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

  1. N: Number of samples in calibration set, R2c: coefficient of determination of calibration set, n: number of samples in prediction set, R2p: coefficient of determination of prediction set, RPD: ratio of prediction to deviation, CM: correlation method, VM: variance method, COVM: co-variance method, VIP: variable.
  2. Significant values are in [bold].