Assessing branching structure for biomass and wood quality estimation using terrestrial laser scanning point clouds

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dc.contributor.author Pyorala, Jiri
dc.contributor.author Liang, Xinlian
dc.contributor.author Saarinen, Ninni
dc.contributor.author Kankare, Ville
dc.contributor.author Wang, Yunsheng
dc.contributor.author Holopainen, Markus
dc.contributor.author Hyyppa, Juha
dc.contributor.author Vastaranta, Mikko
dc.date.accessioned 2020-01-12T03:28:48Z
dc.date.available 2021-12-17T22:45:51Z
dc.date.issued 2018
dc.identifier.citation Pyorala , J , Liang , X , Saarinen , N , Kankare , V , Wang , Y , Holopainen , M , Hyyppa , J & Vastaranta , M 2018 , ' Assessing branching structure for biomass and wood quality estimation using terrestrial laser scanning point clouds ' , Canadian journal of remote sensing , vol. 44 , no. 5 , pp. 462-475 . https://doi.org/10.1080/07038992.2018.1557040
dc.identifier.other PURE: 123897947
dc.identifier.other PURE UUID: e59f15d8-b575-410c-a6f1-aaf8cbd4ec8d
dc.identifier.other WOS: 000462203500004
dc.identifier.other ORCID: /0000-0003-2730-8892/work/56405614
dc.identifier.other ORCID: /0000-0001-6552-9122/work/56406044
dc.identifier.other Scopus: 85060005343
dc.identifier.uri http://hdl.handle.net/10138/309291
dc.description.abstract Terrestrial laser scanning (TLS) accompanied by quantitative tree-modeling algorithms can potentially acquire branching data non-destructively from a forest environment and aid the development and calibration of allometric crown biomass and wood quality equations for species and geographical regions with inadequate models. However, TLS's coverage in capturing individual branches still lacks evaluation. We acquired TLS data from 158 Scots pine (Pinus sylvestris L.) trees and investigated the performance of a quantitative branch detection and modeling approach for extracting key branching parameters, namely the number of branches, branch diameter (b(d)) and branch insertion angle (b) in various crown sections. We used manual point cloud measurements as references. The accuracy of quantitative branch detections decreased significantly above the live crown base height, principally due to the increasing scanner distance as opposed to occlusion effects caused by the foliage. b(d) was generally underestimated, when comparing to the manual reference, while b was estimated accurately: tree-specific biases were 0.89cm and 1.98 degrees, respectively. Our results indicate that full branching structure remains challenging to capture by TLS alone. Nevertheless, the retrievable branching parameters are potential inputs into allometric biomass and wood quality equations. en
dc.format.extent 14
dc.language.iso eng
dc.relation.ispartof Canadian journal of remote sensing
dc.rights unspecified
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Forestry
dc.subject LiDAR
dc.subject Modeling
dc.subject Point clouds
dc.subject Scots pine
dc.subject SCOTS PINE
dc.subject ABOVEGROUND BIOMASS
dc.subject NORWAY SPRUCE
dc.subject LUMBER GRADE
dc.subject TREE MODELS
dc.subject FOREST
dc.subject GROWTH
dc.subject LIDAR
dc.subject EQUATIONS
dc.subject DIAMETER
dc.subject 4112 Forestry
dc.subject 1171 Geosciences
dc.title Assessing branching structure for biomass and wood quality estimation using terrestrial laser scanning point clouds en
dc.type Article
dc.contributor.organization Laboratory of Forest Resources Management and Geo-information Science
dc.contributor.organization Department of Forest Sciences
dc.contributor.organization Forest Health Group
dc.contributor.organization Forest Ecology and Management
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1080/07038992.2018.1557040
dc.relation.issn 0703-8992
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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