SIMULATION MODELING OF AREA USING IMAGERY

Author(s): Tsvetkov V.Ya.

Rubric: System analysis, information management and processing

DOI: 10.21777/2500-2112-2026-3-131-138

Release: 2026-3 (56)

Pages: 131-138

Keywords: areal model, surface, discrete area, Monte Carlo method, convergence of proportions, areal area, calculation error

Annotation: The article proposes a new approach for assessing the area of dynamic or hard-to-reach territories on the Earth’s surface. Such areas are difficult or impossible to identify using ground-based measurements due to changing conditions. The cause of such areas may be flooding, wind erosion, coastal abrasion, and emissions of harmful substances. Formally, the area calculation model employs the Monte Carlo method and a specialized division of areal zones. However, the key distinction of the proposed approach is that the area is determined not by the absolute number of random points, but by the proportional ratio of point counts between the reference image and the target area. The areas are described using digital models derived fr om unmanned aerial vehicle (UAV) imagery, which enables the delineation of area boundaries. An additional condition is the introduction of a reference object with a known area. Comparing the target area with the reference makes it possible to derive proportions from the images, which are then used to estimate the actual area. The results show that proportional convergence outperforms the convergence of discrete areas in terms of both absolute and relative error. When a reference object of known area is available, full-scale geometric surface reconstruction becomes unnecessary. The proposed concept of relative measurement through a reference object may be particularly useful in cases wh ere geometric image registration is challenging, yet the target area and the reference can still be reliably identified.

Bibliography: Tsvetkov V.Ya. SIMULATION MODELING OF AREA USING IMAGERY // Education Resources and Technologies. – 2026. – № 3 (56). – С. 131-138. doi: 10.21777/2500-2112-2026-3-131-138