Junwei Xu

Dalhousie University

Papers

2

Total Citations

84

H-Index

2

About

Junwei Xu is a leading researcher in satellite-based atmospheric remote sensing, with a primary focus on estimating ground-level fine particulate matter (PM₂.₅) concentrations. His major contribution lies in pioneering the use of high-resolution geostationary satellite data to map air pollution over Eastern China. In his most cited work (2015, 82 citations), Xu developed a novel method to retrieve PM₂.₅ at an unprecedented 6 km horizontal resolution using aerosol optical depth (AOD) from the Geostationary Ocean Color Imager (GOCI). This approach enabled near-real-time, high-frequency monitoring of air quality, overcoming limitations of polar-orbiting satellites. By implementing a sophisticated statistical model, he demonstrated how geostationary observations could capture the diurnal variability of pollution, providing critical insights for public health and environmental policy. Xu’s research has been instrumental in advancing satellite-based air quality assessment, bridging the gap between spaceborne observations and ground-level exposure. His work is widely cited by atmospheric scientists and epidemiologists, underscoring its impact on both environmental monitoring and health impact studies.

Research Focus

Key Achievements

2
H-Index
2
Papers
84
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Estimating ground-level PM <sub>2.5</sub> in eastern China using aerosol optical depth determined from the GOCI satellite instrument
82 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Dalhousie University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago