Rice LAI estimation using UAV-based multi-parameter fusion at the booting stage.

However, at 60 m, the correlations became markedly stronger, with features such as B-DIS (r = -0.81), B-ENT (r = -0.81), R-MEA (r = -0.82), and R-ENT (r = -0.82) showing highly significant negative correlations (p < 0.01, |r|> 0.80).

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15 , the residuals are generally centered around zero, but a clear trend indicates systematic bias.

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