SeaWiFS discrimination of harmful algal bloom evolution

References

• Anderson , D. M. , Glibert , P. M. and Burkholder , J. M. 2002 . Harmful algal blooms and eutrophication: Nutrient sources, composition, and consequences. . Estuaries , 25 : 704 – 726 .
   Google Scholar
• Aure , J. , Dahl , E. , Danielssen , D. S. and SØiland , H. 2000 . “ Chattonella— a new harmful algae in Norwegian coastal waters. ” . In Fisken og Havet Vol. 2 , (Special issue on environmental status of Norwegian oceans [in Norwegian]). Institute of Marine Research, Bergen
   Google Scholar
• Flury , B. and Riedwyl , H. 1988 . Multivariate statistics: a practical approach , London : Chapman and Hall .
   Google Scholar
• Gordon , H. R. , Boynton , G. C. , Balch , W. M. , Groom , S. B. , Harbour , D. S. and Smyth , T. J. 2001 . Retrieval of coccolithophore calcite concentration from SeaWiFS imagery. . Geophysical Research Letters , 28 : 1587 – 1590 .
   Web of Science ®Google Scholar
• Gordon , H. R. and Wang , M. H. 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
• Groom , S. B. , Tarran , G. A. and Smyth , T. J. 2000 . Red‐tide outbreak in the English Channel. . Backscatter , : 8 – 11 . Fall
   Google Scholar
• Hassink , U. 2004 . HELCOM: 30 years of protecting the Baltic Sea
   Google Scholar
• Hoge , F. E. , Wright , C. W. , Lyon , P. E. , Swift , R. N. and Yungel , J. K. 1999 . Satellite retrieval of inherent optical properties by inversion of an oceanic radiance model: a preliminary algorithm. . Applied Optics , 38 : 495 – 504 .
   PubMed Web of Science ®Google Scholar
• Holligan , P. M. , Viollier , M. , Dupouy , C. and Aiken , J. 1983 . Satellite studies on the distributions of chlorophyll and dinoflagellate blooms in the western English Channel. . Continental Shelf Research , 2 : 81 – 96 .
   Web of Science ®Google Scholar
• Kahru , M. , Leppanen , J. M. , Rud , O. and Savchuk , O. P. 2000 . Cyanobacteria blooms in the Gulf of Finland triggered by saltwater inflow into the Baltic Sea. . Marine Ecology‐Progress Series , 207 : 13 – 18 .
   Web of Science ®Google Scholar
• Kelly‐Gerreyn , B. A. , Qurban , M. A. , Hydes , D. J. , Miller , P. and Fernand , L. 2004 . “ Coupled “FerryBox” Ship of Opportunity and satellite data observations of plankton succession across the European Shelf Sea and Atlantic Ocean. ” . In International Council for the Exploration of the Sea (ICES) Annual Science Conference 22‐25 September, Vigo, Spain
   Google Scholar
• Lavender , S. J. and Groom , S. B. 1999 . The SeaWiFS automatic data processing system (SeaAPS). . International Journal of Remote Sensing , 20 : 1051 – 1056 .
   Web of Science ®Google Scholar
• Liew , S. C. , Kwoh , L. K. and Lim , H. 2000 . “ Classification of algal bloom types from remote sensing reflectance. ” . In 21st Asian Conference on Remote Sensing GISdevelopment.net, 4‐8 December, Taipei, Taiwan
   Google Scholar
• Millie , D. F. , Schofield , O. M. , Kirkpatrick , G. J. , Johnsen , G. , Tester , P. A. and Vinyard , B. T. 1997 . Detection of harmful algal blooms using photopigments and absorption signatures: A case study of the Florida red tide dinoflagellate, Gymnodinium breve. . Limnology and Oceanography , 42 : 1240 – 1251 .
   Web of Science ®Google Scholar
• Moore , G. F. , 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
• Pettersson , L. H. , Durand , D. , Johannessen , A. M. , Svendsen , E. , Noji , T. , Soiland , H. , Groom , S. and Regner , P. 2001 . Monitoring and model predictions of harmful algae blooms in Norwegian waters. . Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS'01), 9‐13 July, Sydney. IEEE , 3 : 1146 – 1148 . doi: 10.1109/IGARSS2001.976773
   Google Scholar
• Pettersson , L. H. , Furevik , B. R. , Durand , D. and Johannessen , J. A. 2003 . “ Synergies in marine applications of ocean colour, infrared and SAR satellite EO data. ” . Technical report no. 242, Nansen Environmental and Remote Sensing Center
   Google Scholar
• Raine , R. , O'Boyle , S. , O'Higgins , T. , White , M. , Patching , J. , Cahill , B. and McMahon , T. 2001 . A satellite and field portrait of a Karenia mikimotoi bloom off the south coast of Ireland, August 1998. . Hydrobiologia , 465 : 187 – 193 .
   Web of Science ®Google Scholar
• Rantajärvi , E. 2003 . “ Alg@line in 2003: 10 years of innovative plankton monitoring and research and operational information service in the Baltic Sea. ” . Vol. 48 , MERI Report Series of the Finnish Institute of Marine Research
   Google Scholar
• Schofield , O. , Grzymski , J. , Bissett , W. P. , Kirkpatrick , G. J. , Millie , D. F. , Moline , M. and Roesler , C. S. 1999 . Optical monitoring and forecasting systems for harmful algal blooms: Possibility or pipe dream? . Journal of Phycology , 35 : 1477 – 1496 .
   Web of Science ®Google Scholar
• Smith , T. J. , Moore , G. F. , Hirata , T. and Aiken , J. A semi‐analytical model for the derivation of ocean colour inherent optical properties: description, implementation and performance assessment. . Applied Optics , submitted
   Google Scholar
• Stumpf , R. P. , Culver , M. E. , Tester , P. A. , Tomlinson , M. , Kirkpatrick , G. J. , Pederson , B. A. , Truby , E. , Ransibrahmanakul , V. and Soracco , M. 2003 . Monitoring Karenia brevis blooms in the Gulf of Mexico using satellite ocean color imagery and other data. . Harmful Algae , 2 : 147 – 160 .
   Web of Science ®Google Scholar
• Van Dolah , F. M. 2000 . Marine algal toxins: Origins, health effects, and their increased occurrence. . Environmental Health Perspectives , 108 : 133 – 141 .
   PubMed Web of Science ®Google Scholar