Papers

3

Total Citations

25

H-Index

3

About

Jiaguo Li is a leading researcher in satellite remote sensing, with a primary focus on aerosol retrieval and atmospheric correction for Earth observation. His work is pivotal in advancing the use of geostationary satellites for continuous, high-resolution monitoring of atmospheric aerosols. Li’s major contributions include the development and validation of the NNAeroG algorithm, which successfully demonstrated the capability of the FY-4A/AGRI sensor for aerosol optical depth (AOD) retrieval, a critical step for air quality monitoring. He has also significantly advanced the understanding of how atmospheric scattering and turbulence degrade image quality, deriving sensor-specific modulation transfer functions (MTFs) for Chinese satellite platforms like CBERS-02b and HJ-1A/1B. His recent work extends to the remote sensing retrieval of aerosol types across China using geostationary data, providing valuable insights into aerosol composition and sources. With his most-cited papers accumulating over 25 citations, Li’s research directly supports the operational use of Chinese satellite data for environmental monitoring and climate studies, establishing him as a key figure in the field of atmospheric remote sensing.

Research Focus

Key Achievements

3
H-Index
3
Papers
25
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago