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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 46, Iss. 8 — Mar. 10, 2007
  • pp: 1251–1260

Retrieval of pigment concentrations and size structure of algal populations from their absorption spectra using multilayered perceptrons

Annick Bricaud, Carlos Mejia, David Blondeau-Patissier, Hervé Claustre, Michel Crepon, and Sylvie Thiria  »View Author Affiliations


Applied Optics, Vol. 46, Issue 8, pp. 1251-1260 (2007)
http://dx.doi.org/10.1364/AO.46.001251


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Abstract

Spectral absorption coefficients of phytoplankton can now be derived, under some assumptions, from hyperspectral ocean color measurements and thus become accessible from space. In this study, multilayer perceptrons have been developed to retrieve information on the pigment composition and size structure of phytoplankton from these absorption spectra. The retrieved variables are the main pigment groups (chlorophylls a, b, c, and photosynthetic and nonphotosynthetic carotenoids) and the relative contributions of three algal size classes (pico-, nano-, and microphytoplankton) to total chlorophyll a. The networks have been trained, tested, and validated using more than 3700 simultaneous absorption and pigment measurements collected in the world ocean. Among pigment groups, chlorophyll a is the most accurately retrieved (average relative errors of 17% and 16% for the test and validation data subsets, respectively), while the poorest performances are found for chlorophyll b (average relative errors of 51% and 40%). Relative contributions of algal size classes to total chlorophyll a are retrieved with average relative errors of 19% to 33% for the test subset and of 18% to 47% for the validation subset. The performances obtained for the validation data, showing no strong degradation with respect to test data, suggest that these neural networks might be operated with similar performances for a large variety of marine areas.

© 2007 Optical Society of America

OCIS Codes
(010.0010) Atmospheric and oceanic optics : Atmospheric and oceanic optics
(010.4450) Atmospheric and oceanic optics : Oceanic optics
(010.7340) Atmospheric and oceanic optics : Water

History
Original Manuscript: June 6, 2006
Manuscript Accepted: August 29, 2006
Published: February 20, 2007

Virtual Issues
Vol. 2, Iss. 4 Virtual Journal for Biomedical Optics

Citation
Annick Bricaud, Carlos Mejia, David Blondeau-Patissier, Hervé Claustre, Michel Crepon, and Sylvie Thiria, "Retrieval of pigment concentrations and size structure of algal populations from their absorption spectra using multilayered perceptrons," Appl. Opt. 46, 1251-1260 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-8-1251


