In this paper, we do a critical review of statistical methods for landslide susceptibility
modelling and associated terrain zonations. Landslide susceptibility is the likelihood of a …

Warming of the Earth climate system is unequivocal. That climate changes affect the stability
of natural and engineered slopes and have consequences on landslides, is also …

Landslides are a ubiquitous hazard in terrestrial environments with slopes, incurring human
fatalities in urban settlements, along transport corridors and at sites of rural industry …

Decision tree-based classifier ensemble methods are a machine learning (ML) technique
that combines several tree models to produce an effective or optimum predictive model, and …

This study developed a deep learning based technique for the assessment of landslide
susceptibility through a one-dimensional convolutional network (1D-CNN) and Bayesian …

Landslide occurrence has become increasingly influenced by human activities. Accordingly,
changing land use and land cover (LULC) is an important conditioning factor in landslide …

This paper presents recommended methodologies for the quantitative analysis of landslide
hazard, vulnerability and risk at different spatial scales (site-specific, local, regional and …

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 …

Simada area is found in the South Gondar Zone of Amhara National Regional State and it is
780Km far from Addis Ababa. Physiographically, it is part of the northwestern highlands of …

Determining the time, location, and severity of natural disaster impacts is fundamental to
formulating mitigation strategies, appropriate and timely responses, and robust recovery …