Deriving inherent optical properties through training samples with known concentration of water constituents and reflectance spectra

YANG Wei, Matsushita Bunkei, CHEN Jin
2009 Journal of Lake Sciences  
Coefficients of absorption and backscattering are inherent optical properties (IOPs) of water, which play extraordinarily important roles in the detection of water constituent concentrations. However, it is very complicate and time-consuming to measure the IOPs of waters. In this study, a novel algorithm was proposed to derive the IOPs of water constituents through training samples with measured constituents' concentrations and reflectance spectra. Simulated data based on bio-optical model was
more » ... -optical model was used to assess the proposed algorithm. Results demonstrated that when the spectra of samples satisfied the analytical model and the training samples were independent each other, the performance of the algorithm can be accepted, which indicates that the algorithm proposed in this paper is theoretically reasonable.
doi:10.18307/2009.0208 fatcat:7wyeybur2ve6vpih7r4gxrxlbi