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Proceedings Paper

Application of simulated annealing in optical remote sensing of marine constituents
Author(s): Oyvind Frette; Jakob J. Stamnes; Knut H. Stamnes; Svein Rune Erga
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Paper Abstract

Optical remote sensing of ocean color is a well-established technique. But most algorithms developed hitherto have been based on the assumption that only the phytoplankton affect the optical properties of the ocean. Such algorithms are often based on assumptions that become questionable in coastal areas. The assumption of a near-infrared dark pixel in the satellite image, will no longer be valid, and the band-ratio technique used for computing the algae concentration will also become inaccurate. To overcome these limitations we have developed an inverse-modeling algorithm for retrieval of marine constituents. Here the determination of ocean color is based on a three-component optical model consisting of chlorophyll-a, suspended matter, and yellow substance. We also use one parameter to describe the thickness of the aerosol layer. A simulated-annealing optimization scheme is employed to minimize the difference between measured satellite data and corresponding simulated data obtained using a coupled atmosphere-ocean radiative transfer code. The same optimization method has also been applied to the problem of retrieving the algae concentration in waters with vertical structure. In this case the marine parameters of interest are the algae concentration in two different layers as well as the thickness of the first layer.

Paper Details

Date Published: 16 September 1999
PDF: 9 pages
Proc. SPIE 3821, Environmental Sensing and Applications, (16 September 1999); doi: 10.1117/12.364187
Show Author Affiliations
Oyvind Frette, Univ. of Bergen (Norway)
Jakob J. Stamnes, Univ. of Bergen (Norway)
Knut H. Stamnes, Univ. of Alaska/Fairbanks (United States)
Svein Rune Erga, Univ. of Bergen (Norway)


Published in SPIE Proceedings Vol. 3821:
Environmental Sensing and Applications
Michel R. Carleer; Moira Hilton; Torsten Lamp; Rainer Reuter; George M. Russwurm; Klaus Schaefer; Konradin Weber; Klaus C. H. Weitkamp; Jean-Pierre Wolf; Ljuba Woppowa, Editor(s)

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