Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 12,
  • Issue 1,
  • pp. 55-61
  • (2004)

Development of Wood Property Calibrations Using near Infrared Spectra Having Different Spectral Resolutions

Not Accessible

Your library or personal account may give you access

Abstract

A range of important wood properties can be predicted using calibrations obtained using SilviScan data and diffuse reflectance near infrared (NIR) spectra collected from wooden strips cut from increment cores. The ease of NIR measurements and the rapid provision of SilviScan data provides the opportunity to establish extremely large data sets, causing calibration problems. An option is to reduce the number of data points representing an individual NIR spectrum. NIR spectra were collected in 10 mm increments from the radial longitudinal face of 89 Pinus taeda L. (loblolly pine) breast height (1.30 m) wooden strips using a Foss NIRSystems 5000 [wavelength range 1100–2498 nm, spectral sampling interval (SSI) 2 nm]. Air-dry density, microfibril angle (MFA) and stiffness calibrations were obtained using SSIs ranging from 2 to 64 nm. Calibrations developed using NIR spectra having SSIs of 4 or 8 nm performed as well as those obtained at 2 nm. As resolution was decreased (SSI increased), the quality of the calibrations associated with the various wood properties was affected to different degrees. The MFA calibration was the most affected and air-dry density the least.

© 2004 NIR Publications

PDF Article
More Like This
Optical properties of drying wood studied by time-resolved near-infrared spectroscopy

Keiji Konagaya, Tetsuya Inagaki, Ryunosuke Kitamura, and Satoru Tsuchikawa
Opt. Express 24(9) 9561-9573 (2016)

Structural and optical properties of wood and wood finishes studied using optical coherence tomography: application to an 18th century Italian violin

Gaël Latour, Jean-Philippe Echard, Balthazar Soulier, Isabelle Emond, Stéphane Vaiedelich, and Mady Elias
Appl. Opt. 48(33) 6485-6491 (2009)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.