Spectral Pre-Processing and Multivariate Calibration Methods for the Prediction of Wood Density in Chinese White Poplar by Visible and Near Infrared Spectroscopy

Spectral Pre-Processing and Multivariate Calibration Methods for the Prediction of Wood Density in Chinese White Poplar by Visible and Near Infrared Spectroscopy

Wood density is a key indicator for tree functionality and end utilization. Appropriate chemometric methods play an important role in the successful prediction of wood density by visible and near infrared (Vis-NIR) spectroscopy. The objective of this study was to select appropriate pre-processing, v...

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Bibliographic Details
Main Authors: Ying Li, Guozhong Wang, Gensheng Guo, Yaoxiang Li, Brian K. Via, Zhiyong Pei
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Forests
Subjects:
Vis-NIR spectroscopy
wood density
spectral pre-processing
chemometrics
Online Access:https://www.mdpi.com/1999-4907/13/1/62

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