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Kabonen A. V., Dimitrov V. M. Assessment of Dendrometric Characteristics of the Stands by Ground Laser Scanning Data

Authors:
Keywords:
artificial plantings, laser scanning, inventory, dendrometric characteristics
Pages:
90–99

Abstract

UDC 630.2+630.53

How to cite: Kabonen A. V., Dimitrov V. M. Assessment of dendrometric characteristics of the stands by ground laser scanning data // Sibirskij Lesnoj Zurnal (Sib. J. For. Sci.). 2025. N. 5. P. 90–99 (in Russian with English abstract and references).

DOI: 10.15372/SJFS20250510

EDN: …

© Kabonen A. V., Dimitrov V. M., 2025

The experience of using terrestrial laser scanning LiDAR to assess the biometric characteristics of trees during the inventory of the artificial tree plantings in the «Bul’var Pobedy» (Boulevard of Victory) in the city of Petrozavodsk, Republic of Karelia, is discussed in the paper. The aim of the work was to conduct a comprehensive statistical analysis of LiDAR data in comparison with in-kind measurements of dendroparameters – tree height, crown and stem diameters at a height of 1.3 m, taking into account the species of trees. The results of the study showed the high efficiency of LiDAR technology for establishing the main dendroparameters. The best results were obtained for measuring stem diameter at a height of 1.3 m (91.5 % of reliable species), crown diameter (85.7 %) and tree height (92.9 %). The average relative error ranged from 5.0 % for stem diameter at a height of 1.3 m to 10.0 % for tree height. The most accurate measurement results are shown for a blue spruce (Picea pungens Engelm.) and common ash (Fraxinus excelsior L.), where all parameters were measured with high accuracy (p > 0.05 in all cases). The stem diameter at 1.3 m turned out to be the most stable parameter with the lowest average error (4.99 %). This is explained by the relative simplicity of its measurement and lesser dependence on external factors. Measuring the crown diameter showed a higher average error (8.28 %). The obtained results of the study indicate the need to take into account tree species characteristics and crown density in the stand when scanning LiDAR and processing data.

Article


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