Application of GIS technologies and monitoring and forecasting of plant hazardous territories of the Kyrgyz Republic

This article discusses the prediction of landslide-prone areas in the Kyrgyz Republic. The main goal of the study is to monitor and predict landslide processes using geographic information systems (GIS) data. The research used satellite imagery, aerial photography and field surveys to collect data, and developed a digital view model using ArcMap, Agisoft Metashape and Flow-R software. Based on the spatial analysis, zonal risk maps were created that included key factors contributing to landslides, as GIS technologies greatly improve landslide prediction and prevention. The results obtained meet the requirements of a practical innovation for local governments and can ensure the prevention of serious landslide consequences. Continuous work on the system and regular updating of information to change the accuracy of the “Detchi” forecasts effectively use resource resources and reduce vulnerabilities, which leads to disasters. Therefore, the use of GIS technologies to identify and predict areas of constantly developing landslides in Kyrgyzstan is not only relevant, but also an important factor for increasing the country’s resilience to major risks and ensuring the safety of the population. Forecasting and monitoring of dynamic landslide zones makes it possible to more accurately assess risks and develop an effective management strategy.