[Abstract]

In this study, with a revised POLYMER (POLYnomial based approach applied to MERIS data) atmospheric correction model, we present a novel scheme (two-angle atmospheric correction algorithm, termed as TAACA) to remove atmospheric contributions in satellite ocean color measurements for coastal environments, especially when there are absorbing aerosols. TAACA essentially uses the same water properties as a constraint to determine oceanic and atmospheric properties simultaneously using two same-day consecutive satellite images having different sun-sensor geometries. The performance of TAACA is evaluated with a synthetic dataset, and further assessed using co-located VIIRS measurements for waters in Boston Harbor and Massachusetts Bay. All results obviously support that more reliable Rrs products in coastal waters could be obtained from satellite ocean color measurements with a scheme like TAACA, especially when there are strongly absorbing aerosols.

Scatterplots between the simulated Rrs (indicated by subscript “sim”) and the TAACA-retrieved Rrs (indicated by subscript “ret”) for bands 410 – 671 nm. The black dash-line represents the 1:1 line, and the green line is linear regression of all datasets (both non-absorbing and strongly absorbing aerosols) with the fitting parameters shown in the plots.

Wang, JW; Lee, ZP; Wei, JW; Du, KP. Atmospheric correction in coastal region using same-day observations of different sun-sensor geometries with a revised POLYMER model. Optics Express, 2020, 28(18): 26953-26976.