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References

  1. A. M. Ciotti, M. R. Lewis, and J. J. Cullen, "Assessment of the relationships between dominant cell size in natural phytoplankton communities and the spectral shape of the absorption coefficient," Limnol. Oceanogr. 47, 404-417 (2002). [CrossRef]
  2. A. Bricaud, H. Claustre, J. Ras, and K. Oubelkheir, "Natural variability of phytoplanktonic absorption in oceanic waters: influence of the size structure of algal populations," J. Geophys. Res.109, C11010 (2004).
  3. A. Bricaud and D. Stramski, "Spectral absorption coefficients of living phytoplankton and non-algal biogenous matter: a comparison between the Peru upwelling area and the Sargasso Sea," Limnol. Oceanogr. 35, 562-582 (1990). [CrossRef]
  4. C. S. Roesler and M. J. Perry, "In situ phytoplankton absorption, fluorescence emission, and particulate backscattering spectra determined from reflectance," J. Geophys. Res. 100, 13279-13294 (1995). [CrossRef]
  5. Z. P. Lee and K. L. Carder, "Absorption spectrum of phytoplankton pigments derived from hyperspectral remote-sensing reflectance," Remote Sens. Environ. 89, 361-368 (2003). [CrossRef]
  6. A. M. Ciotti and A. Bricaud, "Retrievals of a size parameter for phytoplankton and light absorption by colored detrital matter from water-leaving radiances at SeaWiFS channels in a continental shelf region off Brazil," Limnol. Oceanogr. Methods 4, 237-253 (2006). [CrossRef]
  7. A. Morel and A. Bricaud, "Theoretical results concerning light absorption in a discrete medium, and application to specific absorption of phytoplankton," Deep-Sea Res. 28, 1375-1393 (1981). [CrossRef]
  8. N. Hoepffner and S. Sathyendranath, "Determination of the major groups of phytoplankton pigments from the absorption spectra of total particulate matter," J. Geophys. Res. 98, 22789-22803 (1993). [CrossRef]
  9. V. Stuart, V. S. Sathyendranath, T. Platt, H. Maass, and B. D. Irwin, "Pigment and species composition of natural phytoplankton populations: effect on the absorption spectra," J. Plankton Res. 20, 187-217 (1998). [CrossRef]
  10. M. A. Faust and K. H. Norris, "In vivo spectrophotometric analysis of photosynthetic pigments in natural populations of phytoplankton," Limnol. Oceanogr. 30, 1316-1322 (1985). [CrossRef]
  11. R. R. Bidigare, J. H. Morrow, and D. A. Kiefer, "Derivative analysis of spectral absorption by photosynthetic pigments in the Western Sargasso sea," J. Mar. Res. 47, 323-341 (1989). [CrossRef]
  12. D. F. Millie, O. M. Schofield, G. J. Kirkpatrick, G. Johnsen, P. A. Tester, and B. T. Vinyard, "Detection of harmful algal blooms using photopigments and absorption signatures: a case study of the Florida red-tide dinoflagellate Gymnodinium breve," Limnol. Oceanogr. 42, 1240-1251 (1997). [CrossRef]
  13. G. Kirkpatrick, D. F. Millie, M. A. Moline, and O. Schofield, "Optical discrimination of a phytoplankton species in natural mixed populations," Limnol. Oceanogr. 45, 467-471 (2000). [CrossRef]
  14. G. Johnsen, O. Samset, L. Granskog, and E. Sakshaug, "In vivo absorption characteristics in 10 classes of bloom-forming phytoplankton: taxonomic characteristics and responses to photoadaptation by means of discriminant and HPLC analysis," Mar. Ecol. Prog. Ser. 105, 149-157 (1994). [CrossRef]
  15. S. Garver, D. A. Siegel, and B. G. Mitchell, "Variability in near-surface particulate absorption spectra: what can a satellite ocean color imager see?" Limnol. Oceanogr. 39, 1349-1367 (1994). [CrossRef]
  16. R. R. Bidigare, M. E. Ondrusek, J. H. Morrow, and D. A. Kiefer, "In vivo absorption properties of algal pigments," in Ocean Optics X, Proc. SPIE 1302,290-302 (1990).
  17. L. B. Eisner, M. S. Twardowski, and T. J. Cowles, "Resolving phytoplankton photoprotective: photosynthetic carotenoid ratios on fine scales using in situ spectral absorption measurements," Limnol. Oceanogr. 48, 632-646 (2003). [CrossRef]
  18. C. M. Bishop, Neural Networks for Pattern Recognition (Clarendon, 1995).
  19. S. Thiria, C. Mejia, F. Badran, and M. Crepon, "A neural network approach for modelling non-linear transfer functions: Application for wind retrieval from space borne scatterometer data," J. Geophys. Res. 98, 22827-22841 (1993). [CrossRef]
  20. H. Schiller and R. Doerffer, "Neural network for emulation of an inverse model--operational derivation of Case II water properties from MERIS data," Int. J. Remote Sens. 20, 1735-1746 (1999). [CrossRef]
  21. L. Gross, S. Thiria, R. Frouin, and B. G. Mitchell, "Artificial neural networks for modeling the transfer function between marine reflectance and phytoplankton pigment concentration," J. Geophys. Res. 105, 3483-3495 (2000). [CrossRef]
  22. L. Gross, R. Frouin, C. Dupouy, J. M. André, and S. Thiria, "Reducing variability that is due to secondary pigments in the retrieval of chlorophyll a concentration from marine reflectance: a case study in the western equatorial Pacific Ocean," Appl. Opt. 43, 4041-4054 (2004). [CrossRef] [PubMed]
  23. T. Zhang, F. Fell, Z. Liu, R. Preusker, J. Fischer, and M. He, "Evaluating the performance of artificial neural network techniques for pigment retrieval from ocean color in Case I waters," J. Geophys. Res.108, 3286 (2003).
  24. H. Claustre and J. C. Marty, "Specific phytoplankton biomasses and their relation to primary production in the tropical North Atlantic," Deep-Sea Res. , Part I 42, 1475-1493 (1995). [CrossRef]
  25. F. Vidussi, H. Claustre, J. Bustillos-Guzman, C. Cailliau, and J. C. Marty, "Rapid HPLC method for determination of phytoplankton chemotaxinomic pigments: separation of chlorophyll a from divinyl-chlorophyll a, and zeaxanthin from lutein," J. Plankton Res. 18, 2377-2382 (1996). [CrossRef]
  26. K. Allali, A. Bricaud, M. Babin, A. Morel, and P. Chang, "A new method for measuring spectral absorption coefficients of marine particles," Limnol. Oceanogr. 40, 1526-1532 (1995). [CrossRef]
  27. M. Kishino, M. Takahashi, N. Okami, and S. Ichimura, "Estimation of the spectral absorption coefficients of phytoplankton in the sea," Bull. Mar. Sci. 37, 634-642 (1985).
  28. F. Vidussi, H. Claustre, B. B. Manca, A. Luchetta, and J. C. Marty, "Phytoplankton pigment distribution in relation to upper thermocline circulation in the eastern Mediterranean Sea during winter," J. Geophys. Res. 106, 19939-19956 (2001). [CrossRef]
  29. J. Uitz, H. Claustre, A. Morel, and S. Hooker, "Vertical distribution of phytoplankton communities in open ocean: an assessment based on surface chlorophyll," J. Geophys. Res.111, C08005 (2006).
  30. H. R. Gordon and W. R. McCluney, "Estimation of the depth of sunlight penetration in the sea for remote sensing," Appl. Opt. 14, 413-416 (1975). [CrossRef] [PubMed]
  31. A. Morel and S. Maritorena, "Bio-optical properties of oceanic waters: a reappraisal," J. Geophys. Res. 106, 7763-7780 (2001). [CrossRef]
  32. A. Chazottes, A. Bricaud, M. Crépon, and S. Thiria, "Statistical analysis of a database of absorption spectra of phytoplankton and pigment concentrations using self-organizing maps," Appl. Opt. 45, 8102-8115 (2006).
  33. Z.-P. Lee, ed., Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications, IOCCG Rep. No. 5 (International Ocean Colour Coordinating Group, 2006). [PubMed]

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