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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 3, pp. 103-113

Identification and analysis of deadwood using an unmanned aerial vehicle

P.Yu. Sannikov 1 , D.N. Andreev 1 , S.A. Buzmakov 1 
1 Perm State University, Perm, Russia
Accepted: 19.03.2018
DOI: 10.21046/2070-7401-2018-15-3-103-113
The demand for aerial photography performed by unmanned aerial vehicle has been growing quite rapidly in recent years both in Russia and worldwide. The range of tasks solved with the help of the aerial photography is quite wide. It includes applied problems as well as fundamental research questions. Forest area research appears to be one of the most popular objectives. The article presents a brief review of scientific literature devoted to the study of forest communities using unmanned aerial vehicles (UAVs) along with a concise overview of the technical parameters of the UAV. The main stages of obtaining an orthophoto by means of computer processing of primary survey materials have been formulated. The model object of aerial photography for this survey is Preduralye landscape reserve, located in the east of the European part of Russia, in the Priuralie region. The reserve is the fairly large (2290 hectares) natural complex, occupying the canyon valley of the river Sylva. The major part of Preduralye reserve is covered by mixed coniferous-deciduous forests, with prevalence of spruce, pine, linden, and birch. Aerial photography analysis made it possible to identify deadwood within the reserve boundaries. The research studied single-stand and aggregated distribution of dry wood, position of dead trees relative to the forest districts and the main geomorphological elements of the Sylva valley. Finally, statistical parameters of dry wood density in forests of different tree species composition and age were calculated.
Keywords: unmanned aerial vehicle, orthophoto, photogrammetry, forest, deadwood
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