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Keywords = terrestrial laser scaner

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26 pages, 9188 KiB  
Article
Annual Shoot Segmentation and Physiological Age Classification from TLS Data in Trees with Acrotonic Growth
by Bastien Lecigne, Sylvain Delagrange and Olivier Taugourdeau
Forests 2021, 12(4), 391; https://doi.org/10.3390/f12040391 - 26 Mar 2021
Cited by 10 | Viewed by 3466
Abstract
The development of terrestrial laser scanning (TLS) has opened new avenues in the study of trees. Although TLS provides valuable information on structural elements, fine-scale analysis, e.g., at the annual shoots (AS) scale, is currently not possible. We present a new model to [...] Read more.
The development of terrestrial laser scanning (TLS) has opened new avenues in the study of trees. Although TLS provides valuable information on structural elements, fine-scale analysis, e.g., at the annual shoots (AS) scale, is currently not possible. We present a new model to segment and classify AS from tree skeletons into a finite set of “physiological ages” (i.e., state of specialization and physiological age (PA)). When testing the model against perfect data, 90% of AS year and 99% of AS physiological ages were correctly extracted. AS length-estimated errors varied between 0.39 cm and 2.57 cm depending on the PA. When applying the model to tree reconstructions using real-life simulated TLS data, 50% of the AS and 77% of the total tree length are reconstructed. Using an architectural automaton to deal with non-reconstructed short axes, errors associated with AS number and length were reduced to 5% and 12%, respectively. Finally, the model was applied to real trees and was consistent with previous findings obtained from manual measurements in a similar context. This new method could be used for determining tree phenotype or for analyzing tree architecture. Full article
(This article belongs to the Section Forest Inventory, Modeling and Remote Sensing)
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