Zigeng Song
Papers
2
Total Citations
43
H-Index
2
About
Zigeng Song is a leading researcher in satellite ocean color remote sensing, with a primary focus on the complex challenges posed by atmospheric aerosols. His work centers on improving the accuracy of atmospheric correction algorithms, particularly for coastal waters where absorbing aerosols like dust and smoke significantly distort satellite measurements. Song’s major contributions include demonstrating that the vertical distribution of absorbing aerosols has a nonnegligible impact on water-leaving radiance retrieval, especially at critical blue and ultraviolet bands. His 2023 paper, "Atmospheric correction of absorbing aerosols for satellite ocean color remote sensing over coastal waters," has already garnered 30 citations, underscoring its importance to the field. His 2022 study, with 13 citations, further established the necessity of accounting for aerosol vertical profiles in correction models. By addressing these overlooked factors, Song’s work enables more reliable monitoring of coastal water quality, phytoplankton dynamics, and ecosystem health from space. His research is essential for advancing the precision of ocean color data used in climate and environmental studies.
Research Focus
Key Achievements
Top Papers
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