Liqiao Tian
Papers
2
Total Citations
16
H-Index
2
About
Dr. Liqiao Tian is a leading figure in satellite oceanography, whose work is revolutionizing how we monitor coastal and inland waters from space. His primary research focuses on the development of advanced atmospheric correction algorithms—a critical step for obtaining accurate data from ocean color sensors. Dr. Tian’s major contributions lie in harnessing the power of deep learning to solve long-standing challenges in this field. Notably, his 2023 paper on a neural network-based atmospheric correction algorithm for the Geostationary Ocean Color Imager (GOCI) directly addresses the difficulty of retrieving reliable bio-optical parameters in optically complex coastal waters. Building on this, his most-cited work, also from 2023, tackles the persistent problem of atmospheric correction under cloud edge effects, achieving 12 citations in a short time. By leveraging GOCI’s unique eight-daily observations, Dr. Tian’s innovations are enabling more precise tracking of dynamic coastal processes, from sediment plumes to algal blooms. His pioneering integration of machine learning with remote sensing is not only advancing the quantitative retrieval of water quality parameters but also setting a new standard for accuracy in aquatic remote sensing.
Research Focus
Key Achievements
Top Papers
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