Inter‐comparison of ocean colour data products during algal blooms in the Skagerrak

References

• Aiken , J. and Moore , G. 2000 . “ Case 2 (S) Bright Pixel Atmospheric Correction. ” . In MERIS ATBD 2.6 , Plymouth , , UK : Plymouth Marine Laboratory .
   Google Scholar
• Antoine , D. and Morel , A. 1999 . A multiple scattering algorithm for atmospheric correction of remotely sensed ocean colour (MERIS instrument): principle and implementation for atmospheres carrying various aerosols including absorbing ones. . International Journal of Remote Sensing , 20 : 1875 – 1916 .
   Web of Science ®Google Scholar
• Antoine , D. and Morel , A. 2000 . “ Atmospheric Correction over the Ocean (Case 1 waters). ” . MERIS ATBD 2.7 (Laboratoire de Physique et Chimie Marines, France)
   Google Scholar
• Barnes , R. , Clark , D. , Esaias , W. , Fargion , G. , Feldman , G. and McClain , C. 2003 . Development of a consistent multi‐sensor global ocean colour time series. . International Journal of Remote Sensing , 24 : 4047 – 4064 .
   Web of Science ®Google Scholar
• Berge , G and Føyn , L , eds. 1988 . “ Chrysocromulina polylepis report: Rapport om oppblomstringen av Chrysocromulina polylepis i mai–juni 1988. ” . Overvåkning, varsling og oppfølgende tiltak. Institute of Marine Research, Bergen
   Google Scholar
• Blondeau‐Patissier , D. , Tilstone , G. , Martinez‐Vicente , V. and Moore , G. 2004 . Comparison of bio‐physical marine products from SeaWiFS, MODIS and a bio‐optical model with in situ measurements from Northern European waters. . Journal of Optics A‐Pure and Applied Optics , 6 : 875 – 889 .
   Google Scholar
• Carder , K. L. , Chen , F. R. , Lee , Z. , Hawes , S. K. and Cannizzaro , J. P. 2003 . “ Case 2 Chlorophyll a. ” . In MODIS Ocean Science Team Algorithm Theoretical Basis Document, ATBD 19 , St. Petersburg, Florida , , USA : College of Marine Science, University of South Florida . version 7
   Google Scholar
• Darecki , M. and Stramski , D. 2004 . An evaluation of MODIS and SeaWiFS bio‐optical algorithms in the Baltic Sea. . Remote Sensing of Environment , 89 : 326 – 350 .
   Web of Science ®Google Scholar
• Doerffer , R. , Sorensen , K. and Aiken , J. 1999 . MERIS potential for coastal zone applications. . International Journal of Remote Sensing , 20 : 1809 – 1818 .
   Web of Science ®Google Scholar
• Doerffer , R. 2002 . Protocols for the validation of MERIS water products European Space Agency Doc. No. PO‐TN‐MEL‐GS‐0043
   Google Scholar
• Dundas , I. , Johannessen , O. M. , Berge , G. and Heimdal , B. R. 1989 . Toxic Algal Bloom in Scandinavian Waters, May–June 1988. . Oceanography , 2 : 9 – 14 .
   Google Scholar
• Durand , D. , Pettersson , L. H. , Johannessen , O. M. , Svendsen , E. , Søiland , H. and Skogen , M. 2002 . “ Satellite observation and model prediction of toxic algae bloom. ” . In Operational oceanography – Implementation at the European and regional scales , 505 – 515 . The Netherlands : Elsevier Oceanography Series Vol. 66 . editor‐in‐chief N.C. Flemming
   Google Scholar
• Esaias , W. , Abbott , M. , Barton , I. , Brown , O. , Campbell , J. , Carder , K. , Clark , D. , Evans , R. , Hoge , F. , Gordon , H. , Balch , W. , Letelier , R. and Minnett , P. 1998 . An overview of MODIS capabilities for ocean science observations. . IEEE Transactions on Geoscience and Remote Sensing , 36 : 1250 – 1265 .
