CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters
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 com...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2015-11-01
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| Series: | Earth System Science Data |
| Online Access: | http://www.earth-syst-sci-data.net/7/319/2015/essd-7-319-2015.pdf |
| _version_ | 1819236960464535552 |
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| author | B. Nechad K. Ruddick T. Schroeder K. Oubelkheir D. Blondeau-Patissier N. Cherukuru V. Brando A. Dekker L. Clementson A. C. Banks S. Maritorena P. J. Werdell C. Sá V. Brotas I. Caballero de Frutos Y.-H. Ahn S. Salama G. Tilstone V. Martinez-Vicente D. Foley M. McKibben J. Nahorniak T. Peterson A. Siliò-Calzada R. Röttgers Z. Lee M. Peters C. Brockmann |
| author_facet | B. Nechad K. Ruddick T. Schroeder K. Oubelkheir D. Blondeau-Patissier N. Cherukuru V. Brando A. Dekker L. Clementson A. C. Banks S. Maritorena P. J. Werdell C. Sá V. Brotas I. Caballero de Frutos Y.-H. Ahn S. Salama G. Tilstone V. Martinez-Vicente D. Foley M. McKibben J. Nahorniak T. Peterson A. Siliò-Calzada R. Röttgers Z. Lee M. Peters C. Brockmann |
| author_sort | B. Nechad |
| collection | DOAJ |
| description | 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 <a href="http://dx.doi.org/10.1594/PANGAEA.841950">doi:10.1594/PANGAEA.841950</a>.
<br><br>
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 <i>a</i> (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. |
| first_indexed | 2024-12-23T13:12:44Z |
| format | Article |
| id | doaj.art-30efc89e24cf4cf7ba5ec5b78d696888 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-12-23T13:12:44Z |
| publishDate | 2015-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-30efc89e24cf4cf7ba5ec5b78d6968882022-12-21T17:45:41ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162015-11-017231934810.5194/essd-7-319-2015CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal watersB. Nechad0K. Ruddick1T. Schroeder2K. Oubelkheir3D. Blondeau-Patissier4N. Cherukuru5V. Brando6A. Dekker7L. Clementson8A. C. Banks9S. Maritorena10P. J. Werdell11C. Sá12V. Brotas13I. Caballero de Frutos14Y.-H. Ahn15S. Salama16G. Tilstone17V. Martinez-Vicente18D. Foley19M. McKibben20J. Nahorniak21T. Peterson22A. Siliò-Calzada23R. Röttgers24Z. Lee25M. Peters26C. Brockmann27Operational Directorate Natural Environment, Royal Belgian Institute for Natural Sciences (RBINS/ODNE), 100 Gulledelle Brussels, 1200, BelgiumOperational Directorate Natural Environment, Royal Belgian Institute for Natural Sciences (RBINS/ODNE), 100 Gulledelle Brussels, 1200, BelgiumCommonwealth Scientific and Industrial Research Organisation (CSIRO), Land and Water, Environmental Earth Observation Program, P.O. Box 2583, Brisbane, QLD 2001, AustraliaCommonwealth Scientific and Industrial Research Organisation (CSIRO), Land and Water, Environmental Earth Observation Program, P.O. Box 2583, Brisbane, QLD 2001, AustraliaCharles Darwin University, 0815 Darwin, AustraliaCommonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, AustraliaCommonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, AustraliaCommonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, AustraliaCommonwealth Scientific and Industrial Research Organisation (CSIRO), P.O. Box 1666, Canberra, ACT, AustraliaHellenic Centre for Marine Research (HCMR), Institute of Oceanography, P.O. Box 2214, Heraklion 71003, Crete, GreeceEarth Research Institute (ERI), University of California, Santa Barbara, CA 93106-3060, USANASA Goddard Space Flight Center, Greenbelt, MD 20771, USAMarine and Environmental Sciences Centre (MARE), Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, PortugalMarine and Environmental Sciences Centre (MARE), Faculdade de Ciências da Universidade de Lisboa, Campo Grande, 1749-016 Lisbon, PortugalInstitute of Marine Sciences of Andalucia (ICMAN-CSIC) Puerto Real-Cádiz, 11519, SpainKorea Ocean Research & Development Institute (KORDI), Ansan, P.O. Box 29, 425–600, South KoreaFaculty of Geo-information Science and Earth Observation (ITC), Department of Water Resource, University of Twente, Hengelosestraat 99, 7500 AA Enschede, the NetherlandsPlymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UKPlymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UKNational Oceanic and Atmospheric Administration (NOAA), Southwest Fisheries Science Center, 110 Shaffer Road, Santa Cruz, CA 95060, USACollege of Earth, Ocean and Atmospheric Sciences (CEOAS), Oregon State University, Corvallis, OR, USACollege of Earth, Ocean and Atmospheric Sciences (CEOAS), Oregon State University, Corvallis, OR, USACenter for Coastal Margin Observation and Prediction and Institute of Environmental Health, Oregon Health and Science University, 3181 SW Sam, Jackson Park Road, Portland, Oregon 97239, USAEnvironmental Hydraulics Institute of the University of Cantabria, Cantabria, SpainInstitute of Coastal Research, Helmholtz-Zentrum Geesthacht, Centre for Materials and Coastal Research, Max-Plank-Str. 1, 21502 Geesthacht, GermanySchool for the Environment, University of Massachusetts Boston, Boston, MA 02125, USABrockmann Consult, Max-Planck-Str. 2, 21502 Geesthacht, GermanyBrockmann Consult, Max-Planck-Str. 2, 21502 Geesthacht, GermanyThe 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 <a href="http://dx.doi.org/10.1594/PANGAEA.841950">doi:10.1594/PANGAEA.841950</a>. <br><br> 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 <i>a</i> (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.http://www.earth-syst-sci-data.net/7/319/2015/essd-7-319-2015.pdf |
| spellingShingle | B. Nechad K. Ruddick T. Schroeder K. Oubelkheir D. Blondeau-Patissier N. Cherukuru V. Brando A. Dekker L. Clementson A. C. Banks S. Maritorena P. J. Werdell C. Sá V. Brotas I. Caballero de Frutos Y.-H. Ahn S. Salama G. Tilstone V. Martinez-Vicente D. Foley M. McKibben J. Nahorniak T. Peterson A. Siliò-Calzada R. Röttgers Z. Lee M. Peters C. Brockmann 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 |
| title | CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters |
| title_full | CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters |
| title_fullStr | CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters |
| title_full_unstemmed | CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters |
| title_short | CoastColour Round Robin data sets: a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters |
| title_sort | coastcolour round robin data sets a database to evaluate the performance of algorithms for the retrieval of water quality parameters in coastal waters |
| url | http://www.earth-syst-sci-data.net/7/319/2015/essd-7-319-2015.pdf |
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