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Phytoplankton pigment absorption data from algal-bloom-dominated waters are highly desirable to better understand the primary productivity and carbon uptake by algal biomass in a regional scale. However, retrieving phytoplankton pigment absorption coefficients, in turbid and hypereutrophic waters, from above-surface remote sensing reflectance (R _rs ) is often challenging because of the optical complexity of the water body. In this paper, a quasi-analytical algorithm has been parameterized using in situ data to retrieve inherent optical properties from R _rs (λ) in highly turbid productive aquaculture ponds, where the phytoplankton absorption coefficient (3.44-37.67 m ^-1 ) contributes 54 % of the total absorption at 443 nm (4.99-47.21 m ^-1 ). The model was validated using an independent data set by comparing the model-derived optical parameters with in situ measured values. The absolute percentage error …