ASSESSMENT OF THE ACCURACY OF THE GEOMETRIC SCHEME OF GCPS WHEN CREATING DSM USING UAV
Kazantseva V.V. Ozhigin D.S. Dolgonosov V.N. Ozhigina S.B. Grossul P.P.
2025National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2025#2025Issue 2110 - 124 pp.
This article is dedicated to studying the aspects of using Unmanned Aerial Vehicles (UAVs) for topographic surveys in production, specifically evaluating the impact of ground control points on the accuracy of generated digital terrain models (DTMs). A comparative analysis was conducted to assess the accuracy of coordinate determination from DJI Mavic 2 Pro drones and DJI Mavic 2 Pro Post Processing Kinematic (PPK) TOPODRONE, which utilizes a multi-frequency Global Navigation Satellite System (GNSS) receiver for precise positioning of image centers. Based on the collected imagery, DTMs were generated using Agisoft Metashape Professional software with different configurations of ground control point placement and density using ground markers. As a result of analyzing the generated DTMs, the main advantage of using the PPK method was identified, which showed a significant increase in the distance between ground control points, resulting in a reduced number of markers, decreased point density, and reduced overall fieldwork, thus reducing financial and time costs. Analytical dependencies for determining the sufficient number of ground markers for any required area and the optimal distance between markers depending on the desired resolution of the DTM were derived from the analysis. These dependencies can be applicable in practice for UAV aerial photography production and for further research in this field. The authors plan to continue their research in this direction to optimize the preparatory work for aerial photography production.
digital model , ground marker , mathematical assessment of accuracy , planned-high-altitude justification , Post Processing Kinematic , unmanned aerial vehicle
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Abylkas Saginov Karaganda Technical University, Karaganda, Kazakhstan
S. Seifullin Kazakh Agro Technical University, Astana, Kazakhstan
Abylkas Saginov Karaganda Technical University
S. Seifullin Kazakh Agro Technical University
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026