POSTER Session 3

ENHANCED ATMOSPHERIC CORRECTION OF SATELLITE OCEAN COLOR IMAGERY FOR COMPLEX ENVIRONMENTS: A CASE STUDY OF THE SALTON SEA

Atmospheric correction of ocean color imagery presents challenges in regions with absorbing aerosols, adjacency effects, and optically complex waters, typical of coastal and inland areas. Traditional algorithms, which extend the atmospheric signal from the near and shortwave infrared to shorter wavelengths, often falter in these environments. To address this issue, the top-of-atmosphere (TOA) signal is subjected to principal component (PC) decomposition, wherein only PCs sensitive to water signal are retained, enabling precise non-linear mapping of TOA and water reflectance PCs for water reflectance reconstruction. AERONET-OC data from coastal sites are used in simulations to generate TOA reflectance. Pixel-wise uncertainty estimation is incorporated. Theoretical performance under varied angular geometry and geophysical conditions is evaluated. This statistical approach is applied to VIIRS and MODIS imagery of the Salton Sea, a vast lake (24 x 56 km) in the Sonoran Desert, featuring diverse organic and inorganic materials and frequent dust storms—serving as an ideal testbed. Results demonstrate the robustness of the PC-based scheme in complex atmospheric settings, including sun glint and thin cloud contamination, yielding realistic water reflectance retrievals. Comparisons with standard methods reveal significant enhancements, particularly in mitigating negative values, notably towards shorter wavelengths. Preliminary assessments are also provided for OCI imagery of the Salton Sea, alongside validation against in situ hyperspectral reflectance measurements, with interpretation supported by inherent optical properties and biogeochemical measurements.

Robert Frouin, Scripps Institution of Oceanography, USA, [email protected]

Jing Tan, Scripps Institution of Oceanography, USA, [email protected]

Rick Reynolds, Scripps Institution of Oceanography, USA, [email protected]

Ishan D Joshi, Scripps Institution of Oceanography, USA, [email protected]

Matthew Kehrli, Scripps Institution of Oceanography, USA, [email protected]

Anjali Narayanan, Scripps Institution of Oceanography, USA, [email protected]

Dariusz Stramski, Scripps Institution of Oceanography, USA, [email protected]

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