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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, 2025, Vol. 22, No. 1, pp. 116-130

Formation of a spatial database of tree species distribution at Lyalsky test site (Komi Republic) based on UAV data

T.A. Mylnikova 1 , A.Yu. Borovlev 1 , V.V. Elsakov 1 , V.M. Shchanov 1 
1 Institute of Biology, Komi Science Centre UrB RAS, Syktyvkar, Russia
Accepted: 09.01.2025
DOI: 10.21046/2070-7401-2025-22-1-116-130
A database of spatial distribution of tree crowns at Lyalsky test site (Komi Republic) with attached attributives has been constructed based on the processing of multiseasonal unmanned aerial vehicle (UAV) imagery. Delineation of crown boundaries was carried out using object-oriented segmentation of images based by texture and brightness homogeneous areas, selection of local maxima in the contour limits corresponding to highlighted tree tops, cultivation of crown areas by the watershed method. Convergence comparison of selected tree classes’ crown total areas obtained by automated and expert methods demonstrates a high convergence class for two independent plots (85.8 and 90.3 %). The criteria of statistical separability and inter-class transformed divergence demonstrate the opportunities for separation of deadwood, deciduous, dark coniferous and pine crowns by spectral values. The non-metric multidimensional scaling ordination diagram of the multispectral summer and autumn survey values of model trees extracts the nuclei of the species classes. Split of selected crown areas into species composition classes showed an average level of convergence with expert assessment (overall accuracy 77.3 %, kappa 67.5 % for n = 2631 trees). Dark coniferous species and deadwood had the highest accuracy of determination. Aspen had the lowest accuracy of determination. The obtained materials were formalized in the “Database on spatial distribution of tree species at test site Lyalsky (middle taiga, northeast of the East European Plain)” (registration No. 2024623720). The data are planned to be used for building spatial models using spectrozonal satellite images (model building by spectral mixture decomposition and verification), and for obtaining taxonomic indicators of forest stands.
Keywords: UAV, Komi Republic, spectral separability, tree species crowns
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