Xiaofei Mi
Papers
2
Total Citations
7
H-Index
2
About
Xiaofei Mi is a leading researcher in atmospheric aerosol remote sensing, with a focus on advancing methods to monitor aerosol optical depth (AOD)—a critical parameter for understanding climate change, air quality, and public health. Her major contributions include developing a dual-channel AOD retrieval algorithm that incorporates the Bidirectional Reflectance Distribution Function (BRDF) effect from AVHRR satellite data over Eastern Asia. This innovative approach simultaneously retrieves AOD and surface reflectance, improving accuracy over traditional one-channel methods and addressing complex land surface challenges. Additionally, Mi pioneered an all-day AOD estimation technique using ground air quality data in the Beijing–Tianjin–Hebei region, enabling continuous monitoring where satellite observations are limited. Her work directly supports environmental studies and pollution control in one of the world’s most aerosol-affected areas. With key papers accumulating citations (e.g., 4 and 3 citations for her most-cited works), Mi’s research is gaining recognition for its practical impact on climate and air quality science. Her achievements highlight a commitment to bridging satellite and ground-based data, offering vital tools for researchers and policymakers tackling atmospheric challenges.
Research Focus
Key Achievements
Top Papers
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- 2