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A new method to estimate branch biomass from terrestrial laser scanning data by bridging tree structure models
Author(s) -
Man Hu,
Timo P. Pitkänen,
Francesco Minunno,
Xianglin Tian,
Aleksi Lehtonen,
Annikki Mäkelä
Publication year - 2021
Publication title -
annals of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.567
H-Index - 176
eISSN - 1095-8290
pISSN - 0305-7364
DOI - 10.1093/aob/mcab037
Subject(s) - biology , bridging (networking) , tree (set theory) , biomass (ecology) , laser scanning , botany , ecology , laser , mathematics , optics , computer science , combinatorics , computer network , physics
Branch biomass and other attributes are important for estimating the carbon budget of forest stands and characterizing crown structure. As destructive measuring is time-consuming and labour-intensive, terrestrial laser scanning (TLS) as a solution has been used to estimate branch biomass quickly and non-destructively. However, branch information extraction from TLS data alone is challenging due to occlusion and other defects, especially for estimating individual branch attributes in coniferous trees.

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