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.
Keywords: satellite remote sensing; water quality; operational algorithm
This is an open access article distributed under the
Creative Commons Attribution License which permits unrestricted use, distribution,
and reproduction in any medium, provided the original work is properly cited.
Export to BibTeX
MDPI and ACS Style
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.