Estimating canopy LAI and chlorophyll of tropical forest plantation using Sentinel-2 data

What is it about?

The in-situ measurements were statistically correlated with Sentinel-2VIs and strength of correlation was validated using Predicted Residual Error Sum of Squares (PRESS) statistic. Field LAI corrected for foliage clumpiness effect improved correlation of VIs with LAI. Among all VIs tested, Normalized Difference Index (NDI) offered highest positive correlation (R2 = 0.79, p < 0.05) with LAI while Red-Edge Chlorophyll Index (RECI) (R2 = 0.83, RMSE = 0.24 g/m2, p < 0.05) and Simple Ratio (SR) 740/705 (R2 = 0.79, RMSE = 0.27 g/m2, p < 0.05) were the most closely related to chlorophyll content.

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Why is it important?

This study would help the users of Sentinel-2 data to choose best VIs with maximum sensitivity to canopy LAI and chlorophyll content, and thereby achieving high retrieval accuracies.