Table 4 Prediction of GWP of biomass of fast-growing tree and agriculture residue by PLSR.
From: Predicting biomass global warming potential with FT-NIR spectroscopy
Variable selection method | Spectral pretreatment | Number of wavenumber | Factor | Calibration set | Prediction set | ||||
|---|---|---|---|---|---|---|---|---|---|
R2c | RMSEC | R2p | RMSEP | Bias | RPD | ||||
Full wavelength | Raw | 1150 | 10 | 0.80 | 0.00054 | 0.76 | 0.00061 | -0.0004 | 2.7 |
SNV | 1150 | 8 | 0.90 | 0.00053 | 0.82 | 0.00065 | -0.0007 | 2.5 | |
FstDev | 1150 | 9 | 0.89 | 0.00055 | 0.82 | 0.00062 | -0.0006 | 2.6 | |
SecDev | 1150 | 9 | 0.87 | 0.00054 | 0.84 | 0.00062 | -0.0004 | 2.6 | |
CM | Raw | 220 | 10 | 0.80 | 0.00054 | 0.76 | 0.00063 | -0.0002 | 2.6 |
SNV | 220 | 8 | 0.92 | 0.00053 | 0.80 | 0.00062 | -0.0004 | 2.6 | |
FstDev | 325 | 9 | 0.91 | 0.00054 | 0.74 | 0.00068 | -0.0003 | 2.4 | |
SecDev | 555 | 9 | 0.89 | 0.00053 | 0.83 | 0.00062 | -0.0005 | 2.6 | |
VM | Raw | 520 | 10 | 0.93 | 0.00065 | 0.80 | 0.00071 | -0.00005 | 2.3 |
SNV | 795 | 8 | 0.79 | 0.00082 | 0.85 | 0.00061 | -0.00004 | 2.7 | |
FstDev | 590 | 9 | 0.91 | 0.0006 | 0.74 | 0.00083 | -0.00006 | 1.9 | |
SecDev | 885 | 9 | 0.89 | 0.0006 | 0.82 | 0.00061 | -0.00003 | 2.6 | |
COVM | Raw | 510 | 10 | 0.89 | 0.00061 | 0.82 | 0.00063 | -0.00071 | 2.6 |
SNV | 895 | 8 | 0.95 | 0.00039 | 0.78 | 0.00076 | -0.00011 | 2.1 | |
FstDev | 325 | 9 | 0.92 | 0.00053 | 0.85 | 0.00063 | -0.00014 | 2.6 | |
SecDev | 450 | 9 | 0.92 | 0.00053 | 0.81 | 0.00071 | 3.4553e-05 | 2.3 | |
VIP | Raw | 950 | 10 | 0.80 | 0.00084 | 0.76 | 0.00062 | -0.00014 | 2,6 |
SNV | 850 | 8 | 0.78 | 0.00084 | 0.84 | 0.00063 | -0.00011 | 2.6 | |
FstDev | 750 | 9 | 0.91 | 0.00053 | 0.74 | 0.00083 | -.0.00012 | 1.9 | |
SecDev | 985 | 9 | 0.89 | 0.00061 | 0.82 | 0.00068 | -5.1928e-05 | 2.4 | |