The mountainous regions of Kazakhstan are characterized by active hazardous processes, and in densely populated areas they pose a high risk of human and material losses. The most representative approach to studying local landslides is the combined use of traditional field surveys, remote sensing, and GIS methods. This paper presents the results of a field survey in Tekeli region, followed by a landslide risk assessment using GIS-based mapping and remote sensing data, and the development of short- and long-term protective recommendations. The investigation incorporated geological, geomorphological, and meteorological data, satellite imagery, open global datasets, and a retrospective analysis of past landslide events, which were validated through fieldwork. Orthophoto imagery was obtained using unmanned aerial vehicles (UAVs), while local residents and municipal officials were interviewed. Soil samples were collected in high-risk areas with visible cracks in detachment zones for granulometric analysis. The landslide risk assessment methodology draws on international best practices in the study of hazardous processes. The final outcome is a table consolidating protective recommendations for each landslide-prone site.
Blagovechshenskiy et al. (Fri,) studied this question.