Abstract

This study uses derivative spectroscopy to assess qualitative and quantitative information regarding seafloor types that can be extracted from hyperspectral remote sensing reflectance signals. Carbonate sediments with variable concentrations of microbial pigments were used as a model system. Reflectance signals measured directly over sediment bottoms were compared with remotely sensed data from the same sites collected using an airborne sensor. Absorption features associated with accessory pigments in the sediments were lost to the water column. However major sediment pigments, chlorophyll a and fucoxanthin, were identified in the remote sensing spectra and showed quantitative correlation with sediment pigment concentrations. Derivative spectra were also used to create a simple bathymetric algorithm.

© 2002 Optical Society of America

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Appl. Opt. (2)

J. Geophys. Res. (1)

R.L. Huguenin, and J.L. Jones, �??Intelligent Information Extraction from Reflectance Spectra: Absorption band Position,�?? J. Geophys. Res. 91, 9585-9598 (1986)

Mar. Ecol. Prog. Ser. (1)

N. Hoepffner, and S. Sathyendranath, �??Effect of pigment composition on absorption properties of phytoplankton,�?? Mar. Ecol. Prog. Ser. 73, 11-23 (1991)

Nature (1)

C.K.N. Tam, & A.C. Patel, �??Optical absorption coefficients of water,�?? Nature 280, 302-304 (1979)
[CrossRef]

Opt. Express (1)

Photochem. Photobiol. (1)

W.L. Butler, and D.W. Hopkins, �??Higher Derivative Analysis of Complex Absorption Spectra,�?? Photochem. Photobiol. 12, 439-450 (1970)

Remote Sens. Environ. (6)

T.H., Demetriades-Shah, M.D. Steven, J.A. Clark, �??High Resolution Derivative Spectra in Remote Sensing,�?? Remote Sens. Environ. 33, 55-64 (1990)
[CrossRef]

P.J. Curren, J.L., Dungan, B.A. Macler, S.E. Plummer, D.L. Peterson, �??Reflectance Spectroscopy of Fresh Whole Leaves for the Estimation of Chemical Concentration,�?? Remote Sens. Environ. 39, 153-166 (1992)

A. Palacios-Orueta, and S.L. Ustin, �??Remote Sensing of Soil Properties in the Santa Monica Mountains I. Spectral Analysis,�?? Remote Sens. Environ. 65, 170-183 (1998)
[CrossRef]

E.M. Rollin, and E.J. Milton, �??Processing of High Spectral Resolution Reflectance Data for the Retrieval of Canopy Water Content Information,�?? Remote Sens. Environ. 65, 86-92 (1998)
[CrossRef]

R.F. Kokaly, and R.N. Clark, �??Spectroscopic Determination of Leaf Biochemistry Using Band-Depth Analysis of Absorption Features and Stepwise Multiple Linear Regression,�?? Remote Sens. Environ. 67, 267-287 (1999)
[CrossRef]

F. Tsai, and W. Philpot, �??Derivative analysis of Hyperspectral Data,�?? Remote Sens. Environ. 66, 41-51 (1998)
[CrossRef]

Soc. Sedimentary Geology (1)

R. Dill, �??Subtidal stromatolites, ooids and crusted line-muds at the Great Bahama Bank margin,�?? Soc. Sedimentary Geology, SEPM Special Publication No. 46, pp.147-171 (1991)

Other (4)

S.W. Jeffrey, R.F.C. Mantoura, S.W. Wright, Phytoplankton pigments in oceanography: guidelines to modern methods (Unesco Publishing, 1997), Chap. 4.

R.C. Zimmerman, and S.K. Wittlinger, �??Hyperspectral remote sensing of submerged aquatic vegetation in optically shallow waters,�?? In S.G. Ackleson [ed.], Ocean Optics XV. CD-ROM Proc. paper no.1138, 6. (2000)

C.F. Stephens, E.M. Louchard, R.P. Reid, R.A. Maffione, �??Effects of microalgal communities on reflectance spectra of carbonate sediments in subtidal optically shallow marine environments,�?? Limnol. Oceanogr. Special Issue: Shallow Water Optics. in press.

E.M. Louchard �??Spectral reflectance of carbonate sediments and application to shallow water benthic habitat classification,�?? Doctoral Dissertation, University of Miami. Chap.3, (2003)

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