Table 4.
Measurement of model performance for VI-based GAI-prediction [m2 m-2] in calibration and evaluation with ratios of reflections as predictors and the equation for the calibrated GAI-models.
| Linear model | MAEcalibration (RMSEcalibration) | MAEevaluation (RMSEevaluation) | Equation | |
|---|---|---|---|---|
| NIR/RE | 0.44 (0.60) | 0.55 (0.74) | -5.498 + 4.64 · NIR/RE | (1) |
| NIR/Red | 0.45 (0.69) | 0.81 (1.27) | -0.2066 + 0.1984 · NIR/Red | (2) |
| NIR/Green | 0.36 (0.56) | 0.64 (0.98) | -1.023 + 0.499 · NIR/Green | (3) |
| NIR/RE + NIR/Red + NIR/Green (VIQUO) | 0.35 (0.53) | 0.45 (0.71) | -2.829243 + 1.814068 · NIR/RE - 0.004532 · NIR/Red + 0.321576 · NIR/Green | (4) |
| NIR/RE × NIR/Red × NIR/Green | 0.31 (0.51) | 0.46 (0.72) | 0.23558 - 0.72441 · NIR/RE + 0.11783 · NIR/Red - 0.02023 · NIR/Green + 0.01313 · NIR/Red · NIR/Green + 0.10864 · NIR/Red · NIR/RE + 0.28252 · NIR/RE · NIR/Green - 0.01195 · NIR/RE · NIR/Green · NIR/Red | (5) |
| NDVIexp | 0.42 (0.66) | 0.69 (1.04) | 0.00197 · exp(8.42847 · ((NIR – Red)/(NIR + Red)) | (6) |
| mean | 0.39 (0.59) | 0.58 (0.89) |
MAEs are colored dark grey if they are higher than the mean and white if equal or lower.