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Publisert 2016

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Publikasjonsdetaljer

Tidsskrift : Journal of Near Infrared Spectroscopy , vol. 24 , p. 595–604 , 2016

Internasjonale standardnummer :
Trykt : 0967-0335
Elektronisk : 1751-6552

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Smeland, Knut Arne; Liland, Kristian Hovde; Sandak, Jakub; Sandak, Anna; Gobakken, Lone Ross; Thiis, Thomas Kringlebotn; Burud, Ingunn

Sak : 6

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Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no

Sammendrag

Untreated wooden surfaces degrade when exposed to natural weathering. In this study thin wood samples were studied for weather
degradation effects utilising a hyperspectral camera in the near infrared wavelength range in transmission mode. Several sets of samples
were exposed outdoors for time intervals from 0 days to 21 days, and one set of samples was exposed to ultraviolet (UV) radiation
in a laboratory chamber. Spectra of earlywood and latewood were extracted from the hyperspectral image cubes using a principal
component analysis-based masking algorithm. The degradation was modelled as a function of UV solar radiation with four regression
techniques, partial least squares, principal component regression, Ridge regression and Tikhonov regression. It was found that all the
techniques yielded robust prediction models on this dataset. The result from the study is a first step towards a weather dose model
determined by temperature and moisture content on the wooden surface in addition to the solar radiation.