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Table 4 Root mean square errors (RMSE) and coefficient of variation (CV) of LAI estimation based on VI, H × VI and H × ln(VI + 1) model using ten-fold cross-validation

From: Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season

  VI VI × H H × ln(VI + 1)
RMSE CV (%) RMSE CV (%) RMSE CV (%)
MTCI 1.44 35.1 1.09 26.6 0.97 23.8
\({\text{CI}}_{{{\text{green}}}}\) 1.43 34.9 1.08 26.3 0.95 23.1
\({\text{CI}}_{{{\text{red edge}}}}\) 1.43 34.9 1.09 26.6 0.98 23.8
NDRE 1.42 34.7 0.96 23.4 0.95 23.2
WDRVI 1.42 34.6 0.95 23.1 0.95 23.3
NDVI 1.41 34.4 1.01 24.7 1.02 24.9
OSAVI 1.38 33.7 0.94 23.0 0.94 22.9
EVI2 1.20 29.4 0.98 23.9 0.99 24.1