A vicarious calibration model enables quantitative applications of Fengyun-3 satellite ocean color data
Ocean color remote sensing is a vital tool for monitoring global ocean carbon sinks and primary productivity. However, the on-orbit calibration accuracy of satellite sensors is insufficient, and weak marine signals account for only approximately 10% of the signals received by satellites, leading to significant uncertainties in ocean color remote-sensing applications.
The vicarious calibration model, developed by a Chinese research team, enables precise quantitative applications of Fengyun-3 satellite ocean color data. This advancement addresses the limitations presented by insufficient on-orbit sensor calibration and atmospheric interference, which have introduced significant biases in observing weak ocean signals.
By leveraging high-precision ground-based observations and integrating radiative transfer simulations with regression analysis, the model corrects radiometric biases in the ocean color channels of the Fengyun-3D (FY-3D) and Fengyun-3F (FY-3F) satellites. This correction process effectively separates atmospheric path radiance from water-leaving radiance, enhancing the accuracy of retrieved remote-sensing reflectance.
The improved data quality will bolster quantitative applications of Chinese satellite ocean color data, as demonstrated by the study published in Atmospheric and Oceanic Science Letters.
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