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Proceedings Paper

Inversion modeling optimization using CalCOFI data set
Author(s): Young-Je Park; Mati Kahru; Brian Gregory Mitchell
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Paper Abstract

A model of particle absorption coefficients is presented as a function of chlorophyll concentration. The model has been derived from remote sensing reflectance and chlorophyll concentration of CalCOFI bio-optical data set, using a radiance model. Variance in absorption coefficient for a given chlorophyll concentration can be reduced by introducing site- dependent particle backscattering coefficients, average of which is assumed to follow Morel's backscattering model. With an empirical algorithm for estimating the absorption by dissolved organic matter, we separate the absorption by particles from the total absorption. Through a simple quality control, statistical regression gives the parameterization of particle absorption. By applying the derived model to a semi- analytical inversion algorithm, we demonstrate the proposed model could be used to retrieve in-water parameters such as chlorophyll concentration, absorption by colored dissolved organic matter and particle backscattering coefficients.

Paper Details

Date Published: 5 January 2001
PDF: 10 pages
Proc. SPIE 4154, Hyperspectral Remote Sensing of the Ocean, (5 January 2001); doi: 10.1117/12.411663
Show Author Affiliations
Young-Je Park, National Space Development Agency of Japan (Japan)
Mati Kahru, Univ. of California/San Diego (United States)
Brian Gregory Mitchell, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 4154:
Hyperspectral Remote Sensing of the Ocean
Robert J. Frouin; Hiroshi Kawamura; Motoaki Kishino, Editor(s)

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