Theses and Dissertations

Benny Green

Issuing Body

Mississippi State University

Advisor

Nicholas, D. Darrel

Committee Member

Jones, P. David

Committee Member

Shmulsky, Rubin

Date of Degree

5-1-2010

Document Type

Graduate Thesis - Open Access

Major

Forest Products

Degree Name

Master of Science

College

College of Forest Resources

Department

Department of Forest Products

Abstract

The use of near infrared (NIR) spectroscopy for predicting levels of degradation in laboratory soil block tests was investigated. Calibrations were developed for mass loss, compression strength, and exposure period using data measured from the prior methods, and untreated and mathematically treated (multiplicative scatter correction and first and second derivative) NIR spectra from various spans of wavelengths by partial least squares regression. Strong correlations were obtained from each study conducted, while calibrations developed from NIR spectra from the cross-sectional face of southern yellow pine presented the strongest predictions. Of them, calibrations for mass loss resulted in the strongest predictions. Calibrations constructed from spectra obtained from the radial face of southern yellow pine also produced strong predictions, where the strongest model was for exposure period. While, calibrations developed for cottonwood presented the weakest statistics, the strongest calibration found was for exposure period.

URI

https://hdl.handle.net/11668/14983

Comments

Mass Loss||Compression Strength||Wood Decay||Near Infrared Spectroscopy

Download

Share

COinS