Abstract
We present here results that strongly support the use of NIR-red algorithms, developed based on the spectral channels of MERIS, as standard tools for estimating chlorophyll-a (chl-a) concentration in turbid productive waters. We used an extensive set of MERIS imagery and in situ data collected between 2008 and 2010 in the Azov Sea and the Taganrog Bay, Russia. The overall estimation errors were only 5.5% of the total range of chl-a concentrations measured, illustrating the high accuracy of the MERIS-based NIR-red algorithms without the need for case-specific re-parameterization. The NIR-red algorithms were also applied to a series of images acquired by HICO over the same region in 2012–13, after the demise of MERIS. The results demonstrated the strong potential of HICO as a reliable tool for determining coastal water quality.
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