Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) — ##plugins.generic.mcfnsReadingTools.readingTools##

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Photogrammetric point cloud trees

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1.Title##plugins.generic.mcfnsReadingTools.titleLabel##Photogrammetric point cloud trees
2.Creator##plugins.generic.mcfnsReadingTools.creators##Rong Fang; College of Forestry, Oregon State University, Corvallis, OR, USA; アメリカ合衆国
2.Creator##plugins.generic.mcfnsReadingTools.creators##Bogdan Strimbu; College of Forestry, Oregon State University, Corvallis, OR, USA; アメリカ合衆国
3.Subject##plugins.generic.mcfnsReadingTools.keywords##structure from motion; loblolly pine; LAS file; DXF file
3.Subject##plugins.generic.mcfnsReadingTools.disciplines##Photogrammetry
4.Description##plugins.generic.mcfnsReadingTools.abstract##This note describes the point clouds representing the stem of three loblolly pines (Pinus taeda Lindl.) from west-central Louisiana reconstructed with terrestrial photogrammetry. After capturing the images needed for the 3D rendering, we cut the trees down and measured their diameters at breast height and at every meter along the stem starting at 1 m above the ground. The diameters measured in the field were stored as ASCII files. The reconstructed models reached over 50% of the relative height – the proportion of the stem on which the majority of the merchantable volume is located. For each tree, two files were produced, a point cloud and a mesh data, to represent the 3D stem and some branches. The point cloud was stored in the LAS format and the mesh in the DXF format. Diameter at breast height was marked on all trees by red rings. The files describing the three trees provide a calibrated dataset that can be used for development of taper models, testing and calibration of segmentation algorithms, and identification of products that can be obtained from a stem.
5.Publisher##plugins.generic.mcfnsReadingTools.publisher##Contemporary Journal Concept Press
6.Contributor##plugins.generic.mcfnsReadingTools.contributors##
7.Date##plugins.generic.mcfnsReadingTools.date##2017-09-30
8.Type##plugins.generic.mcfnsReadingTools.type##Text.Serial.Journal; Structure from motion
9.Format##plugins.generic.mcfnsReadingTools.format##PDF (英語); application/pdf
10.Identifier##plugins.generic.mcfnsReadingTools.identifier##https://mcfns.com/index.php/Journal/ja/article/view/9.8
11.Source##plugins.generic.mcfnsReadingTools.source##Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); 巻 9 号 2: MCFNS September 30, 2017; 30-33 (4)
11.Source##plugins.generic.mcfnsReadingTools.onlineIssn##1946-7664
12.Language##plugins.generic.mcfnsReadingTools.language##en
13.Relation##plugins.generic.mcfnsReadingTools.suppFiles##
14.Coverage##plugins.generic.mcfnsReadingTools.coverageGeo##
15.Rights##plugins.generic.mcfnsReadingTools.rights##Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS) 2017