Evaluated the performance of 3 billion+ band combinations of 9 vegetation index types by conducting regression analysis to determine the optimal chlorophyll index for chlorophyll content estimation.

Methodology described in the paper by Zhao, Yunxia, et al., 2019

The project was implemented and tested in Matlab.

In this study, we collected fifty-two, fifty-four, fifty-six and fifty-eight leaf samples for Kandelia candel, Avicennia marina, Aegiceras corniculatum, and Sonneratia apetala, respectively, resulting in 220 leaves.