Paper
20 January 2005 A coupled oceanic and atmospheric spectral optimization algorithm for application to ocean color satellites: sensitivity to near-infrared error
Christopher P. Kuchinke, Howard R. Gordon, Kenneth John Voss
Author Affiliations +
Proceedings Volume 5656, Active and Passive Remote Sensing of the Oceans; (2005) https://doi.org/10.1117/12.579378
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States
Abstract
A spectral optimization algorithm (SOA) has been developed for processing satellite data in marine waters. The algorithm couples an atmospheric aerosol model with a detailed water-reflectance model to simultaneously retrieve both atmospheric and ocean color parameters. A key feature separating SOA from standard algorithms is the retrieval of the absorption coefficient of colored detrital material, particulate backscattering and chlorophyll concentration in absorbing atmospheres. The same parameters can also be retrieved in Case 2 waters where higher particulate backscattering contributes to the near-infrared (NIR) water-leaving reflectance. Results of chlorophyll concentration are presented in this study using SeaWiFS data obtained for the Chesapeake Bay and Middle Atlantic Bight. Manipulations to the NIR measurements of a degree similar to the magnitude of sensor noise and calibration uncertainty show that the chlorophyll retrievals are highly sensitive to the error in the measured NIR total reflectance.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher P. Kuchinke, Howard R. Gordon, and Kenneth John Voss "A coupled oceanic and atmospheric spectral optimization algorithm for application to ocean color satellites: sensitivity to near-infrared error", Proc. SPIE 5656, Active and Passive Remote Sensing of the Oceans, (20 January 2005); https://doi.org/10.1117/12.579378
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KEYWORDS
Atmospheric modeling

Near infrared

Code division multiplexing

Aerosols

Atmospheric particles

Reflectivity

Absorption

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