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CoastColour Round Robin data sets: A database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters

Nechad, B., Ruddick, K., Schroeder, T., Oubelkheir, K., Blondeau-Patissier, David, Cherukuru, N., Brando, V., Dekker, A., Clementson, L. A., Banks, A., Maritorena, S., Werdell, P., Sa, C., Brotas, V., Caballero de Frutos, I., Ahn, Y. H., Salama, S., Tilstone, G., Martinez-Vicente, Vi., Foley, D. and et al. (2015). CoastColour Round Robin data sets: A database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters. Earth System Science Data,7(2):319-348.

Document type: Journal Article
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IRMA ID 81144320xPUB98
Title CoastColour Round Robin data sets: A database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters
Author Nechad, B.
Ruddick, K.
Schroeder, T.
Oubelkheir, K.
Blondeau-Patissier, David
Cherukuru, N.
Brando, V.
Dekker, A.
Clementson, L. A.
Banks, A.
Maritorena, S.
Werdell, P.
Sa, C.
Brotas, V.
Caballero de Frutos, I.
Ahn, Y. H.
Salama, S.
Tilstone, G.
Martinez-Vicente, Vi.
Foley, D.
et al.
Journal Name Earth System Science Data
Publication Date 2015
Volume Number 7
Issue Number 2
ISSN 1866-3508   (check CDU catalogue  open catalogue search in new window)
Scopus ID 2-s2.0-84948401581
Start Page 319
End Page 348
Total Pages 30
Place of Publication Germany
Publisher Copernicus GmbH
HERDC Category C1 - Journal Article (DIISR)
Abstract The use of in situ measurements is essential in the validation and evaluation of the algorithms that provide coastal water quality data products from ocean colour satellite remote sensing. Over the past decade, various types of ocean colour algorithms have been developed to deal with the optical complexity of coastal waters. Yet there is a lack of a comprehensive intercomparison due to the availability of quality checked in situ databases. The CoastColour Round Robin (CCRR) project, funded by the European Space Agency (ESA), was designed to bring together three reference data sets using these to test algorithms and to assess their accuracy for retrieving water quality parameters. This paper provides a detailed description of these reference data sets, which include the Medium Resolution Imaging Spectrometer (MERIS) level 2 match-ups, in situ reflectance measurements, and synthetic data generated by a radiative transfer model (HydroLight). These data sets, representing mainly coastal waters, are available from doi:10.1594/PANGAEA.841950.

The data sets mainly consist of 6484 marine reflectance (either multispectral or hyperspectral) associated with various geometrical (sensor viewing and solar angles) and sky conditions and water constituents: total suspended matter (TSM) and chlorophyll a (CHL) concentrations, and the absorption of coloured dissolved organic matter (CDOM). Inherent optical properties are also provided in the simulated data sets (5000 simulations) and from 3054 match-up locations. The distributions of reflectance at selected MERIS bands and band ratios, CHL and TSM as a function of reflectance, from the three data sets are compared. Match-up and in situ sites where deviations occur are identified. The distributions of the three reflectance data sets are also compared to the simulated and in situ reflectances used previously by the International Ocean Colour Coordinating Group (IOCCG, 2006) for algorithm testing, showing a clear extension of the CCRR data which covers more turbid waters.
DOI http://dx.doi.org/10.5194/essd-7-319-2015   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
Additional Notes This is an Open Access article distributed under the terms of the Creative Commons Attribution License 3.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Description for Link Link to CC Attribution 3.0 License
URL https://creativecommons.org/licenses/by/3.0/au


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