Article
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Modeling the Geometry of Individual Tree Trunks Using LiDAR Data
Version 1
: Received: 11 December 2023 / Approved: 12 December 2023 / Online: 13 December 2023 (06:18:11 CET)
A peer-reviewed article of this Preprint also exists.
Tarsha Kurdi, F.; Gharineiat, Z.; Lewandowicz, E.; Shan, J. Modeling the Geometry of Tree Trunks Using LiDAR Data. Forests 2024, 15, 368. Tarsha Kurdi, F.; Gharineiat, Z.; Lewandowicz, E.; Shan, J. Modeling the Geometry of Tree Trunks Using LiDAR Data. Forests 2024, 15, 368.
Abstract
Effective development of digital twins of real-world objects requires sophisticated data collection techniques and algorithms for automated modeling of individual objects. In City Information Modeling (CIM) systems, individual buildings can be modeled automatically at the second Level Of Detail or LOD 2. Similarly, automated solutions for 3D modeling of individual trees at different levels of details are required for Tree Information Modeling (TIM) and building Forest Digital Twins (FDT). The existing algorithms support the automated modeling of trees by generating models of the canopy and the lower part of the trunk. Our work in this paper is based on the assumption that, similar to the canopy shape, the structure of tree trunk and branches is also an important consideration. An algorithm for automated modeling of tree trunks is proposed. Aiming to generate 3D models of tree trunks, the suggested approach starts by extracting the trunk point cloud, which is then segmented into single stems. Finally, the individual stems are modeled by dividing them into slices. The geometry of the developed tree models is represented in a matrix format. This solution enables automatic comparisons of tree elements over time, which is necessary for monitoring changes in forest stands and promoting sustainable forest management. Despite the huge variation of trunk geometric forms, the proposed modeling approach can gain an accuracy of better than 4 cm in the constructed tree trunk models.
Keywords
digital twins; tree model; tree trunk; trunk geometry; lidar; OGC; CityGML
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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