Paper
11 October 2007 A general ocean color atmospheric correction scheme based on principal components analysis: Part I. Performance on Case 1 and Case 2 waters
Lydwine Gross-Colzy, Stéphane Colzy, Robert Frouin, Patrice Henry
Author Affiliations +
Abstract
In order to retrieve ocean color from satellite imagery, one must perform atmospheric correction, because when observed from space the ocean signature is weak compared with the strong atmospheric signal. The color of the ocean depends on its optically active constituents: water molecules, dissolved matter, and particulate matter. In the open ocean, the color is mainly due to water molecules and phytoplankton, whereas in the coastal zone, the color also results from the presence of sediments and colored dissolved organic matter. Because coastal waters (Case 2 waters) are much more difficult to decouple from the atmosphere than open ocean (Case 1 waters), operational atmospheric correction algorithms usually separate Case 1 from Case 2 waters processing. The solution proposed in this paper does not separate them. Our algorithm, referred to as Ocean Color Estimation by principal component ANalysis (OCEAN), exploits the fact that ocean is more variable spectrally than the atmosphere, while the atmosphere signal is more variable in magnitude. The satellite reflectance is first decomposed into principal components. The components sensitive to the ocean signal are then combined to retrieve the principal components of the marine reflectance via neural network methodology. The algorithm is described, and results are presented on real and simulated data for POLDER, MERIS, SeaWiFS, and MODIS. Accurate water reflectance estimates are obtained for various aerosol types and contents (including maritime, coastal and urban mixtures), and for the full range of water properties (resulting from realistic combinations of chlorophyll content, sediment content, and colored dissolved matter absorption).
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lydwine Gross-Colzy, Stéphane Colzy, Robert Frouin, and Patrice Henry "A general ocean color atmospheric correction scheme based on principal components analysis: Part I. Performance on Case 1 and Case 2 waters", Proc. SPIE 6680, Coastal Ocean Remote Sensing, 668002 (11 October 2007); https://doi.org/10.1117/12.738508
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Cited by 12 scholarly publications.
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KEYWORDS
Aerosols

Reflectivity

Water

Sensors

Atmospheric modeling

Atmospheric corrections

Principal component analysis

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