Pei Xin
Papers
6
Total Citations
67
H-Index
5
About
Pei Xin is a leading researcher in satellite-based aerosol remote sensing, with a primary focus on developing and validating algorithms for retrieving aerosol optical depth (AOD) over both land and ocean. Their major contributions center on adapting and refining the Dark Target (DT) aerosol algorithm for Chinese Fengyun-3 MERSI sensors, enabling global aerosol monitoring from this MODIS-like instrument. Notably, they have conducted extensive global validations of DT products from multiple satellite platforms, including MODIS, VIIRS, and POLDER-3 GRASP, with key studies accumulating over 17 citations each. Their work has significantly improved retrieval accuracy over bright surfaces in China and complex urban environments by parameterizing surface reflectance models using vegetation indices and urban percentage. Pei Xin’s research has been instrumental in bridging the gap between international aerosol products and Chinese satellite data, supporting climate and air quality studies. With several recent high-impact publications (2022–2025), they continue to advance the field of satellite aerosol retrieval, ensuring robust, validated data for global environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6