Application of empirical neural networks to chlorophyll-a estimation in coastal waters using remote optosensors

IEEE Sensors Journal

Volumn 3, Issue 4, 2003, Pages 376-382

  Zhang, Yuanzhi ^a   Koponen, Sampsa S ^a   Pulliainen, Jouni T ^a   Hallikainen, Martti T ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

Chlorophyll a estimation; Neural networks; Remote optosensors

Indexed keywords

ALGORITHMS; CHLOROPHYLL; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTICAL SENSORS; OPTIMIZATION; REGRESSION ANALYSIS; REMOTE SENSING; SPURIOUS SIGNAL NOISE; WATER QUALITY;

CHLOROPHYLL-A ESTIMATION; COASTAL WATERS; NEAR INFRARED (NIR) REGIONS; REMOTE OPTOSENSORS;

COASTAL ZONES;

EID: 3042780050     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2003.815848     Document Type: Article

References (30)

1. J. C. Ritchie, C. M. Cooper, and F. R. Schiebe, "The relationship of MSS and TM digital data with suspended sediments, chlorophyll, and temperature in Moon Lake, Mississippi," Remote Sens. Environ., vol. 33, pp. 137-148, 1990.
2. V. Klemas, D. Bartlett, W. Philpot, and R. Roger, "Coastal and estuarine studies with ERTS-1 and skylab," Remote Sens. Environ., vol. 3, pp. 153-177, 1974.
3. F. L. Scarpace, K. W. Holmquist, and L. T. Fisher, "Landsat analysis of lake quality," Photogramm. Eng. Remote Sens., vol. 45, pp. 623-633, 1979.
4. R. Doerffer, J. Fischer, M. Stossel, and C. Brockmann, "Analysis of thematic mapper data for studying the suspended matter distribution in the coastal area of the Germany Bight (North Sea)," Remote Sens. Environ., vol. 28, pp. 61-73, 1989.
5. D. L. Woodruff, R. P. Stumpf, J. A. Scope, and H. W. Paerl, "Remote estimation of water clarity in optically complex estuarine waters," Remote Sens. Environ., vol. 68, pp. 41-52, 1999.
6. A. E. Strong, "Remote sensing of algal blooms by aircraft and satellite in Lake Erie and Utah Lake," Remote Sens. Environ., vol. 3, pp. 99-107, 1974.
7. C. R. McClain, M. L. Cleave, G. C. Feldman, W. W. Gregg, and S. B. Hooker, "Science quality SeaWiFS data for global biosphere research," Sea Technol., vol. 39, no. 1, pp. 10-16, 1998.
8. 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., vol. 20, pp. 1735-1746, 1999.
9. K. G. Ruddick, F. Ovidio, and M. Rijkeboer, "Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters," Appl. Opt., vol. 39, pp. 897-912, 2000.
10. J. E. O'Reilly, S. Maritorena, B. G. Mitchell, D. A. Siegel, K. L. Carder, S. A. Garver, M. Kahru, and C. R. McClain, "Ocean color chlorophyll algorithms for SeaWiFS," J. Geophys. Res., vol. 103, pp. 24 937-24 953, 1998.
11. C. Hu, K. L. Carder, and F. E. Muller-Karger, "How precise are Sea-WiFS ocean color estimates? Implications of digitization-noise errors," Remote Sens. Environ., vol. 76, pp. 239-249, 2000.
12. P. Cipollini, G. Corsini, M. Diani, and R. Grasso, "Retrieval of sea water optically active parameters from hyperspectral data by means of generalized radial basis function neural networks," IEEE Trans. Geosci. Remote Sens., vol. 39, pp. 1508-1524, July 2001.
13. Y. Zhang, S. Koponen, J. Pulliainen, and M. Hallikainen, "Turbidity detection using AVHRR satellite imagery in the Gulf of Finland," Proc. URSI XXV Nat. Convention Radio Science, pp. 36-37, Sept., 21-22 2000.
