OSA's Digital Library

Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 45, Iss. 15 — May. 20, 2006
  • pp: 3577–3592

Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results

Giorgio Dall'Olmo and Anatoly A. Gitelson  »View Author Affiliations


Applied Optics, Vol. 45, Issue 15, pp. 3577-3592 (2006)
http://dx.doi.org/10.1364/AO.45.003577


View Full Text Article

Enhanced HTML    Acrobat PDF (5184 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Most algorithms for retrieving chlorophyll-a concentration (Chla) from reflectance spectra assume that bio-optical parameters such as the phytoplankton specific absorption coefficient (aϕ*) or the chlorophyll-a fluorescence quantum yield ( η ) are constant. Yet there exist experimental data showing large ranges of variability for these quantities. The main objective of this study was to analyze the sensitivity of two Chla algorithms to variations in bio-optical parameters and to uncertainties in reflectance measurements. These algorithms are specifically designed for turbid productive waters and are based on red and near-infrared reflectances. By means of simulated data, it is shown that the spectral regions where the algorithms are maximally sensitive to Chla overlap those of maximal sensitivity to variations in the above bio-optical parameters. Thus, to increase the accuracy of Chla retrieval, we suggest using spectral regions where the algorithms are less sensitive to Chla, but also less sensitive to these interferences. a ϕ * appeared to be one of the most important sources of error for retrieving Chla. However, when the phytoplankton backscattering coefficient ( b b , ϕ ) dominates the total backscattering, as is likely during algal blooms, variations in the specific b b , ϕ may introduce large systematic uncertainties in Chla estimation. Also, uncertainties in reflectance measurements, which are due to incomplete atmospheric correction or reflected skylight removal, seem to affect considerably the accuracy of Chla estimation. Instead, variations in other bio-optical parameters, such as η or the specific backscattering coefficient of total suspended particles, appear to have minor importance. Suggestions regarding the optimal band locations to be used in the above algorithms are finally provided.

© 2006 Optical Society of America

OCIS Codes
(010.4450) Atmospheric and oceanic optics : Oceanic optics
(280.0280) Remote sensing and sensors : Remote sensing and sensors

ToC Category:
Remote Sensing

History
Original Manuscript: October 18, 2005
Revised Manuscript: November 28, 2005
Manuscript Accepted: December 2, 2005

Virtual Issues
Vol. 1, Iss. 6 Virtual Journal for Biomedical Optics

Citation
Giorgio Dall'Olmo and Anatoly A. Gitelson, "Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results," Appl. Opt. 45, 3577-3592 (2006)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-45-15-3577


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. G. Dall'Olmo and A. A. Gitelson, "Effect of bio-optical parameter variability on the remote estimation of chlorophyll-a concentration in turbid productive waters: experimental results," Appl. Opt. 44, 412-422 (2005). See also erratum in 44, 3342 (2005). [CrossRef]
  2. A. Gitelson, G. Keydan, and V. Shishkin, "Inland water quality assessment from satellite data in visible range of the spectrum," Sov. Remote Sens. 6, 28-36 (1985).
  3. A. Gitelson, K. Kondrat'ev, and G. Garbusov, "New approach to monitoring aquatic ecosystem quality," Trans. USSR Acad. Sci. 295, 825-827 (1987).
  4. A. A. Gitelson and K. Y. Kondratyev, "Optical models of mesotrophic and eutrophic water bodies," Int. J. Remote Sens. 12, 373-385 (1991).
  5. A. G. Dekker, "Detection of optical water quality parameters for eutrophic waters by high resolution remote sensing," Ph.D. thesis (Vrije Universiteit, 1993).
  6. S. Thiemann and H. Kaufmann, "Lake water quality monitoring using hyperspectral airborne data—a semiempirical multisensor and multitemporal approach for the Mecklenburg Lake District, Germany," Remote Sens. Environ. 81, 228-237 (2002). [CrossRef]
  7. H. J. Hoogenboom, A. G. Dekker, and I. A. Althuis, "Simulation of aviris sensitivity for detecting chlorophyll over coastal and inland waters," Remote Sens. Environ. 65, 333-340 (1998). [CrossRef]
  8. D. Pierson and N. Strömbäck, "A modelling approach to evaluate preliminary remote sensing algorithms: Use of water quality data from Swedish great lakes," Geophysica 36, 177-202 (2000).
  9. K. Oki and Y. Yasuoka, "Estimation of chlorophyll concentration in lakes and inland seas with a field spectroradiometer above the water surface," Appl. Opt. 41, 6463-6469 (2002).
  10. E. F. Hoge and C. W. S. N. R. Wright, "Radiance-ratio algorithm wavelengths for remote oceanic chlorophyll determination," Appl. Opt. 26, 2082-2094 (1987).
  11. K. Kallio, T. Kutser, T. Hannonen, S. Koponen, J. Pulliainen, J. Veps, and T. Pyh, "Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons," Sci. Total Environ. 268, 59-77 (2001). [CrossRef]
  12. J. Pulliainen, K. Kallio, K. Eloheimo, S. Koponen, H. Servomaa, T. Hannonen, S. Tauriainen, and M. Hallikainen, "A semi-operative approach to lake water quality retrieval from remote sensing data," Sci. Total Environ. 268, 79-93 (2001). [CrossRef]
  13. K. Kallio, S. Koponen, and J. Pulliainen, "Feasibility of airborne imaging spectrometry for lake monitoring—a case study of spatial chlorophyll alpha distribution in two meso-eutrophic lakes," Int. J. Remote Sens. 24, 3771-3790 (2003). [CrossRef]
  14. P. Ammenberg, P. Flink, T. Lindell, D. Pierson, and N. Strombeck, "Bio-optical modelling combined with remote sensing to assess water quality," Int. J. Remote Sens. 23, 1621-1638 (2002). [CrossRef]
  15. G. W. Kattawar and J. C. Vastano, "Exact 1-D solution to the problem of chlorophyll fluorescence from the ocean," Appl. Opt. 21, 2489-2492 (1982).
  16. D. A. Kiefer and R. A. Reynolds, "Advances in understanding phytoplankton fluorescence and photosynthesis," in Primary Productivity and Biogeochemical Cycles in the Sea, P. G. Falkowsky and A. D. Woodhead, eds. (Plenum, 1992), pp. 155-174.
  17. M. Babin, D. Stramski, G. M. Ferrari, H. Claustre, A. Bricaud, G. Obolensky, and N. Hoepffner, "Variations in the light absorption coefficients of phytoplankton, nonalgal particles, and dissolved organic matter in coastal waters around Europe," J. Geophys. Res. Oceans 108, 3211 (2003).
  18. A. Albert and C. D. Mobley, "An analytical model for subsurface irradiance and remote sensing reflectance in deep and shallow case-2 waters," Opt. Exp. 11, 2873-2890 (2003).
  19. A. Morel and A. Bricaud, "Theoretical results concerning light absorption in a discrete medium, and application to specific absorption of phytoplankton," Deep-Sea Res. 28A, 1375-1393 (1981). [CrossRef]
  20. A. Vasilkov and O. Kopelevich, "Reasons for the appearance of the maximum near 700 nm in the radiance spectrum emitted by the ocean layer," Oceanology 22, 697-701 (1982).
  21. H. Loisel and A. Morel, "Non-isotropy of the upward radiance field in typical coastal (case 2) waters," Int. J. Remote Sens. 22, 275-295 (2001). [CrossRef]
  22. Y. J. Park and K. Ruddick, "Model of remote-sensing reflectance including bidirectional effects for case 1 and case 2 waters," Appl. Opt. 44, 1236-1249 (2005). [CrossRef]
  23. C. D. Mobley, "Estimation of the remote-sensing reflectance from above-surface measurements," Appl. Opt. 38, 7442-7455 (1999).
  24. K. G. Ruddick, F. Ovidio, and M. Rijkeboer, "Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters," Appl. Opt. 39, 897-912 (2000).
  25. H. C. van de Hulst, Light Scattering by Small Particles (Wiley, 1957).
  26. C. F. Bohren and D. R. Huffman, Absorption and Scattering of Light by Small Particles (Wiley, 1983).
  27. A. Bricaud and A. Morel, "Light attenuation and scattering by phytoplanktonic cells: a theoretical modeling," Appl. Opt. 25, 571-580 (1986).
  28. R. P. Bukata, J. H. Jerome, J. E. Bruton, and S. C. Jain, "Determination of inherent optical properties of Lake Ontario coastal waters," Appl. Opt. 18, 3926-3932 (1979).
  29. R. D. Vaillancourt, C. W. Brown, R. R. L. Guillard, and W. M. Balch, "Light backscattering properties of marine phytoplankton: relationships to cell size, chemical composition and taxonomy," J. Plankton Res. 26, 191-212 (2004). [CrossRef]
  30. 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. Oceans 109, (2004).
  31. A. Briraud, A. Morel, and L. Prieur, "Optical efficiency factors of some phytoplankters," Limnol. Oceanogr. 28, 816-832 (1983).
  32. H. Buiteveld, J. H. M. Hakvoort, and M. Donze, "The optical properties of pure water," in Ocean Optics XII, SPIE 2258, (1994).
  33. A. Morel, "Optical properties of pure water and pure seawater," in Optical Aspects of Oceanography, Jerlov and E. Steeman Nielsen, eds. (Academic, 1974).
  34. T. J. Petzold, "Volume scattering functions for selected ocean waters," in Light in the Sea, J.E.Tyler, Dowden, Hutchinson, Ross, and Stroudsberg, eds. (Scripps Institute of Oceanography, 1977).
  35. P. Gege, "The water color simulator Wasi: An integrating software tool for analysis and simulation of optical in situ spectra," Comput. Geosci. 30, 523-532 (2004). [CrossRef]
  36. C. D. Mobley, Light and Water: Radiative Transfer in Natural Waters (Academic, 1994).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited