Optical remote sensing of shallow-water environmental parameters: A feasibility study

Remote Sensing of Environment

Volumn 73, Issue 2, 2000, Pages 152-161

  Durand, Dominique ^a   Bijaoui, Jérome ^b   Cauneau, François ^c  

^a NANSEN ENVIRONMENTAL AND REMOTE SENSING CENTER   (Norway)

^b Sema Group   (France)

^c PSL RESEARCH UNIVERSITY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COASTAL ZONE MANAGEMENT;

COASTAL ZONES; COMPUTER SIMULATION; ENVIRONMENTAL PROTECTION; OPTIMIZATION; SENSITIVITY ANALYSIS;

REMOTE SENSING;

OCEANOGRAPHY; REFLECTANCE; REMOTE SENSING; SEAFLOOR; SENSITIVITY ANALYSIS;

EID: 0034255103     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(00)00090-0     Document Type: Article

References (31)

1. Ackleson, S. G. (1996), Diffuse attenuation in optically-shallow-water: Effects of bottom reflectance. In Proc. of Ocean Optics XIII. Halifax, Canada. 2963:326-330.
2. Alberotanza L. Sea-Truth Data Catalogue, EISAC'89, North Adriatic Sea. 1989;Tech. Rep, CNR-ISDGM, Venice, Italy.
3. Bierwirth N., Lee T., Burne R. Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Photogramm. Eng. Remote Sens. 59:1993;331-338.
4. Bijaoui, J., Jullien, S., and Cauneau, F. (1994), Bathymetry measurement in shallow-water areas using airborne spectrometers. In Proc. of the 14th EARSeL Symposium (A. A. Balkema, Ed.). Rotterdam, The Netherlands, pp. 311-314.
5. Doërffer, R., and Fischer, J. (1994), Concentration of chlorophyll, suspended matter, and gelbstoff in case II waters derived from satellite coastal zone color scanner data with inverse modeling methods. J. Geophys. Res. 99(C4): 7457-7466.
6. Doërffer, R., and Schiller, H. (1997), Pigment index, sediment and gelbstoff retrieval from directional water leaving radiance reflectances using inverse modelling technique. Algorithm Theoretical Basis Document, MERIS ATBD 2.12, ESA ed.
7. Durand, D., and Cauneau, F. (1997a), Towards a new method for shallow-water monitoring using remote sensing. In Proc. of the Future Trends in Remote Sensing EARSeL Conference (A. A. Balkema, Ed.). Rotterdam, The Netherlands, pp. 355-359.
8. Durand, D., and Cauneau, F. (1997b), Diffuse attenuation in turbid shallow-water: Influence on water-leaving radiance measured by airborne spectrometers. In Proc. of the 3rd Int. Airborne Remote Sensing Conference and Exhibition (ERIM Ed.). Erim, Ann Arbor, MI, 2:543-544.
9. Estep L. Bottom influence on the estimation of chlorophyll concentration in water remotely sensed data. Int. J. Remote Sens. 15(1):1994;205-214.
10. Estep L., Holloway J. Estimators of bottom reflectance spectra. Int. J. Remote Sens. 13(2):1992;393-397.
11. Fisher F., Doërffer R. An inverse technique for remote detection of suspended matter, phytoplankton and yellow substance from CZCS measurements. Adv. Space Res. 7(2):1987;21-26.
12. Frette Ø., Stamnes J.J., Stamnes K. Optical remote sensing of marine constituents in coastal waters. A feasibility study Appl. Opt. 37(36):1998;8318-8326.
13. Jain S.C., Miller J.R. Algebraic expression for the diffuse irradiance reflectivity of water from the two-flow model. Appl. Opt. 16(1):1977;202-204.
14. Kirk J.T.O. The upwelling light stream in natural waters. Limnol. Oceanogr. 34(8):1989;1410-1425.
15. Lyzenga D.R. Passive remote sensing techniques for mapping water depth and bottom features. Appl. Opt. 17(3):1978;379-383.
16. Lyzenga D.R. Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data. Int. J. Remote Sensing. 1(2):1981;71-82.
17. Maritorena S. Remote sensing of the water attenuation in coral reefs. A case study in French Polynesia Int. J. Remote Sens. 17(1):1996;155-166.
18. Maritorena S., Morel A., Gentili B. Diffuse reflectance of oceanic shallow-waters. Influence of water depth and bottom albedo Limnol. Oceanogr. 39(7):1994;1689-1703.
19. Mishra, A. K., Sridhar, P. N., and Prasad, K. S. (1989), Bathymetry retrieval algorithm for coastal water (case II) from Landsat-5 Thematic Mapper data. In Proc. of IGARSS'89: 12th Canadian Symp. Remote Sensing, Vancouver, Canada.
20. Mobley, C. (1994), Light and Water: Radiative Transfer in Natural Waters, Academic Press Inc.
21. Mobley C., Gentili B., Gordon H., Jin Z., Kattawar G., Morel A., Reinersman P., Stamnes K., Stavn R. Comparison of numerical models for computing underwater light fields. Appl. Opt. 32(36):1993;7484-7504.
22. Morel A., Prieur L. Analysis of variations in ocean color. Limnol. Oceanogr. 22(4):1977;709-722.
23. Pettersson L., Johannessen O.M., Frette Ø, Sørensen K., Svendsen E., Borstad G., Gower J.F.R. Airborne imaging spectrometry for mapping of the chlorophyll - a distribution and pollution in the Skagerrak region. EARSeL Advances in Remote Sensing. 1(1):1991;93-100.
24. Pettersson, L. H., Borstad, G., Sørensen, K., Dahl, E., Svendsen, E., Frette, Ø, Gower, J. F. R., and Kerr, R. (1989), Norwegian Spectroscopy for Mapping and Monitoring of Algal Blooms and Pollution, NORSMAP'89: Summary of the Field Campaign. Tech. Rep., NERCS (22).
25. Philpot W.D. Bathymetric mapping with passive multispectral imagery. Appl. Opt. 28(8):1989;1569-1578.
26. Polcyn, F. C., Lyzenga, D. R., and Shuchman, R. A. (1980), Multisensor approach to remote bathymetry. In Proc. of 14th Int. Symp. on Remote Sensing of Environment, p. 529.
27. Polcyn, F. C., and Sattinger, I. J. (1969), Water depth determinations using remote sensing technics. In Proc. of 6th Int. Symp. on Remote Sensing of Environment, pp. 1017-1028.
28. Schiller H., Doërffer R. Fast computational scheme for inverse modeling of multispectral radiances. Application for remote sensing of the ocean Appl. Optics. 32(18):1993;3280-3285.
29. Spitzer D., Dirks R.W.J. Bottom influence on the reflectance of the sea. Int. J. Remote Sens. 8(3):1987;279-290.
30. Tassan S. Modified Lyzenga's method for macroalgae detection in water with non-uniform composition. Int. J. Remote Sens. 17(8):1996;1601-1607.
31. Vermote, E., Tanre, D., Deuzé, J. L., Herman, M., and Morcrette, J. J. (1996), Second Simulation of the Satellite Signal in the Solar Spectrum (6S), User Guide. Technical report, Laboratoire d'optique atmosphérique, Lille, France.