14. Y. Zhang, J. Pulliainen, S. Koponen, and M. Hallikainen, "Application of an empirical neural network to surface water quality estimation in the Gulf of Finland using combined optical data and microwave data," Remote Sens. Environ., vol. 81, pp. 327-336, 2002.
15. _, "Applicability of combined microwave and optical data for surface water quality retrievals," J. Electromagn. Waves Appl., vol. 16, pp. 249-251, 2002.
16. E. A. Gallie and P. A. Murtha, "Specific absorpation and backscattering spectra for suspended minerals and chlorophyll-a in Chilko Lake, British Columbia," Remote Sens. Environ., vol. 39, pp. 103-118, 1992.
17. A. G. Dekker, T. J. Malthus, M. M. Wijnen, and E. Seyhan, "The effect of spectral of bandwidth and positioning on the spectral signature analysis of inland waters," Remote Sens. Environ., vol. 41, pp. 211-225, 1992.
18. T. Lindell, D. Pierson, G. Premazzi, and E. Zilioli, Manual for Monitoring European Lakes Using Remote Sensing Techniques. Luxembourg City, Luxembourg: Official Publications of the European Communities, 1999, EUR 18 665 EN.
19. R. P. Bukata, J. H. Jerome, K. Y. A. Kondratyev, and D. V. Pozdnyakov, Optical Properties and Remote Sensing of Inland Coastal Waters. Boca Raton, FL: CRC, 1995, p. 362.
20. R. F. Arenz Jr., W. M. Lewis, and J. F. Saunders, "Determination of chlorophy and dissolved organic carbon from reflectance data for Colorado reservoirs," Int. J. Remote Sens., vol. 17, pp. 1547-1566, 1996.
21. A. A. Gitelson, G. Garbuzov, F. Szilagyi, K. H. Mittenzwey, A. Karnieli, and A. Kaiser, "Quantitative remote sensing methods for real-time monitoring of inland waters quality," Int. J. Remote Sens., vol. 15, pp. 2065-2086, 1993.
22. M. Kuusisto, J. Koponen, and J. Sarkkula, "Modeled phytoplankton dynamics in the Gulf of Finland," Enviorn. Modeling and Software, vol. 13, pp. 461-470, 1998.
23. K. Mäkisara, M. Meinander, M. Rantasuo, J. Okkonen, M. Aikio, K. Sipola, P. Pylkkö, and B. Braam, "Airborne imaging spectrometer for applications (AISA)," in Dig. IGARSS, vol. 2, Tokyo, Japan, 1993, pp. 479-481.
24. H. Rahman and G. Dedieu, "SMAC: A simplified method for the atmospheric correction of satellite measurements in the solar spectrum," Int. J. Remote Sens., vol. 15, pp. 123-143, 1994.
25. L. E. Keiner and X. Yan, "A neural network model for estimating sea surface chlorophyll and sediments from thematic mapper imagery," Remote Sens. Environ., vol. 66, pp. 153-165, 1998.
26. 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., vol. 105, no. C2, pp. 3483-3495, 2000.
27. V. Krasnopolsky, W. Gemmill, and L. Breaker, "A neural network multiparameter algorithm for SSM/I ocean retrievals: Comparisons and validations," Remote Sens. Environ., vol. 73, pp. 133-142, 2000.
28. J. Pulliainen, K. Kallio, K. Eloheimo, S. Koponen, H. Servomaa, T. Hannonen, S. Tauriainen, and M. Hallikainen, "A semi-operational approach to water quality retrival from remote sensing data," Sci. Total Environ., vol. 268, pp. 79-93, 2001.
29. S. Koponen, J. Pulliainen, H. Servomaa, Y. Zhang, M. Hallikainen, K. Kallio, J. Vepsäläinen, T. Pyhälahti, and T. Hannonen, "Analysis on the feasibility of multisource remote sensing observations for chl-a monitoring in Finnish lakes," Sci. Total Environ., vol. 268, pp. 95-106, 2001.
30. S. Koponen, J. Pulliainen, K. Kallio, and M. Hallikainen, "Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data," Remote Sens. Environ., vol. 79, pp. 51-59, 2002.