   Web of Science ®Google Scholar
• Feldman GC, McClain CR. 2005a. Ocean Color Validation, Ocean Color Web, edited by Kuring, N., Bailey, S. W., Thomas, D., Franz, B. F., Meister, G., Werdell, P. J., Eplee, R. E., MacDonald, M., and Rubens, M.. NASA Goddard Space Flight Center. 29 August 2005. http://oceancolor.gsfc.nasa.gov/VALIDATION/
   Google Scholar
• Feldman GC, McClain CR. 2005b. MODISAqua Ocean Reprocessing 1.1, Ocean Color Web, edited by Kuring, N., Bailey, S. W., Thomas, D., Franz, B. F., Meister, G., Werdell, P. J., Eplee, R. E., MacDonald, M., and Rubens, M. NASA Goddard Space Flight Center. 29 August 2005. http://oceancolor.gsfc.nasa.gov/REPROCESSING/Aqua/R1.1/
   Google Scholar
• Fournier‐Sicre , V. and Belanger , S. 2002 . “ Intercomparison of SeaWiFS and MERIS marine products on Case 1 waters. ” . In Proceedings of Envisat Validation Workshop, 9–13 December 2002 (ESA SP‐531, August 2003) (Frascati, Italy)
   Google Scholar
• Franz , B. 2005 . “ The Continuity of Ocean Color Measurements from SeaWiFS to MODIS. ” . In SPIE Earth Observing Systems X 31 July–4 August 2005
   Google Scholar
• Gordon , H. R. and Wang , M. 1994 . Retrieval of water‐leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: a preliminary algorithm. . Applied Optics , 33 : 443 – 452 .
   PubMed Web of Science ®Google Scholar
• Gower , J. and Borstad , G. 2004 . On the potential of MODIS and MERIS for imaging chlorophyll fluorescence from space. . International Journal of Remote Sensing , 25 : 1459 – 1464 .
   Web of Science ®Google Scholar
• Gregg , W. , Esaias , W. , Feldman , G. , Frouin , R. , Hooker , S. , McClain , C. and Woodward , R. 1998 . Coverage opportunities for global ocean color in a multimission era. . IEEE Transactions on Geoscience and Remote Sensing , 36 : 1620 – 1627 .
   Web of Science ®Google Scholar
• Hooker , S. B. , Esaias , W. E. , Feldman , G. C. , Gregg , W. W. and McClain , C. R. 1992 . “ An Overview of SeaWiFS and Ocean Color. ” . In SeaWiFS Technical Report Series , 1 – 24 with 5 colour plates . Greenbelt , Maryland : NASA Goddard Space Flight Center . NASA TM 1992‐104566, Vol. 1, edited by S. B. Hooker and E. R. Firestone
   Google Scholar
• Horstmann , U. , Lu , D. , Göbel , J. , Davidof , A. , Dahl , E. and Kaas , H. 1998 . “ Tracing a toxic algal bloom of Chattonella around the southern Norway and West Jutland, using MOS and SeaWiFS satellite data. ” . In 2^nd International Workshop on MOS‐IRS and Ocean Colour , 303 – 311 . Berlin : Wissenschaft und Technik Verl .
   Google Scholar
• Hu , C. , Carder , K. and Muller‐Karger , F. 2000 . How precise are SeaWiFS ocean color estimates? Implications of digitization‐noise errors. . Remote Sensing of Environment , 76 : 239 – 249 .
   Web of Science ®Google Scholar
• Johannessen , O. M. , Olaussen , T. I. , Pettersson , L. H. , Johannessen , J. A. , Haugan , P. M. , Kloster , K. , Sandven , S. , Hansen , L. and Geiger , C. 1989 . “ The Toxic Algal Bloom in May 1988, with recommendations for future application of remote sensing. ” . In NRSC Special Report No. 1 for the Norwegian Space Centre
   Google Scholar
• Lee , Z. and Carder , K. 2002 . Effect of spectral band numbers on the retrieval of water column and bottom properties from ocean color data. . Applied Optics , 41 : 2191 – 2201 .
