Abstract

In order to investigate the feasibility of estimating rice canopy LAI quickly, a custom-made digital hemispherical photography system (DHPS), a Sony H9 digital camera (H9-DC) and a handheld Green Seeker sensor were used as proximal sensors, reference LAI was measured by a LI 3000C. Root mean square error (RMSE) was used to compare LAI retrieval performance. The result indicated that LAIs from all sensors had a moderately good correlation to reference LAIs. RMSEs produced by H9-DC were the highest, and RMSEs produced by DHPS reached the lowest value of 0.3055 on 25 July 2012. At that sampling time, LAI retrieval performance of DHPS excelled the GreenSeeker and H9-DC.

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