Landslide susceptibility assessment is highly valuable for disaster prevention and mitigation.
This study utilized the aspects of data and content to comprehensively examine the research …

Landslides are a major geohazard in hilly and mountainous environments. In-situ inspection
of downslope motion is costly, sometimes dangerous and, requires prior knowledge of the …

This paper describes a novel methodology where Machine Learning Algorithms (MLAs)
have been integrated to assess the landslide risk for slow moving mass movements …

Precise monitoring of floods is significant in disaster management and loss reduction;
however, remote sensing data resource and methods can largely affect the monitoring …

Landslides are the most catastrophic geological hazard in hilly areas. The present work
intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern …

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

The Ardabil plain, with an approximate area of 1097.2 km2 in northwestern Iran, has
experienced land subsidence due to intensive groundwater withdrawal and long seasons of …

Landslide susceptibility analysis at the regional scale is the focus of landslide risk
management. To obtain more accurate and guiding significance results of landslide …

In the InSAR solution, the uneven distribution of permanent scatterer candidates (PSCs) or
slowly decoherent filtering phase (SDFP) pixel density in a region of variable radar reflection …

Landslide classification and identification along Karakorum Highway (KKH) is still
challenging due to constraints of proposed approaches, harsh environment, detail analysis …