Operational algorithm for the retrieval of water quality in the Great Lakes

Remote Sensing of Environment

Volumn 97, Issue 3, 2005, Pages 352-370

  Pozdnyakov, Dmitry ^a   Shuchman, Robert ^b   Korosov, Anton ^a   Hatt, Charles ^b  

^a NANSEN INTERNATIONAL ENVIRONMENTAL AND REMOTE SENSING CENTRE   (Russian Federation)

^b ALTARUM INSTITUTE   (United States)

Author keywords

Bio optical retrieval algorithm; Great Lakes; Hydro optical model; Input signal noise; Lake Michigan; MODIS; Multivariate optimization technique; Neural network; Retrieval algorithm robustness; Water quality parameters spatial and temporal distributions

Indexed keywords

ALGORITHMS; ATMOSPHERICS; ERROR CORRECTION; LAKES; NEURAL NETWORKS; ORGANIC ACIDS; SATELLITE COMMUNICATION SYSTEMS; TURBIDITY;

BIO-OPTICAL RETRIEVAL ALGORITHM; GREAT LAKES; HYDRO-OPTICAL MODEL; LAKE MICHIGAN; NON-SATELLITE-SPECIFIC ALGORITHM; TURBID WATERS; WATER QUALITY PARAMETERS/SPATIAL TEMPORAL DISTRIBUTIONS;

WATER QUALITY;

ALGORITHM; LAKE WATER; MODIS; REMOTE SENSING; WATER QUALITY;

GREAT LAKES; NORTH AMERICA; WESTERN HEMISPHERE; WORLD;

EID: 23744499328     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2005.04.018     Document Type: Article

References (43)

1. S. Ackleson Ocean optics research at the start of the 21st century Oceanography 22 2001 5 8
2. Anonymous Lake Ladoga 1992 St. Petersburg: Nauka Publ
3. Anonymous Estuarine and Great Lakes (EaGLe) research Star Report 5 1 2003 1 3
4. Anonymous, 2004, Data book of world like environments. A survey of the state of world lakes. Ed. By Lake Biwa Research Institute and International Lake Environment Committee. Otsu/Japan: Publication of the International Lake Environment Committee/United Nations Environment Programme. Section: Lake Michigan, 1-10.
5. P.M. Atkinson, and A.R.T. Tatnall Neural networks in remote sensing International Journal of Remote Sensing 18 4 1997 699 709
6. T. Bergman, G. Fahnenstiel, S. Lohrenz, D. Millie, and O. Schofield Impacts of a recurrent resuspension event and variable phytoplankton community composition on remote sensing reflectance Journal Geophysical Research 109 No. C10S15 2004 101029 101042
7. B.A. Biddanda, and J.B. Cotner Love handles in aquatic ecosystems: The role of dissolved organic carbon drawdown, resuspended sediments, and terrigenous inputs in the carbon balance of Lake Michigan Ecosystems 5 2002 431 445
8. Bukata, R.P., Jerome, J.H., Bruton, J.E., 1985, Application of direct measurements of optical parameters to the estimation of lake water quality indicators. Environment Canada, Inland Waters Directorate Scientific Series, No. 140.
9. R.P. Bukata, J.H. Jerome, K.Y.A. Kondratyev, and D.V. Pozdnyakov Optical properties and remote sensing of inland and coastal waters 1995 CRC Press Boca Raton e.a
10. H. Carrick, R. Barbiero, and M. Tuchman Variation in Lake Michigan plankton: Temporal, spatial, and historical trends Journal of Great Lakes Research 27 4 2001 467 485
11. R. Doerffer, and J. Fischer Concentrations of chlorophyll, suspended matter, and gelbstoff in Case II waters derived from satellite coastal zone color scanner data with inverse modeling methods Journal of Geophysical Research 99 C4 1994 7457 7466
12. O.V. Doubovik, S.L. Ostchepkov, and T.V. Lapenock Iteration/ regularization method of solution to nonlinear inverse problems and its application to interpreting water leaving radiance spectra Proc. Russian Academy of Sciences: Ocean and atmospheric physics 30 (1) 1994 106 113 (in Russian)
13. B. Eadie, D. Schwab, R. Assel, N. Hawley, B. Lansing, and R. Miller Development of a recurrent coastal plume in the Lake Michigan observed for the first time EOS, Transactions of the Americans Geophysical Union 77 1996 337 338
14. Eegle ship-collected data archive (CD-ROM Vol 1 and 2, September 2003).
15. S.E. Gergel, M.G. Turner, and T.K. Kratz Dissolved organic carbon as an indicator of the scale of watershed influence on lakes and rivers Ecological Applications 9 1999 1377 1390
16. N.G. Jerlov Marine Optics Elsevier Oceanography Series vol. 14 1976 Elsevier Publ. Co Amsterdam
17. J.H. Jerome, R.P. Bukata, and J.R. Miller Remote sensing reflectance and its relationship to optical properties of natural water International Journal of Remote Sensing 17 1 1996 43 52
18. R. Ji, C. Chen, J. Budd, D. Schwab, D. Beletsky, and G. Fahnenstiel Influences of suspended sediments on the ecosystem in Lake Michigan: A 3-D coupled bio-physical modeling experiment Ecological Modelling 152 2002 169 190
19. K.Y.A. Kondratyev, N.N. Filatov, O.M. Johannessen, V.V. Melentyev, D.V. Pozdnyakov, and S.V. Ryanzhin Kirill Ya. Kondratyev N.N. Filatov Limnology and remote sensing: A contemporary approach 1999 Springer-Praxis Chichester
20. P.E. Land, and J.D. Haigh Atmospheric correction over Case II waters using an iterative fitting algorithm including relative humidity SPIE 2963 1997 609 612
21. K. Levenberg A method for the solution of certain non-linear problems in least squares Quantitative and Applied Mathematic 2 1944 164 168
22. D.W. Marquardt An algorithm for least-squares estimation of non-linear parameters Journal of the International Society of Applied Mathematic 11 2 1963 36 48
23. A. Morel, and L. Prieur Analysis of variations in ocean colour Limnology and Oceanography 22 1977 709 722
24. D. Millie, G. Fahnenstiel, H. Carrick, S. Lohrenz, and O. Schofield Phytoplankton pigments in coastal Lake Michigan: Distributions during the spring isothermal period and relation with episodic sediment resuspension Journal of Phycology 38 2002 638 648
25. C.H. Mortimer Discoveries and testable hypotheses arising from Coastal Zone Color Scanner imagery of southern Lake Michigan Limnology and Oceanography 33 2 1988 203 226
26. J.E. O'Reilly, S. Maritorena, B.G. Mitchell, D.A. Siegel, K.L. Carder, and S.A. Garver Ocean color chlorophyll algorithms for SeaWiFS Journal of Geophysical Research 103 C11 1998 2493 24953
27. N.A. Petrova Phytoplankton successions with the anthropogenic eutrophication of large lakes 1990 Leningrad: Nauka Publ. Co (in Russian)
28. D. Pozdnyakov, S. Bakan, and H. Grassl Atmospheric correction of colour images of Case I waters-A review. Report No.308 2000 Max-Planck Institute for Meteorology Germany
29. D. Pozdnyakov, S. Bakan, and H. Grassl Atmospheric correction of colour images of Case II waters-A review. Report No.308 2000 Max-Planck Institute for Meteorology Germany
30. D. Pozdnyakov, and H. Grassl Colour of inland and coastal waters: A methodology for its interpretation 2003 Springer-Praxis Chichester
31. D. Pozdnyakov, and A. Lyaskovsky A comparative analysis of some retrieval algorithms for Case II waters Earth Observations and Remote Sensing 1 1999 70 78 (in Russian)
32. D.V. Pozdnyakov, A.A. Korosov, and L.H. Pettersson Advanced bio-optical algorithm for Case II waters: underpinning methodology, facility assessment, validation and realization exemplifications The 30th International Symposium on Remote Sensing of Environment 10-14 November 2003, Hawaii, Honolulu CDROM edition 2003
33. D.V. Pozdnyakov, L.H. Pettersson, O.M. Johannessen, A.V. Lyaskovsky, N.N. Filatov, and L.P. Bobylev Seawifs maps water quality parameters of the White Sea International Journal of Remote Sensing 24 21 2003 3 6
34. W.H. Press, S.A. Teukolsky, W.T. Vettering, and B.P. Flannery Numerical recipes in C: The art of scientific computing 2nd ed. 1992 Cambridge U. Press New York
35. A. Rossodivita, and P. Andreussi Spray production by air bubbles bursting on a water surface Journal of Geophysical Research 104 C12 1999 30059 30066
36. K.G. Ruddick, F. Ovidio, and M. Rijkeboer Atmospheric correction of SeaWiFS imagery for turbid coastal and inland waters Applied Optics 39 6 2000 897 912
37. S. Sathyendranath Remote sensing of ocean colour in coastal, and other optically complex waters S. Sathyendranath Report of the International Ocean-Colour Coordinating Group No. 3 2000 IOCCG Canada
38. H. Schiller, and R. Doerffer Neural network for emulation of an inverse model-operational derivation of Case II water properties from MERIS data International Journal of Remote Sensing 20 9 1999 1735 1746
39. D.J. Schwab, D. Beletsky, and J. Lou The 1998 coastal turbidity plume in Lake Michigan Estuarine, Coastal and Shelf Science 50 2000 49 58
40. P.L. Smith, R.A. Ragotzkie, A.W. Andren, and H.J. Harris Estuary rehabilitation: the Green Bay story Oceanus 31 3 1988 13 20
41. T.J. Smyth, G.F. Moore, S.B. Groom, P.E. Land, and T. Tyrrell Optical modelling and measurements of a coccolithophore bloom Applied Optics 41 36 2002 7679 7688
42. Snns, Stuttgart Neural Network Simulator, 1995, User Manual, Version 3.1. University of Stuttgart, Institute for Parallel and Distributed Performance Systems, ftp://ftp.informatik.uni-stuttgart.de
43. SURFER Brochure, 2004, ftp://goldensoftwareftp-dl: golden@goldensoftwareftp.com/S8_Brochure.pdf