Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning

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dc.contributor.author Pyörälä, Jiri
dc.contributor.author Liang, Xinlian
dc.contributor.author Vastaranta, Mikko
dc.contributor.author Saarinen, Ninni
dc.contributor.author Kankare, Ville
dc.contributor.author Wang, Yunsheng
dc.contributor.author Holopainen, Markus
dc.contributor.author Hyyppä, Juha
dc.date.accessioned 2018-11-09T10:15:01Z
dc.date.available 2018-11-09T10:15:01Z
dc.date.issued 2018-10
dc.identifier.citation Pyörälä , J , Liang , X , Vastaranta , M , Saarinen , N , Kankare , V , Wang , Y , Holopainen , M & Hyyppä , J 2018 , ' Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning ' , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 11 , no. 10 , pp. 3598-3607 . https://doi.org/10.1109/JSTARS.2018.2819598
dc.identifier.other PURE: 118088971
dc.identifier.other PURE UUID: 7c78df8d-41d0-457f-8fa0-82dffcbc9e01
dc.identifier.other WOS: 000447950200019
dc.identifier.other Scopus: 85045731336
dc.identifier.other ORCID: /0000-0003-2730-8892/work/50565714
dc.identifier.other ORCID: /0000-0001-6552-9122/work/50563406
dc.identifier.uri http://hdl.handle.net/10138/259417
dc.description.abstract State-of-the-art technology available at sawmills enables measurements of whorl numbers and the maximum branch diameter for individual logs, but such information is currently unavailable at the wood procurement planning phase. The first step toward more detailed evaluation of standing timber is to introduce a method that produces similar wood quality indicators in standing forests as those currently used in sawmills. Our aim was to develop a quantitative method to detect and model branches from terrestrial laser scanning (TLS) point clouds data of trees in a forest environment. The test data were obtained from 158 Scots pines (Pinus sylvestris L.) in six mature forest stands. The method was evaluated for the accuracy of the following branch parameters: Number of whorls per tree and for every whorl, the maximum branch diameter and the branch insertion angle associated with it. The analysis concentrated on log-sections (stem diameter > 15 cm) where the branches most affect wood's value added. The quantitative whorl detection method had an accuracy of 69.9% and a 1.9% false positive rate. The estimates of the maximum branch diameters and the corresponding insertion angles for each whorl were underestimated by 0.34 cm (11.1%) and 0.67 degrees (1.0%), with a root-mean-squared error of 1.42 cm (46.0%) and 17.2 degrees (26.3%), respectively. Distance from the scanner, occlusion, and wind were the main external factors that affect the method's functionality. Thus, the completeness and point density of the data should be addressed when applying TLS point cloud based tree models to assess branch parameters. en
dc.format.extent 10
dc.language.iso eng
dc.relation.ispartof IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Branch
dc.subject forestry
dc.subject LiDAR
dc.subject modeling
dc.subject wood procurement
dc.subject wood quality
dc.subject LUMBER GRADE
dc.subject TREE MODELS
dc.subject STEM
dc.subject RECONSTRUCTIONS
dc.subject INFORMATION
dc.subject PREDICTION
dc.subject ALGORITHM
dc.subject DIAMETER
dc.subject BRANCHES
dc.subject SAWLOGS
dc.subject 4112 Forestry
dc.subject 222 Other engineering and technologies
dc.title Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning 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/10.1109/JSTARS.2018.2819598
dc.relation.issn 1939-1404
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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