Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …

This paper includes a critical review of the existing literature on the use of satellite SAR
imagery for subsidence analysis. Land subsidence, related to multiple natural and human …

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 …

Recent landslide detection studies have focused on pixel-based deep learning (DL)
approaches. In contrast, intuitive annotation of landslides from satellite imagery is based on …

Earthquakes and heavy rainfalls are the two leading causes of landslides around the world.
Since they often occur across large areas, landslide detection requires rapid and reliable …

The eastern Mediterranean region is a vital hub for oil transportation and production
because of its strategic location between Europe, Asia, and Africa. But its unique attributes …

Landslide hazards have significant social, economic, and environmental impact. This work
provides a critical review of the main existing literature using satellite data for map** …

Natural disasters always have a damaging effect on our way of life. Landslides cause
serious damage to both human and natural resources around the world. In this paper, the …

Multiple landslide events are common around the globe. They can cause severe damage to
both human lives and infrastructures. Although a huge quantity of research has been …

Deep learning and remote sensing techniques have significantly advanced water surface
monitoring; however, the need for annotated data remains a challenge. This is particularly …