable landslide susceptibility mapping (LSM) is essential for disaster prevention and
mitigation. This study develops a deep learning framework that integrates spatial response …

Landslide is a devastating natural disaster, causing loss of life and property. It is likely to
occur more frequently due to increasing urbanization, deforestation, and climate change …

Landslide susceptibility mapping (LSM) has been widely used as an important reference for
development and construction planning to mitigate the potential social‐eco impact caused …

With the increasing computational facilities and data availability, machine learning (ML)
models are gaining wide attention in landslide modeling. This study evaluates the effect of …

Landslides are devastating natural disasters that seriously threaten human life and property.
Landslide susceptibility mapping (LSM) plays a key role in landslide hazard management …

Integration of different models may improve the performance of landslide susceptibility
assessment, but few studies have tested it. The present study aims at exploring the way to …

Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide
hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM …

Landslide susceptibility maps (LSMs) are very crucial for planning policies in hazardous
areas. However, the accuracy and reliability of LSMs depend on available data and the …

The primary aim of this research paper is to develop an easy-to-use tool package called
Landslide Susceptibility Mapping Tool Pack (LSM Tool Pack) for producing landslide …