Polarization discrimination technique to separate overlapping fluorescence and elastic scattering applied to algae in seawater

Jing Zhou; Alexander Gilerson; Adrian Gill; Barry M. Gross; Fred Moshary; Samir Ahmed

doi:10.1117/12.559576

9 November 2004 Polarization discrimination technique to separate overlapping fluorescence and elastic scattering applied to algae in seawater

Jing Zhou, Alexander Gilerson, Adrian Gill, Barry M. Gross, Fred Moshary, Samir Ahmed

Author Affiliations +

Proceedings Volume 5544, Remote Sensing and Modeling of Ecosystems for Sustainability; (2004) https://doi.org/10.1117/12.559576
Event: Optical Science and Technology, the SPIE 49th Annual Meeting, 2004, Denver, Colorado, United States

Abstract

We present the results of recent experiments and analysis on the polarization discrimination technique developed by us to separate elastic reflectance and fluorescence components resulting from white light illumination of algae in seawater. The technique uses the polarized properties of elastically scattered light and unpolarized properties of fluorescence to separate the two. The approach was successfully applied to measurements on four types of algae of different sizes and shapes in the laboratory, with both polarized and unpolarized illumination sources, and, with in some cases, the addition of different concentrations of clay as well as in-situ field measurements in eastern Long Island. The procedure is shown to be effective for extraction of the chlorophyll fluorescence in the 685 nm region from reflectance of algae dominated by chlorophyll pigments. We also report the results of preliminary experiments of the impact of surface roughness on the efficacy of the technique for measurements both above and under the surface.

Citation Download Citation

Jing Zhou, Alexander Gilerson, Adrian Gill, Barry M. Gross, Fred Moshary, and Samir Ahmed "Polarization discrimination technique to separate overlapping fluorescence and elastic scattering applied to algae in seawater", Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); https://doi.org/10.1117/12.559576

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