2025 Ecosystem Transformation 8 (3), 3-9

Use of UAVs and multispectral images in the examination of phytocenoses in logged areas

Olkhin Yu.V.  , Gavrilova O.I., Gryazkin A.V.

The study analyzes high-resolution multispectral images obtained via unmanned aerial vehicles (UAVs) to assess the state of phytocenoses in logged areas that were cleared seven years ago. The clearcut site represents an irregularly shaped area of 13 hectares, on which seed trees are left as large patches of 0.2–0.3 hectares each. The images obtained from UAVs in the visible range and in the synthesis of NIR-GRE-RED channels determine the qualitative and quantitative characteristics of coniferous and deciduous trees in seed patches, in forest edges adjacent to the logged area and in rows of forest crops. In the eastern part of the logged area between the rows of forest crops, deciduous trees are represented by single specimens, conifers prevail, and in the western and northwestern parts of the logged area, natural renewal of deciduous trees prevails. The obtained information about the structure and condition of young forests can be applied in the development and updating of forestry regulations, objective documentation, and forest management plans.

Yu. V. Olkhin
Petrozavodsk State University
prospekt Lenina 33, Republic of Karelia, Petrozavodsk, 185960 Russia

yuri_olkhin@mail.ru

O. I. Gavrilova
Petrozavodsk State University
prospekt Lenina 33, Republic of Karelia, Petrozavodsk, 185960 Russia


A. V. Gryazkin
Saint-Petersburg State Forest Technical University named after S.M. Kirov
per. Institutskiy 5 litera U, Saint-Petersburg, 194018 Russia

Akovetskiy, V.G., Afanas'ev, A.V., 2020. Metody i tekhnologii interpretatsii aerokosmicheskikh monitoringovykh nablyudenii lesnoi rastitel'nosti [Methods and technologies of interpretation of aerospace monitoring observations of forest vegetation]. Lesnoi vestnik [Forestry Bulletin] 2, 29–36. (In Russian). https://doi.org/10.18698/2542-1468-2020-2-29-36
Brieger, F., Herzschuh, U., Pestryakova, L.A., Bookhagen, B., Zakharov, E.S., Kruse, S., 2019. Advances in the derivation of Northeast Siberian forest metrics using high-resolution UAV-based photogrammetric point clouds. Remote Sensing 11 (12), 1447. https://doi.org/10.3390/rs11121447
Gavrilova, O.I, Morozova, I.V., Ol'khin, Yu.V., Yur'eva, A.L., Ioffe, A.O., 2020. Dinamika rosta i otsenka sostoyaniya kul'tur sosny obyknovennoi na veinikovo-lugovikovykh vyrubkakh metodami distantsionnogo zondirovaniya [The dynamics of growth and assessment of the state of Scots pine crops in glacier-meadow cuttings by remote sensing methods]. Izvestiya vysshikh uchebnykh zavedenii. Lesnoi zhurnal [Bulletin of Higher Educational Institutions. Forest Journal] 1 (373), 63–74.
(In Russian). https://doi.org/10.37482/0536-1036-2020-1-63-74
Filatov, A.A., Gryaz'kin, A.V., Gavrilova, O.I., 2022. Otsenka struktury i sostoyaniya molodnyakov s ispol'zovaniem bespilotnykh letatel'nykh apparatov i nazemnym metodom [Assessment of the structure and condition of young animals using unmanned aerial vehicles and the ground method].
Lesnoi vestnik [Forest Bulletin] 4, 21–28. (In Russian). https://doi.org/10.18698/2542-1468-2022-4-21-28
Kabonen, A.V., Ol'khin, Yu.V., 2020. Tsifrovoe modelirovanie prirodno-landshaftnykh kompleksov po dannym, poluchennym s pomoshch'yu bespilotnykh letatel'nykh apparatov [Digital modeling of natural landscape complexes based on data obtained using unmanned aerial vehicles]. Lesokhozyaistvennaya informatsiya [Forestry Information] 3, 101–110. (In Russian). https://doi.org/10.24419/LHI.2304-3083.2020.3.09
Kabonen,A.V., Gavrilova, O.I., Gryaz'kin,A.V., Pak, K.A., 2022. Otsenka estestvennogo vozobnovleniya lesa na gari s ispol'zovaniem dannykh, poluchennykh s pomoshch'yu bespilotnogo letatel'nogo apparata [Assessment of the natural regeneration of forests in burning using data obtained using an unmanned aerial vehicle]. Sibirskii lesnoi zhurnal [Siberian Forest Journal] 2, 11–20. (In Russian). https://doi.org/10.15372/SJFS20220202
Kulha, N., Pasanen, L.,Aakala, T., 2018. How to calibrate historical aerial photographs: a change analysis of naturally dynamic boreal forest landscapes. Forests 9 (10), 631. https://doi.org/10.3390/f9100631
Maslakov, E.L., 1984. Formirovanie sosnovykh molodnyakov [Formation of pine young trees]. Forest Industry, Moscow, USSR, 168 p. (In Russian).
Neuville, R., Bates, J.S., Jonard, F., 2021. Estimating forest structure from UAV-mounted LiDAR point cloud using machine learning. Remote Sensing 13 (3), 352. https://doi.org/10.3390/rs13030352
Ol'khin, Yu.V., Gavrilova, O.I., Gryaz'kin, A.V., Kabonen, A.V., 2022. Perevod lesnykh kul'tur v pokrytuyu lesom ploshchad' s ispol'zovaniem bespilotnykh letatel'nykh apparatov [Transfer of forest crops to a forested area using unmanned aerial vehicles]. Izvestiya Sankt-Peterburgskoi lesotekhnicheskoi akademii [News of the Saint Petersburg Forestry Academy] 239, 89–103. (In Russian). https://doi.org/10.21266/2079-4304.2022.239.99-103
Ol'khin, Yu.V., Gavrilova, O.I., Gryaz'kin, A.V., 2023. Ispol'zovanie bespilotnogo letatel'nogo apparata dlya otsenki protsessa formirovaniya molodnyakov na vyrubkakh [The use of an unmanned aerial vehicle to assess the process of formation of young trees in logging areas]. Resursy i tekhnologiii [Resources and Technologies] 3, 60–75. (In Russian). https://doi.org/10.15393/j2.art.2023.7163
Skudneva, O.V., 2014. Bespilotnye letatel'nye apparaty v sisteme lesnogo khozyaistva Rossii [Unmanned aerial vehicles in the Russian Forestry System]. Izvestiya vuzov. Lesnoi zhurnal [Bulletin of Higher Educational Institutions. Forest Journal] 6, 150–154. (In Russian).
Sokolov, A.I., 2006 Lesovosstanovlenie na vyrubkakh Severo-Zapada Rossii [Reforestation in the deforestation of the North-West of Russia]. Karelian Research Centre of the RAS, Petrozavodsk, Russia, 215 p. (In Russian).