Spectral optimization for constituent retrieval in Case 2 waters I: Implementation and performance |
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Authors: | Christopher P Kuchinke Bryan A Franz |
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Affiliation: | a Department of Physics, University of Miami, PO Box 248046, Coral Gables, FL 33124, USA b SAIC, Ocean Biology Processing Group, NASA/GSFC, Greenbelt, MD 20771, USA |
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Abstract: | We describe in detail the implementation of the spectral optimization algorithm (SOA) for Case 2 waters for processing of ocean color data. This algorithm uses aerosol models and a bio-optical reflectance model to provide the top-of atmosphere (TOA) reflectance. The parameters of both models are then determined by fitting the modeled TOA reflectance to that observed from space, using non-linear optimization. The algorithm will be incorporated into the SeaDAS software package as an optional processing switch of the Multi-Sensor Level-1 to Level-2 code. To provide potential users with an understanding of the accuracy and limitations of the algorithm, we generated a synthetic data set and tested the performance of the SOA with both correct and incorrect bio-optical model parameters. Application of the SOA to actual SeaWiFS data in the Lower Chesapeake Bay (for which surface measurements were available) showed that 20% errors in the bio-optical model parameters still enabled retrieval of chlorophyll a and the total absorption coefficient of dissolved plus particulate detrital material at 443 nm with an error of less than 30% and 20%, respectively. In a companion paper we present a validation study of the application of the algorithm in the Chesapeake Bay. |
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Keywords: | Remote Sensing Ocean color Case 2 waters Atmospheric correction Aerosol absorption Chlorophyll a Colored Dissolved Material Backscattering Bio-optical coefficients |
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