Papers
3
Total Citations
72
H-Index
3
About
Shuguo Chen is a leading figure in satellite ocean color science, with a research focus on atmospheric correction algorithms, vicarious calibration, and in situ validation for coastal and turbid waters. His most impactful contribution is a major revision of NASA's SeaDAS atmospheric correction algorithm, which uses artificial neural networks to estimate remote-sensing reflectance in the near-infrared over turbid waters—a persistent challenge for global ocean color missions. This work, published in 2022, has already garnered 33 citations, underscoring its immediate relevance to the ocean color community. Chen also led the vicarious calibration of the COCTS-HY1C sensor, demonstrating that accurate remote-sensing reflectance is critical for deriving biogeochemical parameters that inform carbon cycle and ocean-atmosphere interaction studies. Beyond algorithm development, he established two fixed validation platforms in the Yellow Sea and East China Sea, following AERONET-OC protocols. These platforms, Muping and Dong’ou, provide essential long-term data for satellite product validation, a foundational achievement for China’s ocean color program. Chen’s work bridges the gap between satellite observations and real-world coastal dynamics, making him a key contributor to operational oceanography and climate research.
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