Yusi Huang
Papers
2
Total Citations
54
H-Index
2
About
Yusi Huang is a leading researcher in satellite remote sensing of aerosols, with a focus on improving the accuracy and coverage of aerosol optical depth (AOD) retrievals. Their work is critical for advancing studies in atmospheric environment, climate change, and biogeochemical cycles. Huang’s major contributions include a comprehensive evaluation of MODIS Dark Target AOD products over mainland China, revealing how spatiotemporal distribution, haze effects, and underlying surfaces impact retrieval quality—a study that has garnered 35 citations. They further pioneered a novel fusion method combining active and passive satellite data using Bayesian Maximum Entropy, significantly reducing data gaps in AOD products. This innovative approach, cited 19 times, enables more robust atmospheric research by providing continuous, high-quality aerosol data. Huang’s work directly addresses the longstanding challenge of missing satellite data, offering practical solutions for environmental monitoring and climate modeling. Their research is essential for scientists seeking reliable aerosol datasets to understand air pollution dynamics and radiative forcing.
Research Focus
Key Achievements
Top Papers
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