Disong Fu
Papers
2
Total Citations
43
H-Index
2
About
Disong Fu is a leading researcher in atmospheric remote sensing, with a primary focus on the estimation of surface particulate matter (PM2.5) concentrations using satellite aerosol optical depth (AOD) products. His work bridges the gap between space-based observations and ground-level air quality monitoring, addressing critical challenges in pollution assessment and environmental health. In his highly cited 2018 study, "Synergy of AERONET and MODIS AOD products in the estimation of PM2.5 concentrations in Beijing" (31 citations), Fu pioneered a synergistic approach that combines ground-based AERONET data with MODIS satellite retrievals to overcome limitations such as cloud cover and heavy pollution interference, significantly improving PM2.5 estimation accuracy in urban environments. More recently, his 2023 validation of the improved GOES-16 AOD product over North America (12 citations) demonstrates his continued impact on advancing geostationary satellite capabilities for real-time air quality monitoring. Fu’s work is instrumental for researchers and policymakers seeking robust methodologies to integrate multi-source remote sensing data for environmental monitoring, with his citation record reflecting the growing importance of satellite-based air quality assessment in atmospheric science.
Research Focus
Key Achievements
Top Papers
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