Multivariate Modeling Dahurian Larch Plantation Wood Density Based On Near Infrared Spectroscopy

摘要

The aim of this study was to analyze the density of larch samples using near-infrared (NIR) spectroscopy. A multivariate analysis (MVA) method of principal component regression (PCR)was applied to the NIR spectroscopy of the samples. Using PCR method, correlation coefficients was 0.954 for the calibration model and 0.911 for the validation model with standard error of calibration (SEC) and standard error of prediction (SEP) of 0.017 and 0.023, respectively. The coefficient of determination (R2) between predicted and actual values was 0.91 for PCR. The study showed that model developed based on PCR method is valid to the samples studied. This study could provide useful information for quick and nondestructive testing of Dahurian Larch Plantation wood density.