Inherent hazards such as landslides pose a threat to human life and may inflict significant
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …

The absence of comprehensive risk analysis in residential development within certain
regions often leads to substantial human and material losses during natural disasters. The …

Urbanization, which is defined as an irreversible global-scale problem nowadays,
necessitates the foundation of new settlement areas. In general, no sufficient scientific …

This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …

The Eastern Black Sea Region is regarded as the most prone to landslides in Turkey due to
its geological, geographical, and climatic characteristics. Landslides in this region inflict both …

This study examines the use of snow avalanche susceptibility maps (SASMs) to identify
areas prone to avalanches and develop measures to mitigate the risk in the Province of …

Over the years, landslide has become one of the most destructive events that can happen in
hilly areas. Tehri, a region in the Himalayas is no different. Current research aids in the …

Landslides seriously threaten human life and property. The rapid and accurate prediction of
landslide geological hazard susceptibility is the key to disaster prevention and mitigation …

Landslides are a dangerous natural hazard that can critically harm road infrastructure in
mountainous places, resulting in significant damage and fatalities. The primary purpose of …

This study evaluates the reliability of merged satellite precipitation products based on single
machine learning (SML) and double machine learning (DML) algorithms to estimate …