Ocean color algorithm published by the Nansen Centers in St. Petersburg and Bergen.

Anton Korosov, Dmitry Pozdnyakov and Lasse H. Pettersson and co -authors have published the paper "Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments" in Algorithms - an Open-Access Journal of Computer Science, Theory, Methods and Interdisciplinary Applications, Data and Information Systems, Software Engineering, Artificial Intelligence, Automation and Control Systems.

The paper addresses 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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