Papers

2

Total Citations

17

H-Index

2

About

Haonan Ding is a leading researcher in satellite-based atmospheric remote sensing, with a primary focus on aerosol monitoring using geostationary platforms. His major contributions center on advancing the retrieval of aerosol optical depth (AOD) and aerosol typing from China’s Fengyun-4A (FY-4A) satellite. In his highly cited 2022 work, Ding pioneered the use of the NNAeroG algorithm to validate and test the AOD retrieval capability of the Advanced Geostationary Radiation Imager (AGRI), demonstrating how its high spatial and temporal resolution can enable continuous atmospheric aerosol surveillance. Building on this, his 2023 study broke new ground by developing a remote sensing method to classify aerosol types across China using geostationary satellite data—a critical step for understanding regional pollution sources and transport. Collectively, his papers have garnered over 17 citations, reflecting the growing importance of his work in operational air quality monitoring. Ding’s research is particularly notable for bridging the gap between geostationary satellite capabilities and real-world environmental applications, offering a scalable framework for future atmospheric composition studies.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
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: 17
🏛 Institutions: Chinese Academy of Sciences, Aerospace Information Research Institute

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago