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. 2017 Jun 18;17(6):1428. doi: 10.3390/s17061428

Table 4.

Coefficient of determination and RMSE (from repeated 10-fold cross-validation) for linear regressions between crop traits and vegetation indices calculated from UAV and ground-based data acquired on the last 4 acquisition dates (from 62 to 99 DAP). Only indices with the best prediction performance for both datasets are presented (the complete results are shown in the Table A1).

Traits UAV Measurements
Vegetation Index R2 RMSE 1
Leaf chlorophyll MTCI 0.91 2.31
Leaf area index TCARI 0.56 0.68
Canopy chlorophyll CIg 0.81 0.201
Ground cover NDVI 0.90 0.037
Ground-Based Measurements
Leaf chlorophyll TCARI/OSAVIre 0.78 3.52
Leaf area index OSAVI 0.58 0.63
Canopy chlorophyll CIg 0.83 0.194
Ground cover OSAVI 0.92 0.033

1 RMSE values with same units of corresponding crop properties, i.e., µg·cm−2, m2·m−2 and g·m−2 for leaf chlorophyll, leaf area index and canopy chlorophyll, respectively.