Abstract: An advanced operational semi-empirical algorithm for processing satellite remote sensing data in the visible region is described. Based on the Levenberg-Marquardt multivariate optimization procedure, the algorithm is developed for retrieving major water colour producing agents: chlorophyll-a, suspended minerals and dissolved organics. Two assurance units incorporated by the algorithm are intended to flag pixels with inaccurate atmospheric correction and specific hydro-optical properties not covered by the applied hydro-optical model. The hydro-optical model is a set of spectral cross-sections of absorption and backscattering of the colour producing agents. The combination of the optimization procedure and a replaceable hydro-optical model makes the developed algorithm not specific to a particular satellite sensor or a water body. The algorithm performance efficiency is amply illustrated for SeaWiFS, MODIS and MERIS images over a variety of water bodies.
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Korosov, A.A.; Pozdnyakov, D.V.; Folkestad, A.; Pettersson, L.H.; Sørensen, K.; Shuchman, R. Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments. Algorithms 2009, 2, 470-497.
Korosov AA, Pozdnyakov DV, Folkestad A, Pettersson LH, Sørensen K, Shuchman R. Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments. Algorithms. 2009; 2(1):470-497.
Korosov, Anton A.; Pozdnyakov, Dmitry V.; Folkestad, Are; Pettersson, Lasse H.; Sørensen, Kai; Shuchman, Robert. 2009. "Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments." Algorithms 2, no. 1: 470-497.