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Provedor de dados:  ArchiMer
País:  France
Título:  Optical algorithms at satellite wavelengths for Total Suspended Matter in tropical coastal waters
Autores:  Ouillon, Sylvain
Douillet, Pascal
Petrenko, Anne
Neveux, Jacques
Dupouy, Cecile
Froidefond, Jean-marie
Andrefouet, Serge
Munoz-caravaca, Alain
Data:  2008-07
Ano:  2008
Palavras-chave:  Ocean color
Remote sensing
Sediment transport
Suspended matter
Turbidity
New Caledonia
Cuba
Fiji
Resumo:  Is it possible to derive accurately Total Suspended Matter concentration or its proxy, turbidity, from remote sensing data in tropical coastal lagoon waters? To investigate this question, hyperspectral remote sensing reflectance, turbidity and chlorophyll pigment concentration were measured in three coral reef lagoons. The three sites enabled us to get data over very diverse environments: oligotrophic and sediment-poor waters in the southwest lagoon of New Caledonia, eutrophic waters in the Cienfuegos Bay (Cuba), and sediment-rich waters in the Laucala Bay (Fiji). In this paper, optical algorithms for turbidity are presented per site based on 113 stations in New Caledonia, 24 stations in Cuba and 56 stations in Fiji. Empirical algorithms are tested at satellite wavebands useful to coastal applications. Global algorithms are also derived for the merged data set (193 stations). The performances of global and local regression algorithms are compared. The best one-band algorithms on all the measurements are obtained at 681 nm using either a polynomial or a power model. The best two-band algorithms are obtained with R412/R620, R443/R670 and R510/R681. Two three-band algorithms based on Rrs620. Rrs681/Rrs412 and Rrs620. Rrs681/Rrs510 also give fair regression statistics. Finally, we propose a global algorithm based on one or three bands: turbidity is first calculated from Rrs681 and then, if < 1 FTU, it is recalculated using an algorithm based on Rrs620. Rrs681/Rrs412. On our data set, this algorithm is suitable for the 0.2-25 FTU turbidity range and for the three sites sampled (mean bias: 3.6 %, rms: 35%, mean quadratic error: 1.4 FTU). This shows that defining global empirical turbidity algorithms in tropical coastal waters is at reach.
Tipo:  Text
Idioma:  Inglês
Identificador:  https://archimer.ifremer.fr/doc/00203/31417/29808.pdf

DOI:10.3390/s8074165

https://archimer.ifremer.fr/doc/00203/31417/
Editor:  Molecular Diversity Preservation Int
Formato:  application/pdf
Fonte:  Sensors (1424-8220) (Molecular Diversity Preservation Int), 2008-07 , Vol. 8 , N. 7 , P. 4165-4185
Direitos:  2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).

info:eu-repo/semantics/openAccess

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