About

Fang Gong is a leading researcher in satellite ocean color remote sensing, specializing in atmospheric correction—the critical process of removing atmospheric interference to retrieve accurate water-leaving radiance from space. Their work addresses some of the most challenging conditions for ocean color observations: high solar zenith angles, absorbing aerosols, and complex coastal waters. Gong’s most cited paper (2020, 57 citations) developed a method for correcting geostationary satellite data under low-light conditions in open oceans, significantly expanding the utility of ocean color sensors. Their 2023 study (30 citations) tackled the difficult problem of correcting for absorbing aerosols over optically complex coastal waters, while earlier work (2011, 19 citations) provided a rigorous evaluation of aerosol models used in NASA’s SeaWiFS and MODIS algorithms using AERONET data. Gong has also pioneered research into how the vertical distribution of absorbing aerosols affects retrievals (2022, 13 citations) and developed the first satellite retrieval of linear polarization components of water-leaving radiance (2023, 5 citations)—a breakthrough for next-generation polarization sensors. With a cumulative impact of over 120 citations, Gong’s contributions are essential for improving the accuracy of global ocean color data, supporting climate studies, and advancing our understanding of marine ecosystems.

Research Focus

Key Achievements

5
H-Index
5
Papers
124
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Atmospheric correction of geostationary satellite ocean color data under high solar zenith angles in open oceans
57 citations · 2020
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Second Institute of Oceanography, Ministry of Natural Resources

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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