A new method to estimate branch biomass from terrestrial laser scanning data by bridging tree structure models

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dc.contributor.author Hu, Man
dc.contributor.author Pitkanen, Timo P.
dc.contributor.author Minunno, Francesco
dc.contributor.author Tian, Xianglin
dc.contributor.author Lehtonen, Aleksi
dc.contributor.author Makela, Annikki
dc.date.accessioned 2022-02-11T14:25:03Z
dc.date.available 2022-02-11T14:25:03Z
dc.date.issued 2021-11-02
dc.identifier.citation Hu , M , Pitkanen , T P , Minunno , F , Tian , X , Lehtonen , A & Makela , A 2021 , ' A new method to estimate branch biomass from terrestrial laser scanning data by bridging tree structure models ' , Annals of Botany , vol. 128 , no. 6 , pp. 737-751 . https://doi.org/10.1093/aob/mcab037
dc.identifier.other PURE: 173996546
dc.identifier.other PURE UUID: ee11716f-0908-48fa-b43f-78e808a2831f
dc.identifier.other WOS: 000743320700007
dc.identifier.other ORCID: /0000-0001-9633-7350/work/108067145
dc.identifier.uri http://hdl.handle.net/10138/340142
dc.description.abstract Background and Aims 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. Methods This study presents a method, entitled TSMtls, to estimate individual branch biomass non-destructively and accurately by combining tree structure models and TLS data. The TSMtls method constructs the stem-taper curve from TLS data, then uses tree structure models to determine the number, basal area and biomass of individual branches at whorl level. We estimated the tree structural model parameters from 122 destructively measured Scots pine (Pinus sylvestris) trees and tested the method on six Scots pine trees that were first TLS-scanned and later destructively measured. Additionally, we estimated the branch biomass using other TLS-based approaches for comparison. Key Results Tree-level branch biomass estimates derived from TSMtls showed the best agreement with the destructive measurements [coefficient of variation of root mean square error (CV-RMSE) = 9.66 % and concordance correlation coefficient (CCC) = 0.99], outperforming the other TLS-based approaches (CV-RMSE 12.97-57.45 % and CCC 0.43-0.98 ). Whorl-level individual branch attributes estimates produced from TSMtls showed more accurate results than those produced from TLS data directly. Conclusions The results showed that the TSMtls method proposed in this study holds promise for extension to more species and larger areas. en
dc.format.extent 15
dc.language.iso eng
dc.relation.ispartof Annals of Botany
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Branch biomass
dc.subject terrestrial laser scanning
dc.subject tree-structure model
dc.subject individual branch attributes
dc.subject quantitative structure model
dc.subject NORWAY SPRUCE
dc.subject SCOTS PINE
dc.subject GROWTH
dc.subject LIDAR
dc.subject ALLOCATION
dc.subject EQUATIONS
dc.subject BIRCH
dc.subject 4112 Forestry
dc.title A new method to estimate branch biomass from terrestrial laser scanning data by bridging tree structure models en
dc.type Article
dc.contributor.organization Forest Modelling Group
dc.contributor.organization Department of Forest Sciences
dc.contributor.organization Ecosystem processes (INAR Forest Sciences)
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1093/aob/mcab037
dc.relation.issn 0305-7364
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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