Huihui Feng
Papers
3
Total Citations
127
H-Index
3
About
Huihui Feng is a leading researcher in satellite remote sensing, specializing in the retrieval, evaluation, and spatiotemporal fusion of aerosol optical depth (AOD) products. Her work is critical for improving atmospheric monitoring over complex regions like China. Feng’s major contributions include the rigorous evaluation of the Multiangle Implementation of Atmospheric Correction (MAIAC) algorithm against standard MODIS products (Dark Target and Deep Blue), demonstrating MAIAC’s superior spatial resolution and accuracy for regional air quality studies. Her most cited paper (2019, 99 citations) provides a comprehensive benchmark for these products over China. To address the persistent challenge of data gaps in satellite AOD records, Feng developed an enhanced Fixed Rank Smoothing method (2020, 17 citations) that achieves both high accuracy and computational efficiency, outperforming traditional approaches like Bayesian Maximum Entropy. This innovation enables more reliable long-term aerosol trend analyses. Feng’s work directly supports applications in climate modeling and environmental health, establishing her as a key figure in advancing high-resolution atmospheric data fusion and validation.
Research Focus
Key Achievements
Top Papers
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- 3Evaluation and comparison of MAIAC, DT and DB aerosol productsover China11 citations · 2019