   PubMed Web of Science ®Google Scholar
• MERIS Quality Working Group . 2005 . “ MERIS 2nd reprocessing: Changes description. ” . 01/08/2005 –Version 1
   Google Scholar
• Moore , G. , Aiken , J. and Lavender , S. J. 1999 . The atmospheric correction of water colour and the quantitative retrieval of suspended particulate matter in Case II waters: application to MERIS. . International Journal of Remote Sensing , 20 : 1713 – 1733 .
   Web of Science ®Google Scholar
• Morel , A. and Antoine , D. 2000 . “ Pigment Index Retrieval in Case 1 Waters. ” . In MERIS ATBD 2.9 , France : Laboratorie de Physique et Chimie Marines .
   Google Scholar
• O'Reilly , J. , Maritorena , S. , Mitchell , B. , Siegel , D. , Carder , K. , Garver , S. , Kahru , M. and McClain , C. 1998 . Ocean color chlorophyll algorithms for SeaWiFS. . Journal of Geophysical Research , 103 : 24937 – 24953 .
   Web of Science ®Google Scholar
• O'Reilly , J. E. , Maritorena , S. , Siegel , D. , O'Brien , M. C. , Toole , D. , Mitchell , B. G. , Kahru , M. , Chavez , F. P. , Strutton , P. , Cota , G. , Hooker , S. B. , McClain , C. R. , Carder , K. L. , Muller‐Karger , F. , Harding , L. , Magnuson , A. , Phinney , D. , Moore , G. F. , Aiken , J. , Arrigo , K. R. , Letelier , R. and Culver , M. 2000 . “ Ocean color chlorophyll a algorithms for SeaWiFS, OC2, and OC4: Version 4. ” . In SeaWiFS Postlaunch Technical Report Series , 9 – 23 . Greenbelt, Maryland , , USA : NASA Goddard Space Flight Center . Vol. 11, edited by S. B. Hooker, and E. R. Firestone
   Google Scholar
• Pettersson , L. H. , Durand , D. , Svendsen , E. and Søiland , H. 2000 . “ DeciDe for near real‐time use of ocean colour data in management of harmful algae blooms. Satellite EO monitoring of the harmful algae bloom of Chattonella in the North Sea in April–May 2000. ” . In NERSC Technical Report no. 199 , 34 Bergen , , Norway : Nansen Environmental and Remote Sensing Center .
   Google Scholar
• Pettersson , L. H. , Allan , J. I. , Andersen , P. , Figueras , F. G. , Groom , S. , Kaitala , S. , Karlson , B. , Lorentzen , T. , Miller , P. , Naustvoll , L. J. , Neumann , A. , Skogen , M. , Stipa , T. , Svendsen , E. and Torres , R. 2005 . “ Final scientific report under Harmful Algal Bloom Initiation and Prediction in Large European Marine Ecosystems – HABILE, EC FP5 contract EVK3‐CT2001‐00063. ” . In NERSC Technical Report no. 259 February
   Google Scholar
• Rast , M. , Bezy , J. and Bruzzi , S. 1999 . The ESA Medium Resolution Imaging Spectrometer MERIS – a review of the instrument and its mission. . International Journal of Remote Sensing , 20 : 1681 – 1702 .
   Web of Science ®Google Scholar
• Siegel , D. , Wang , M. , Maritorena , S. and Robinson , W. 2000 . Atmospheric correction of satellite ocean color imagery: the black pixel assumption. . Applied Optics , 39 : 3582 – 3591 .
   PubMed Web of Science ®Google Scholar
• SÆthre , R. and Mork , M. 1981 . The Norwegian Coastal Current , Bergen : University of Bergen Press .
   Google Scholar
• SØrensen , K. , Aas , E. , Høkedal , J. , Severinsen , G. , Doerffer , R. and Dahl , E. 2003 . “ Validation of MERIS water products in the Skagerrak. ” . In Proceedings from Envisat MAVT‐2003 – Working meeting on MERIS and AATSR Calibration and Geophysical Validation ESA(CD‐ROM)
   Google Scholar
• Zibordi , G. , Melin , F. , Hooker , S. , D'Alimonte , D. and Holbert , B. 2004 . An autonomous above‐water system for the validation of ocean color radiance data. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 401 – 415 .
   Web of Science ®Google Scholar