Abstract The WHO (World Health Organization) study reports that, between 1998-2017, 4.8
million people have been affected by landslides with more than 18000 deaths. The …

As artificial intelligence (AI) techniques are becoming more popular in landslide modeling, it
is important to understand how decisions are made. Fairness, and transparency becomes …

Predicting landslides is becoming a crucial global challenge for sustainable development in
mountainous areas. This research compares the landslide susceptibility maps (LSMs) …

Karakoram Highway (KKH) is an international route connecting South Asia with Central Asia
and China that holds socio-economic and strategic significance. However, KKH has extreme …

Landslides are a common geological hazard causing impairment of public works and loss of
lives worldwide and in India, especially in the Himalayan region. The present study aims to …

Landslides, the second largest geological hazard after earthquakes, result in significant loss
of life and property. Extracting landslide information quickly and accurately is the basis of …

The current study aimed at producing a multi-hazard susceptibility map for the Hasher-Fayfa
Basin. The basin is part of the Jazan region in southwestern Saudi Arabia and is …

The accurate prediction of surface subsidence induced by coal mining is critical to
safeguarding the environment and resources. However, the precision of current prediction …

Groundwater dynamics caused by extraction and recharge are one of the primary causes of
subsidence in the urban environment. Lahore is the second largest metropolitan city in …

Land subsidence is a major concern in vastly growing metropolitans worldwide. The most
serious risks in this scenario are linked to groundwater extraction and urban development …