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

Korosov, A. A.; Pozdnyakov, D. V.; Folkestad, Are; Pettersson, Lasse H.; Sørensen, Kai; Shuchman, Robert A.
Journal article
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URI
https://hdl.handle.net/1956/3194
Date
2009-03-10
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  • Nansen Environmental and Remote Sensing Center (NERSC) [62]
Original version
https://doi.org/10.3390/a2010470
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.
Publisher
Molecular Diversity Preservation International (MDPI)

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