The current high rate of urbanization in developing countries and its consequences, like
traffic congestion, slum development, scarcity of resources, and urban heat islands, raise a …

Landslide susceptibility modelling is a crucial tool for implementing effective strategies in
landslide risk mitigation. A plethora of statistical methods is available for generating accurate …

Recently, machine learning models have received huge attention for environmental risk
modeling. One of these applications is landslide susceptibility mapping which is a necessary …

In the mountainous region of Asir region of Saudi Arabia, road construction activities are
closely associated with frequent landslides, posing significant risks to both human life and …

Geohazards pose significant risks to communities and infrastructure, emphasizing the need
for accurate susceptibility assessments to guide land-use planning and hazard …

Abstract The Karakoram Highway (KKH) is a major road traffic route connecting China to
South Asia and the Middle East via Pakistan. Geological hazards occur often in the study …

Landslide susceptibility prediction usually involves the comprehensive analysis of terrain
and other factors that may be distributed with spatial patterns. Without considering the …

The present article explores the link between Normalized Differential Vegetation Index
(NDVI) and Land Surface Temperature (LST) of Dehradun. Over the past 20 years, the study …

Landslide susceptibility prediction mapping plays an imperative role in hazard mitigation by
prioritizing areas for intervention and implementing effective risk reduction measures …

A landslide is a hazardous phenomenon that occurs when the particulate matter of the
earth's surface shifts towards the gravitational pull of the earth, which can lead to loss of life …