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Determination of radial profiles of wood properties using a near infrared scanning system

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1177/0967033520967324
AuthorSearch for: ORCID identifier: https://orcid.org/0000-0003-0121-1910; Search for: 1; Search for: ORCID identifier: https://orcid.org/0000-0002-9595-6632
Affiliation
  1. National Research Council of Canada. Construction
FormatText, Article
Subjectnear infrared; SilviScan; radial profile; wood density; modulus of elasticity; microfibril angle; boreal forest species
Abstract
A near infrared (NIR) spectrometer, equipped with a 2-mm diameter fiber optic probe, was used to develop a rapid and automated method for determining the radial profiles of wood properties for six tree species of the boreal forest of eastern Canada. Partial least squares regressions were performed using individual spectra, collected every 5 mm, from the pith to the bark, using 1,538 samples previously scanned by SilviScan to provide reference data. Results obtained for density (r2 of 0.57 to 0.65; SE of 21 to 33 kg/m³), microfibril angle (0.56 to 0.82, 2.3 to 4.8°) and modulus of elasticity (0.71 to 0.85, 1.3 to 1.8 GPa) were suitable for the purpose of this study. This method was then applied to more than 30,000 tree cores and the resulting radial profiles of the properties were consistent with literature. Area-weighted average predictions also gave reliable estimates at the disk scale. NIR-estimated values were strongly correlated to the measured density (r of 0.83 to 0.93) and modulus of elasticity (0.82 to 0.88) and moderately correlated to measured microfibril angle (0.64 to 0.78). Radial profiles of wood properties are needed to characterize the proportions of juvenile and mature wood. The developed method therefore offers interesting opportunities for estimating the quality of wood fiber in trees growing in plantation or natural forest.
Publication date
PublisherSAGE Publications
Optica
In
  • Journal of Near Infrared Spectroscopy 29, no. 1 (February 2021): 24–32.
LanguageEnglish
Peer reviewedYes
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Record identifier49bcf766-e667-4c23-9a7c-f9acbaeaf99c
Record created2023-01-09
Record modified2023-01-09
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