Inversion modeling optimization using CalCOFI data set

Young-Je Park; Mati Kahru; Brian Gregory Mitchell

doi:10.1117/12.411663

5 January 2001 Inversion modeling optimization using CalCOFI data set

Young-Je Park, Mati Kahru, Brian Gregory Mitchell

Proceedings Volume 4154, Hyperspectral Remote Sensing of the Ocean; (2001) https://doi.org/10.1117/12.411663
Event: Second International Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 2000, Sendai, Japan

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.

Citation Download Citation

Young-Je Park, Mati Kahru, and Brian Gregory Mitchell "Inversion modeling optimization using CalCOFI data set", Proc. SPIE 4154, Hyperspectral Remote Sensing of the Ocean, (5 January 2001); https://doi.org/10.1117/12.411663

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