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Wood properties and use of near infrared spectroscopy and terrestrial LiDAR to improve optimal bucking and wood value recovery
Abstract   Peer reviewed

Wood properties and use of near infrared spectroscopy and terrestrial LiDAR to improve optimal bucking and wood value recovery

Mauricio Acuna and Glen Murphy
International Forestry Review, Vol.12(5), pp.295-296
IUFRO World Congress Forests for the Future: Sustaining Society and the Environment, XXIII (Seoul, Republic of Korea)
2010
url
http://www.iufro.org/download/file/6076/104/iwc10-abstracts.pdf/View
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Abstract

Forestry Sciences Policy and Administration
In many parts of the world log markets are becoming increasingly competitive and complex. Wood properties-such as stiffness, density, spiral grain, and extractives content-are now being considered by log buyers. Assessing these properties in real-time will be a challenge for log supply managers. The utility of near infrared (NIR) technology for predicting wood density in Douglas-fi r stems was examined. In this fi rst study, wood disks were collected from 17 sites around Oregon. Each disk was cut with a chain saw, of similar gauge to that used on mechanized harvesters/processors, to provide saw chips. Near infrared spectra were then obtained for the chip samples. Multivariate techniques were used to correlate wood properties with the NIR spectra. The preliminary research results showed that NIR could be used to predict density. The density predictions should allow logs to be segregated into several density classes. In a second study, 18 plots in three radiata pine stands of different tree sizes were scanned using terrestrial LiDAR systems. Tree locations were automatically detected using commercially available software. Stem profi les were measured using three methods: (1) from LiDAR scans, (2) by the harvester, and (3) manually after felling.

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