POSTER SESSION 4
10:30–12:30, Thursday, September 17
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ABSTRACT 1406 | POSTER 144
ADVANCING THE RETRIEVAL OF BIOGEOPHYSICAL PARAMETERS FROM HYPERSPECTRAL SATELLITE DATA IN OPTICALLY COMPLEX WATERS: THE BALTIC SEA AS A CASE STUDY (PT.2)
The Baltic Sea’s dynamic, optically complex waters present unresolved challenges for aquatic remote sensing. Characterized by strong salinity gradients and extreme absorption by Colored Dissolved Organic Matter (CDOM), these waters exhibit anomalously low scattering-to-absorption ratios. Such conditions complicate biogeophysical parameter retrievals from observed spectral reflectances, leading to high uncertainties in estimates of chlorophyll-a (Chl-a) and other water quality products.
This study addresses these gaps by combining radiative transfer approximations, multi-source in situ datasets, and hyperspectral satellite observations to optimize optical property retrievals in the Baltic Sea. Existing in situ datasets were harmonized into a comprehensive bio-optical database. The O25 forward model (Pitarch et al., 2025) was implemented to simulate hyperspectral reflectances across all sites using co-located in situ optical properties, thus supporting sensitivity analyses to evaluate theoretical and observed relationships between reflectances and in-water optics.
Furthermore, the Generalized Inherent Optical Property (GIOP) framework was used to explore inversion approaches, leveraging the hyperspectral capabilities of PACE/OCI, establishing how regional optical properties might best inform remote-sensing retrievals of biogeophysical parameters in complex waters.
Finally, residuals in observed and modeled spectral reflectances were analyzed to investigate the decoupling between variability in Chl-a and other in-water parameters concentrations with the corresponding reflectances. Exploring these residuals provides critical insights into the underlying biogeochemistry and phytoplankton community composition of this shallow brackish sea, while providing the foundation with which to subsequently, comprehensively validate PACE and OLCI data products in extreme, optically complex environments.
Carolina Mander*, CNR – ISMAR, [email protected]
Vittorio Brando, CNR – ISMAR, [email protected]
Jaime Pitarch, CNR – ISMAR, [email protected]
Jeremy Werdell, NASA – GSFC, [email protected]
Ivona Cetinic, NASA – GSFC, [email protected]
Carina Poulin, NASA – GSFC, [email protected]
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