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We report results of three field campaigns conducted at 39 stations. At each station, we measured reflectance spectra in situ and collected water samples for measuring chlorophyll a (CHL) and suspended solids (SS) concentrations in the laboratory. To identify the indicative bands and develop suitable estimation models for CHL (C CHL) and SS (C SS) concentrations in Taihu Lake, a spectral-feature method and a derivative method were applied. The following conclusions were drawn: (a) the critical C CHL and C SS probably causing their spectral variation are, respectively: 0, 10, 50 and 75 μg L−1, and 0, 10, 50 and 100 mg L−1; (b) the derivative method is better than the spectral-feature method for estimating C CHL and C SS; (c) the optimal variable for CHL is a reflectance second-order derivative at 501 nm or a reflectance first-order derivative at 698 nm; the optimal variable for SS can change when its concentration is low and the range is narrow; otherwise, the optimal variable is a reflectance first-order derivative at 878 nm; and (d) the CHL and SS have an effect on one another's retrieval. The C CHL estimation accuracy would benefit from narrowing the C SS range. With C CHL increasing and its range broadening, the corresponding C SS estimation accuracy decreases gradually.
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Ma et al. (2007) studied this question.
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