Ying Fei

Nanjing Normal University

Papers

2

Total Citations

18

H-Index

2

About

Ying Fei is a leading researcher in atmospheric remote sensing, specializing in the retrieval of aerosol optical depth (AOD) from satellite observations. Her work focuses on advancing high-temporal-resolution AOD products, which are critical for studying atmospheric environment dynamics and climate change. Fei’s most cited paper, "Retrieval of High Temporal Resolution Aerosol Optical Depth Using the GOCI Remote Sensing Data" (2021, 16 citations), demonstrates her pioneering use of Geostationary Ocean Color Imager (GOCI) data to capture hourly aerosol changes, addressing the limitations of low-temporal-resolution polar-orbiting satellites. This work has significant implications for real-time air quality monitoring and climate modeling. More recently, in "Multi-angle aerosol optical depth retrieval method based on improved surface reflectance" (2024, 2 citations), Fei tackles the challenge of land–atmosphere coupling by developing a novel method to estimate surface reflectance more accurately, enabling higher-spatial-resolution AOD retrievals. Her research bridges critical gaps in satellite-based aerosol monitoring, offering tools that enhance our understanding of aerosol impacts on weather, health, and climate. Fei’s contributions are particularly valuable for advancing remote sensing techniques in complex terrestrial environments, making her a key figure in the field of atmospheric science.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Retrieval of High Temporal Resolution Aerosol Optical Depth Using the GOCI Remote Sensing Data
16 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Nanjing Normal University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago