Pinus radiata D. Don cants (100 or 200 mm thick × 4.8 m) from a commercial sawmill operation were assessed in the green state using near infrared (NIR) spectroscopy. Near infrared spectra were acquired along the centre line of one cant face and at 50 mm offsets to one side of the centre line. The cants were ripped to produce either 50 × 100 or 50 × 200 mm rough sawn boards, which were then kiln-dried and gauged to final dimensions. The long-span modulus of elasticity (L MoE) on each board was determined using a four-point bending test and the corresponding NIR spectra of each board (the 50 mm edge from the cant) were regressed against the long-span MoE value using partial least squares modeling. The results are explained in terms of the potential for NIR to predict the potential upgrade to higher value products for timber recovered from the corewood zone of logs.

A fibre-optic accessory with a linear drive transport system has been coupled to a near infrared (NIR) instrument to enable solid samples, in this instance increment cores from standing trees, to be scanned at 1 mm increments along the length of the sample. This allows the NIR prediction of wood properties (oven-dry chemical composition and microfibril angle) to be undertaken so that the radial profile of chemistry or microfibril angle can be determined from the pith to the bark. Calibration models provided prediction errors for microfibril angle in Pinus radiata softwood of 4.1° while for Eucalyptus globulus the error is 3.9°. The errors for prediction of chemical composition in Pinus radiata are 0.2% (arabinose) 1.1% (galactose), 2.3% (glucose), 0.7% (mannose), 0.7% (xylose) and 1.6% (lignin).