Preventing/mitigating natural disasters in urban areas can indirectly be part of the 17
sustainable economic and social development intentions according to the United Nations in …

Landslide susceptibility assessment is crucial in predicting landslide occurrence and
potential risks. However, traditional methods usually emphasize on larger regions of …

The use of vegetation as a Nature-based Solution (NbS) for shallow landslide risk reduction
is receiving increased attention in the scientific community. Vegetation can contribute to …

Abstract Machine learning algorithms are an important measure with which to perform
landslide susceptibility assessments, but most studies use GIS-based classification methods …

There is no doubt that land cover and climate changes have consequences on landslide
activity, but it is still an open issue to assess and quantify their impacts. Wanzhou County in …

It is widely accepted that future environmental changes will affect rainfall-induced shallow
slides in high-mountain areas. In this study, the Val d'Aran region located in the Central …

The aim of this study is to investigate the impacts of the sampling strategy of landslide and
non-landslide on the performance of landslide susceptibility assessment (LSA). The study …

Different types of landslides exhibit distinct relationships with environmental conditioning
factors. Therefore, in regions where multiple types of landslides coexist, it is required to …

Landslide detection and susceptibility map** are crucial in risk management and urban
planning. Constant advance in digital elevation models accuracy and availability, the …

Shallow slope failures triggered by rainfall commonly pose considerable risks in
mountainous areas. In order to delineate areas where landslides are more prone to occur …