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. 2022 Jul 8;22(14):5129. doi: 10.3390/s22145129

Table 3.

The optimal SOM prediction model (PLSR or SVR) in the four major rivers.

Soil Sample Model Wavelength Range
(nm)
Pre-Processing Rc2 RMSEc
(g kg−1)
Rv2 RMSEv
(g kg−1)
Factor
Total PLSR 400–1100 Normalization 0.657 11.23 0.630 11.66 8
SVR 350–2500 1st derivative
(20 nm)
0.716 10.55 0.678 11.12 -
GR Total PLSR 400–1100 Normalization 0.668 7.47 0.526 8.93 8
SVR 350–2500 SNV 0.627 8.54 0.544 9.17 -
WA PLSR 350–2500 Normalization 0.680 8.10 0.556 9.60 5
SVR 350–2500 1st derivative
(20 nm)
0.649 9.56 0.531 10.38 -
DWPZ PLSR 350–2500 SNV 0.713 5.95 0.629 6.83 4
SVR 350–2500 Normalization 0.794 5.33 0.735 5.97 -
NR Total PLSR 350–2500 - 0.766 9.81 0.659 11.96 7
SVR 350–2500 1st derivative
(20 nm)
0.735 10.54 0.662 11.84 -
WA PLSR 400–1100 1st derivative
(20 nm)
0.912 5.57 0.746 9.55 9
SVR 1100–2500 1st derivative
(20 nm)
0.706 10.89 0.470 13.80 -
DWPZ PLSR 400–1100 - 0.806 8.28 0.703 10.29 7
SVR 350–2500 2nd derivative
(20 nm)
0.858 7.35 0.644 10.29 -
YSR Total PLSR 350–2500 MSC 0.829 7.31 0.678 10.21 8
SVR 400–1100 1st derivative
(15 nm)
0.708 9.96 0.675 10.42 -
WA PLSR 350–2500 SNV 0.912 5.79 0.826 8.17 7
SVR 350–2500 1st derivative
(15 nm)
0.838 9.03 0.682 11.76 -
DWPZ PLSR 350–2500 SNV 0.911 4.80 0.729 8.42 11
SVR 350–2500 SNV 0.710 9.78 0.596 11.22 -
HR Total PLSR 350–2500 SNV 0.704 4.69 0.615 5.38 5
SVR 350–2500 SNV 0.755 4.55 0.691 4.96 -
WA PLSR 350–2500 SNV 0.810 3.62 0.657 4.92 5
SVR 350–2500 SNV 0.731 4.90 0.675 5.20 -
DWPZ PLSR 350–2500 SNV 0.877 2.31 0.694 3.72 6
SVR 400–1100 SNV 0.689 3.82 0.559 5.76 -