POSTER Session 3

OBTAINING CONSISTENT REMOTE SENSING REFLECTANCE OF MULTIPLE OCEAN COLOR SATELLITES THROUGH CROSS-SATELLITE ATMOSPHERIC CORRECTION

The launch and operation of a wide range of ocean color satellites by many countries now provide extensive spatiotemporal coverage of the global ocean. However, due to variations in spectral band settings, radiometric calibrations, and atmospheric correction algorithms, there are various bias in the ocean color products across different sensors, which then affect spatial merging and temporal evaluations of these products. Since they are derived, empirically or semi-analytically, from the remote sensing reflectance (Rrs), it is thus a prerequisite to ensure Rrs from the different satellites are consistent. To meet this goal, based on neural networks and highest-quality Rrs products from MODIS-Aqua, we have developed a cross-satellite atmospheric correction algorithm (CSACA) to achieve MODIS-Aqua consistent Rrs from SeaWiFS and VIIRS-SNPP. It is found that Rrs from SeaWiFS and VIIRS-SNPP by CSACA are highly consistent with MODIS-Aqua Rrs. For instance, for global Rrs(443), the absolute percentage difference between VIIRS-SNPP and MODIS-Aqua is just 7.1% (R2 = 0.93), but this difference is 11.9% (R2 = 0.63) for Rrs(443) distributed by NASA. In particular, for measurements under challenging conditions such as high solar and sensor zenith angles, or thin clouds, the discrepancies in Rrs between SeaWiFS/VIIRS-SNPP obtained by CSACA and MODIS-Aqua are less than 1/3 of the difference of the Rrs products distributed by NASA. These results highlight the robustness of CSACA in obtaining high-quality and consistent Rrs from different ocean color satellites, which will then greatly improve the merging of ocean color products from these sensors.

*Tianhao Wang, Xiamen University, China, [email protected], https://orcid.org/0009-0005-4304-8770

Zhongping Lee, State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, China, [email protected]

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