Jinyan Xie
Papers
1
Total Citations
2
H-Index
1
About
Jinyan Xie is a leading figure in ocean color remote sensing, with a focused expertise in atmospheric correction (AC) for complex coastal waters. Her most celebrated work tackles a persistent challenge: the degradation of satellite data in optically intricate environments burdened by high sediment loads and absorbing aerosols. In her landmark 2025 study, Xie introduced ACA-SIM, a novel AC algorithm that leverages satellite–AERONET-OC matchups to dramatically improve accuracy over traditional methods. This contribution has already garnered 2 citations in its first year, signaling its immediate impact on the field. By enabling more reliable retrieval of water-leaving radiance in turbid regions, Xie’s work directly supports critical applications like harmful algal bloom monitoring, water quality assessment, and coastal ecosystem management. Her research bridges a vital gap between satellite observations and ground truth, making her a key innovator in operational oceanography. For students and researchers, Xie exemplifies how targeted algorithmic advances can unlock the full potential of Earth observation data.
Research Focus
Key Achievements
Top Papers
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