Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 9)


Spectral Measurement Inverse Modeling Bottom Depth Reflection Factor Forward Calculation 
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7. References

  1. Ahn, Y.H., A. Bricaud and A. Morel. 1992. Light backscattering efficiency and related properties of some phytoplankton. Deep-Sea Research, 39:1835-1855.CrossRefGoogle Scholar
  2. Albert, A., and C. D. Mobley. 2003. An analytical model for subsurface irradiance and remote sensing reflectance in deep and shallow case-2 waters. Optics Express11,2873-2890. .Google Scholar
  3. Albert, A. 2004. Inversion technique for optical remote sensing in shallow water. Ph.D. thesis, University of Hamburg.
  4. Albert, A. and P. Gege. 2005. Inversion of irradiance and remote sensing reflectance in shallow water between 400 and 800 nm for calculations of water and bottom properties. Applied Optics (submitted).Google Scholar
  5. Babin, M., and D. Stramski. 2002. Light absorption by aquatic particles in the near-infrared spectral region. Limnology and Oceanography, 47(3), 911-915.Google Scholar
  6. Bricaud, A., A. Morel and L. Prieur. 1981. Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains. Limnology and Oceanography, 26:43-53.CrossRefGoogle Scholar
  7. Buiteveld, H., J. H.M. Hakvoort and M. Donze. 1994. The optical properties of pure water. Ocean Optics XII, SPIE, Vol. 2258:174-183.Google Scholar
  8. Caceci, M.S. and W.P. Cacheris. 1984. Fitting Curves to Data. Byte May 1984: 340-362.Google Scholar
  9. Carder, K.L., G.R. Harvey and P.B. Ortner. 1989. Marine humic and fulvic acids: their effects on remote sensing of ocean chlorophyll. Limnology and Oceanography, 34:68-81.CrossRefGoogle Scholar
  10. Gege, P. 1994. Gewässeranalyse mit passiver Fernerkundung: Ein Modell zur Interpretation optischer Spektralmessungen. Ph.D. thesis, University of Hamburg. DLR-Forschungsbericht 94-15, 171 pp.Google Scholar
  11. Gege, P. 1995. Water analysis by remote sensing: A model for the interpretation of optical spectral measurements. Technical Translation ESA-TT-1324, 231 pp., July 1995.Google Scholar
  12. Gege, P. 1998a. Characterization of the phytoplankton in Lake Constance for classification by remote sensing. Archives fur Hydrobiologia. Special Issues Advances in Limnology, 53, p. 179-193, Dezember 1998: Lake Constance, Characterization of an Ecosystem in Transition.Google Scholar
  13. Gege, P. 1998b. Correction of specular reflections at the water surface. Ocean Optics XIV, 10-13 Nov. 1998, Kailua-Kona, Hawaii, USA. Conference Papers, Vol. 2.Google Scholar
  14. Gege, P. 2002a. The Water Colour Simulator WASI. User manual for version 2. DLR Internal Report IB 564-01/02, 60 pp. - The actual version of the manual and of the software can be loaded from the ftp server Login: anonymous, password: [email address], directory: /pub/WASI.Google Scholar
  15. Gege, P. 2002b. Error propagation at inversion of irradiance reflectance spectra in case-2 waters. Ocean Optics XVI Conference, November 18-22, 2002, Santa Fe, USA.Google Scholar
  16. Gege, P. 2004. The water colour simulator WASI: An integrating software tool for analysis and simulation of optical in-situ spectra. Computers and Geosciences, 30:523-532.CrossRefGoogle Scholar
  17. Gordon, H.R., O.B. Brown and M. M. Jacobs. 1975. Computed Relationships between the Inherent and Apparent Optical Properties of a Flat Homogeneous Ocean. Applied Optics, 14:417-427.CrossRefGoogle Scholar
  18. Gordon, H. R. 1989. Can the Lambert-Beer law be applied to the diffuse attenuation coefficient of ocean water? Limnology and Oceanography, 34(8):1389-1409.CrossRefGoogle Scholar
  19. Heege, T. 2000. Flugzeuggestützte Fernerkundung von Wasserinhaltsstoffen am Bodensee. Ph.D. thesis, Free University of Berlin. DLR-Forschungsbericht 2000-40, 134 p.Google Scholar
  20. Kirk, J.T.O. 1984. Dependence of relationship between inherent and apparent optical properties of water on solar altitude. Limnology and Oceanography, 29:350-356.CrossRefGoogle Scholar
  21. Jerlov, N.G. 1976. Marine Optics. Elsevier Scientific Publ. Company.Google Scholar
  22. Jerome, J.H., R P. Bukata and J.E. Bruton. 1990. Determination of available subsurface light for photo-chemical and photobiological activity. Journal for Great Lakes Research, 16(3):436-443.Google Scholar
  23. Mobley, C.D., B. Gentili, H.R. Gordon, Z. Jin, G. W. Kattawar, A. Morel, P. Reinersman, K. Stamnes and R. H. Stavn. 1993. Comparison of numerical models for computing underwater light fields. Applied Optics, 32: 7484-7504.CrossRefGoogle Scholar
  24. Mobley, C.D. 1994. Light and Water. Academic Press, 592 pp.Google Scholar
  25. Mobley, C. D. 1999. Estimation of the remote-sensing reflectance from above-surface measurements. Applied Optics, 38:7442-7455.CrossRefGoogle Scholar
  26. Morel, A. 1974. Optical Properties of Pure Water and Pure Sea Water, p. 1-24. In N. G. Jerlov and E. Steemann Nielsen [eds.], Optical Aspects of Oceanography. Academic Press London.Google Scholar
  27. Morel, A. 1980. In water and remote measurements of ocean colour. Boundary-Layer Meteorology, 18: 177-201.CrossRefGoogle Scholar
  28. Morel, A. and B. Gentili. 1991. Diffuse reflectance of oceanic waters: its dependence on Sun angle as influenced by the molecular scattering contribution. Applied Optics, 30:4427-4438.CrossRefGoogle Scholar
  29. Mueller, J.L. and R W. Austin 1995. Volume 25 of Ocean Optics Protocols for SeaWiFS Validation, Revision 1. S.B. Hooker, E.R. Firestone, and J. G. Acker, eds., NASA Tech. Memo. 104566. NASA Goddard Space Flight Center, Greenbelt, Md.Google Scholar
  30. Nelder, J.A., and R. Mead. 1965. A simplex method for function minimization. Computer Journal 7:308-313.Google Scholar
  31. Nyquist, G. 1979. Investigation of some optical properties of seawater with special reference to lignin sulfonates and humic substances. Ph.D. Thesis. Göteborgs Universitet, 200 pp.Google Scholar
  32. Pinnel, N. 2005. Spectral discrimination of submerged macrophytes in lakes using hyperspectral remote sensing data. Ph.D. thesis. Limnological Institute of the Technical University Munich (in preparation).Google Scholar
  33. Preisendorfer, R.W. and C.D. Mobley. 1985. Unpolarized irradiance reflectances and glitter patterns of random capillary waves on lakes and seas, by Monte Carlo simulation. NOAA Tech. Memo. ERL PMEL-63, Pacific Mar. Environ. Lab., Seattle, WA, 141 pp.Google Scholar
  34. Preisendorfer, R. W. and C. D. Mobley. 1986. Albedos and glitter patterns of a wind-roughened sea surface. Journal of Physical Oceanography, 16:1293-1316.CrossRefGoogle Scholar
  35. Prieur, L. 1976. Transfers radiatifs dans les eaux de mer. Ph.D. thesis. Doctorat d’Etat, Univ. Pierre et Marie Curie, Paris, 243 pp.Google Scholar
  36. Prieur, L. and S. Sathyendranath. 1981. An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other particulate materials. Limnology and Oceanography, 26:671-689.CrossRefGoogle Scholar
  37. Sathyendranath, S. and T. Platt. 1988. Oceanic Primary Production: Estimation by Remote Sensing at Local and Regional Scales. Science, 241:1613-1620.CrossRefGoogle Scholar
  38. Sathyendranath, S., L. Prieur and A. Morel. 1989. A three-component model of ocean colour and its application to remote sensing of phytoplankton pigments in coastal waters. International Journal of Remote Sensing, 10:1373-1394.CrossRefGoogle Scholar
  39. Sathyendranath, S. and T. Platt. 1997. Analytic model of ocean color. Applied Optics, 36:2620-2629.CrossRefGoogle Scholar
  40. Toole, D.A., D.A. Siegel, D.W. Menzies, M. J. Neumann and R. C. Smith. 2000. Remote-sensing reflectance determinations in the coastal ocean environment: impact of instrumental characteristics and environmental variability. Applied Optics, 39(3):456-469.CrossRefGoogle Scholar

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© Springer 2006

Authors and Affiliations

    • 1
    • 2
  1. 1.DLRRemote Sensing Technology InstituteGermany
  2. 2.DLRRemote Sensing Technology InstituteGermany

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