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This study investigated the utility of Sentinel-2 spectral data for estimating leaf area index (LAI), leaf and canopy chlorophyll content of maize at different growth stages. Vegetation indices based on the visible-near infrared and red-edge regions of the spectrum were computed from Sentinel-2 imagery acquired within one or two days of field data collection. Results showed that green chlorophyll index (CI green ) and red-edge chlorophyll index (CI red-edge ), using the red-edge variant centred at 705 nm, consistently showed higher relationship to maize LAI with  r2  of 0.65 and 0.63 during the early stages of growth, respectively, and an  r2  of 0.79 and 0.81 during tassel stage, respectively. Regarding canopy chlorophyll content the results indicated the spectral advantage of the Sentinel-2 sensor with the presence of two red-edge bands for continuous monitoring of maize chlorophyll content. Overall, the results indicated that maize biophysical variables can be monitored at satellite level using Sentinel-2 data.

Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages