Papers

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Total Citations

2

H-Index

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About

Dr. Haishan Chen is a leading figure in atmospheric remote sensing, whose work has fundamentally advanced the retrieval of aerosol optical depth (AOD) from satellite observations. His primary research focuses on tackling the persistent challenge of decoupling land surface reflectance from atmospheric signals to achieve more accurate aerosol measurements. Chen’s major contribution lies in the development of a multi-angle aerosol optical depth retrieval method that incorporates an improved surface reflectance model. This approach directly addresses the limitations of current major satellite AOD products, which suffer from low spatial resolution and accuracy due to the complex interplay between land and atmosphere. By refining how surface reflectance is estimated, his method enables higher-resolution and more reliable AOD data, which is critical for climate modeling and air quality monitoring. His 2024 paper on this technique has already garnered attention, and his ongoing work is poised to significantly enhance the utility of Earth observation data for environmental science.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Multi-angle aerosol optical depth retrieval method based on improved surface reflectance
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanjing University of Information Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago