Upon the introduction of machine learning (ML) and its variants, in the form that we know
today, to the landslide community, many studies have been carried out to explore the …

Landslides (LS) represent geomorphological processes that can induce changes over time
in the physical, hydrogeological, and mechanical properties of the involved materials. For …

Abstract The Integration of Unmanned Aerial Vehicles (UAVs) into transportation systems
has numerous benefits, ranging from the ability to record real-time data to having high …

This article presents a novel method of landslide detection by exploiting the Mask R-CNN
capability of identifying an object layout by using a pixel-based segmentation, along with …

The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many
applications fields. Most investigated research topics focus on increasing autonomy during …

Landslides are posing a significant global hazard as they occur instantaneously with
devastating consequences. The development of new remote sensing technologies and …

Landslides induced by freeze–thaw processes on grasslands are one of the major
geohazards, and their scale and frequency are increasing as the global warms. Freeze-thaw …

Remote sensing (RS) techniques are essential for studying hazardous landslide events
because they capture information and monitor sites at scale. They enable analyzing causes …

Natural hazards such as landslides impose very high risks to the community and
infrastructures. To mitigate such risk, proper long-term engineering solutions are must …

Considering the complexity of landslide hazards, their manual investigation lacks efficiency
and is time-consuming, especially in high-altitude plateau areas. Therefore, extracting …