This thesis addresses the issue of low-level flight, which poses significant risks due to proximity to terrain and the difficulty of detecting obstacles. Existing data sources, such as NOTAM notices and classic aeronautical charts, are often not sufficiently clear for rapid detection and effective visualization. Various types of obstacles are presented, and potential conflicts with unmanned aerial vehicles are also discussed. A methodology for selecting obstacles was used based on predefined criteria, such as a height above 30 m, relevance for low-altitude flight, and potential hazard to aircrafts. Methods of classification, verification, and visualization of obstacles were also applied. The aeronautical chart was designed using the Python programming language and the PostgreSQL database. The result of the thesis is a successfully designed web application that includes an interactive map and a form for adding new obstacles, with verification of submitted data considered. It was found that interactive visualization improves obstacle detection and contributes to enhanced situational awareness and pilot safety.
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