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Open AccessArticle

Semi-empirical Algorithm for the Retrieval of Ecology-Relevant Water Constituents in Various Aquatic Environments

1
Nansen International Environmental and Remote Sensing Centre / 14th line 7, St. Petersburg, Russia
2
Nansen Environmental and Remote Sensing Centre / Thormohlensgt. 47, Bergen, Norway
3
Norwegian Institute for Water Research / Gaustadalleen 21Oslo, Norway
4
Michigan Tech Research Institute / 3600 Green Court, Suite 100, Ann Arbor, USA
*
Author to whom correspondence should be addressed.
Algorithms 2009, 2(1), 470-497; https://doi.org/10.3390/a2010470
Received: 27 October 2008 / Revised: 11 January 2009 / Accepted: 25 February 2009 / Published: 10 March 2009
(This article belongs to the Special Issue Sensor Algorithms)
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. View Full-Text
Keywords: satellite remote sensing; water quality; operational algorithm satellite remote sensing; water quality; operational algorithm
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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.

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