Abstract
This article presents a study of a slow-moving landslide in the Kaskelen River valley (Ile Alatau, Kazakhstan), which poses a threat to local infrastructure and a dacha settlement. The investigation was conducted using data obtained from an unmanned aerial vehicle (UAV). High-precision digital elevation models were used to analyze the morphometric characteristics of the landslide, identify deformation zones, and calculate slope stability parameters. The landslide occurs in loess-like loams that lose strength when saturated with water, with a maximum recorded displacement rate of up to 59 cm per year. Stability coefficient calculations indicated critical conditions in areas with slopes greater than 15°. Monitoring using global navigation satellite systems (GNSS) is recommended, along with engineering measures such as drainage systems and geogrid reinforcement. The findings highlight the importance of integrating UAV technologies with traditional field methods for effective landslide risk assessment in mountainous regions.