The design, implementation, management, and verification of landslide early warning
systems (LEWSs) are gaining increasing attention in the literature and among government …

Cities, and in particular those in coastal low-lying areas, are becoming increasingly
susceptible to climate change, the impact of which is worsened by the tendency for …

Low-lying Bangladesh is known as one of the most flood-prone countries in the world.
During the last few decades, the frequency, intensity, and duration of floods have increased …

The frequency of landslides and related economic and environmental damage has
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …

The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …

Abstract The Indian Himalayan region is highly susceptible to landslides because of its
complex geology, rugged topography, steep slopes augmented by seismo-tectonic activities …

The accuracy and quality of the landslide susceptibility map depend on the available
landslide locations and the sampling strategy for absence data (non-landslide locations). In …

The paper examines how local-level institutions mitigate landslide hazards in southeast
Bangladesh. In this context, sixteen sub-districts (Upazila) were selected as sample sites …

Soil erosion (SE) provides slide mass sources for landslide formation, and reflects long-term
rainfall erosion destruction of landslides. Therefore, it is possible to obtain more reliable …

This study evaluates and compares three machine learning models: K-Nearest Neighbour
(KNN), Random Forest (RF) and Extreme Gradient Boosting (XGBoost) for landslide …