Mapping of water constituents in Lake Constance using multispectral airborne scanner data and a physically based processing scheme

Canadian Journal of Remote Sensing

Volumn 30, Issue 1, 2004, Pages 77-86

  Heege, Thomas ^a,b   Fischer, Jürgen ^c  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOLS; ALGORITHMS; COST EFFECTIVENESS; IMAGE SENSORS; MAPPING; RADIATION; REFLECTION; REMOTE SENSING; SPECTROMETERS; WATER QUALITY;

NATURAL WATERS; WATER CONSTITUENTS;

LAKES;

EID: 1642602880     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m03-056     Document Type: Article

References (31)

1. Akima, H. 1991. Algorithm697: Univariate interpolationthathas the accuracy of a third-degree polynomial. ACM Transactions on Mathematical Software, Vol. 17, No. 3, pp. 367-367.
2. Albert, A., and Mobley, C.D. 2003. An analytical model for subsurface irradiance and remote sensing reflectance in deep and shallow case-2 waters. Optics Express, Vol. 11, pp. 2873-2890. Available from http://www.opticsexpress.org/cfm?URI=OPEX-11-22-2873.
3. Bauerle, E., and Gaedke, U. (Editors). 1998. Lake Constance: Characterization of an ecosystem in transition. In ArchivfurHydrobiologie, Specialissues: Advances in Limnology. Vol. 53. Schweizerbart’sche Verlagsbuchhandlung, Stuttgart, Germany.
4. Bannister, T.T. 1992. Model of the mean cosine of underwater radiance and estimation of underwater scalar irradiance. Limnology and Oceanography, Vol. 37, No. 4, pp. 773-780.
5. Bogner, A. 2003. Prozesskette zur Kartierung submerser Macrophyten mit dem Multispektralscanner DAEDALUS. Diploma thesis (Diplomarbeit) in Kartographie, Fachhochschule Munchen and DLR Oberpfaffenhofen.
6. Bricaud, A., and Stramski, D. 1990. Spectral absorption coefficients of living phytoplankton and nonalgal biogenous matter: A comparison between Peru upwelling area and the Sargasso Sea. Limnology and Oceanography, Vol. 35, pp. 562-582.
7. Buiteveld, H., Hakvoort, J.H.M., and Donze, M. 1994. The optical properties of pure water. In Proceedings of SPIE-Ocean Optics XII, 13-15 June 1994, Bergen, Norway. Edited by J.S. Jaffe. SPIE, Bellingham, Wash. Vol. 2258, pp. 174-183.
8. Doerffer, R., 1992. Imaging spectroscopy for detection of chlorophyll and suspended matter. In Imaging Spectroscopy: Fundamentals and Prospective Applications. Edited by F. Toselli and J. Bodechtel. ECSC, EEC, EAEC, Brussels and Luxembourg. pp. 215-257.
9. Doerffer, R., and Fischer, J. 1994. Concentration of chlorophyll, suspended matter and Gelbstoff in Case II waters derived from CZCS satellite data with inverse modeling methods. Journal of Geophysical Research, Vol. 99, No. C4, pp. 7457-7466.
10. Fell, F., and Fischer, J. 2001. Numerical simulation of the light field in the atmosphere-ocean system using the matrix-operator method. Journal of QuantitativeSpectroscopyandRadiative Transfer, Vol. 69, pp. 351-388.
11. Fischer, J., and Grassl, H. 1984. Radiative transfer in an atmosphere-ocean system: an azimuthally dependent matrix-operator approach. Applied Optics, Vol. 23, No. 7, pp. 1032-1039.
12. Fischer, J., Doerffer, R., and Grassl, H. 1986. Factor analysis of multispectral radiances over coastal and open ocean water based on radiative transfer calculations. Applied Optics, Vol. 25, No. 3, 448-456.
13. Gege, P. 1994. Gewasseranalyse mitpassiver Fernerkundung: Ein Modell zur Interpretation optischer Spektralmessungen. Ph.D. thesis, Universitat Hamburg. Research report, Deutsches Zentrum fur Luft-und Raumfahrt, Koln. Vol. 1994, No. 15.
14. Gege, P. 1998. Characterization of the phytoplankton in Lake Constance for classification by remote sensing. In Archiv fur Hydrobiologie, Specialissues: Advances in Limnology. Vol. 53. Edited by E. Bauerle and U. Gaedke. Schweizerbart’sche Verlagsbuchhandlung, Stuttgart, Germany. pp. 179-193.
15. Gege, P. 2000a. Gaussian model for yellow substance absorption spectra. In Proceedings of SPIE-Ocean Optics XV, 16-20 October 2000, Monaco. [CD-ROM]. Edited by S. Ackleson. SPIE, Bellingham, Wash.
16. Gege, P. 2000b. Phytoplankton classification. In MERIS Application and Regional Products Projekt, Algorithm Theoretical Basis Documents (BMBF Forderkennzeichen 07 UFE 16/1). Edited by R. Doerffer and C. Brockmann. GKSS Forschungszentrum Geesthacht, Germany.
17. Gershun, A. 1936. Fundamental ideas of the theory of a light field: vector methods of photometric calculations. Izvestiya Akad. Nauk SSSR, pp. 417-430. [In Russian.]
18. Gordon, H.R., Brown, O.B., and Jacobs, M.M. 1975. Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean. Applied Optics, Vol. 14, pp. 417-427.
19. Hase, C., Gaedke, U., Seifried, S., Beese, B., and Tilzer, M.M. 1998. Phytoplankton response to re-oligotrophication in large and deep Lake Constance: Photosynthetic rates and chlorophyll concentrations. In Archiv fur Hydrobiologie, Specialissues: Advances in Limnology. Vol. 53. Edited by E. Bauerle, and U. Gaedke. Schweizerbart’sche Verlagsbuchhandlung, Stuttgart, Germany. pp. 159-178.
20. Heege, T. 2000. Flugzeuggestutzte Fernerkundung von Wasserinhaltsstoffen am Bodensee. Ph.D. thesis, Freie Universitat Berlin. Research report. Deutsches Zentrum fur Luft-und Raumfahrt, Koln. Vol. 2000, No. 40.
21. Heege, T., and Fischer, J. 2000. Sun glitter correction in remote sensing imaging spectrometry. In Proceedings of SPIE-Ocean Optics XV, 16-20 October 2000, Monaco. [CD-ROM]. Edited by S. Ackleson. SPIE, Bellingham, Wash.
22. Heege, T., Hase, C., Bogner, A., and Pinnel, N. 2003. Airborne multispectral sensing in shallow and deep waters. Backscatter, No. 1, pp. 17-19.
23. Kirk, J.T.O. 1991. Volume scattering function, average cosines, and the underwater light field. Limnology and Oceanography, Vol. 36, No. 3, pp. 455-467.
24. Krawczyk, H., and Hetscher, M. 1997. Principal component inversion algorithm for the retrieval of water constituents and its application. In Proceedings of the 1st International Workshop on MOS-IRS and Ocean Colour, 28-30 April 1997, Berlin, Germany. Edited by A. Neumann. DLR, Berlin.
25. Muller, R., Lehner, M., Muller, R., Reinartz, P., and Schroder, M. 2002. A program for direct georeferencing of airborne and spaceborne line scanner images. In Proceedings of the ISPRS Commission I Symposium: Integrating Remote Sensing at the Global, Regional and Local Scale, 10-15 November 2002, Denver, Colo. Edited by S. Morain and A. Budge, GITC Lemmer/Netherland, Netherlands. pp. 148-153.
26. Nelder, J.A., and Mead, R. 1965. A simplex method for function minimization. The Computer Journal, Vol. 7, pp. 308-313.
27. Press, W.H., Flannery, B.P., Teukolsky, S.A., and Vetterling, W.T. 1989. Numerical recipes (FORTRAN version). Cambridge University Press, New York.
28. Schiller, H., and Doerffer, R. 1999. Neural network for emulation of an inverse model operational derivation of Case II water properties from MERIS data. International Journal of RemoteSensing, Vol. 20, No. 9, pp. 1735-1746.
29. Smith, R.C., and Baker, K.S. 1981. Optical properties of the clearest natural waters (200-800 nm). Applied Optics, Vol. 20, No. 2, pp. 177-184.
30. Stabel, H.-H. 1998. Chemical composition and drinking water quality of the water from Lake Constance. In Archiv fur Hydrobiologie, Specialissues: Advances in Limnology. Vol. 53. Edited by E. Bauerle and U. Gaedke. Schweizerbart’sche Verlagsbuchhandlung, Stuttgart, Germany. pp. 13-30.
31. Tilzer, M.M., Stambler, N., Lovengreen, C. 1995. The role of phytoplankton in determining the underwater light climate in Lake Constance. Hydrobiologia, Vol. 316, pp. 161-171.