Coastal bathymetry from hyperspectral observations of water radiance

Remote Sensing of Environment

Volumn 65, Issue 3, 1998, Pages 341-352

  Sandidge, Juanita C ^a   Holyer, Ronald J ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BATHYMETRY; COASTAL ZONES; ERROR ANALYSIS; FLUORESCENCE; INFRARED IMAGING; INFRARED SPECTROMETERS; LIGHT ABSORPTION; LIGHT SCATTERING; MATHEMATICAL MODELS; NEURAL NETWORKS; SPECTRUM ANALYSIS;

AIRBORNE VISIBLE/INFRARED IMAGING SPECTROMETERS (AVIRIS); ROOT MEAN SQUARED (RMS) ERROR;

REMOTE SENSING;

ARTIFICIAL NEURAL NETWORK; AVIRIS; BATHYMETRY; COASTAL WATERS; RADIANCE;

UNITED STATES;

EID: 0032157949     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(98)00043-1     Document Type: Article

References (17)

1. Bierwirth P.N., Lee T.J., Burne R.V. Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Photogramm. Eng. Remote Sens. 59:1993;331-338.
2. Carder K.L., Reinersman P., Chen R.F., Muller-Karger F. AVIRIS calibration and application in coastal oceanic environments. Remote Sens. Environ. 44:1993;205-216.
3. Chrien, T. G., Green, R. O., and Eastwood, M. L. (1990), Accuracy of the spectral and radiometric laboratory calibration of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). In Proceedings of the Second Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, Jet Propulsion Laboratory, Pasadena, CA, pp 1-14.
4. Green, R. O., Conel, J. E., Helmlinger, M., van den Bosch, J., and Hajek, P. (1995), In-flight radiometric calibration of AVIRIS in 1994. In Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, Jet Propulsion Laboratory, Pasadena, CA, pp. 83-86.
5. Green, R. O., Pavri, B., Faust, J., Williams, O., and Chovitt, C. (1998), Inflight validation of AVIRIS calibration in 1996 and 1997. In Summaries of the Seventh Annual JPL Airborne Earth Science Workshop, Jet Propulsion Laboratory, Pasadena, CA, pp. 156-171.
6. Hamilton M.K., Davis C.O., Rhea W.J., Pilorz S.H., Carder K.L. Estimating chlorophyll content and bathymetry of Lake Tahoe using AVIRIS data. Remote Sens. Environ. 44:1993;217-230.
7. Jerlov N.G. Marine Optics. 1976;Elsevier Scientific, Amsterdam.
8. Jupp, D. L. (1988), Background and extensions to depth of penetration (DOP) mapping in shallow coastal waters. In Symposium on Remote Sensing of the Coastal Zone, Gold Coast, Queensland, Australia, Session 4, Paper 2.
9. Khan M.A., Fadlallah Y.H., Al-Hinai K.G. Thematic mapping of subtidal coastal habitats in the western Arabian Gulf using Landsat TM data - Abu Ali Bay, Saudi Arabia. Int. J. Remote Sens. 13:1992;605-614.
10. Lippman R.P. An introduction to computing with neural nets. IEEE ASSP Mag. 4:1987;4-22.
11. Lyzenga D.R. Shallow-water bathymetry using combined lidar and passive multispectral scanner data. Int. J. Remote Sens. 6:1985;115-125.
12. Nordman, M. E., Wood, L., Michalek, J. I., and Christy, J. L. (1990), Water depth extraction from Landsat-5 imagery. In Proceedings of the Twenty-Third International Symposium on Remote Sensing of Environment, Bangkok, Thailand, April, Vol. 2, pp. 1129-1139.
13. Paredes J.M., Spero R.E. Water depth mapping from passive remote sensing data under a generalized ratio assumption. Appl. Opt. 22:1983;1134-1135.
14. Polcyn, F. C., and Sattinger, I. J. (1969), Water depth determination using remote sensing techniques. In Proceedings of the Sixth International Symposium on Remote Sensing of Environment, Ann Arbor, MI, 13-16 October, pp. 1017-1028.
15. Walker C., Kalcic M. Gram-Schmidt orthogonalization technique for atmospheric and sunglint correction of Landsat imagery. SPIE Proc. Ser. 2315:1994;799-812.
16. Vane G., Green R.O., Chrien T.G., Enmark H.T., Hansen E.G., Porter W.M. The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). Remote Sens. Environ. 44:1993;127-143.
17. Vane G., Goetz A.F.H. Terrestrial imaging spectrometry. current status, future trends Remote Sens. Environ. 44:1993;117-126.