Papers
3
Total Citations
38
H-Index
3
About
Delu Pan is a leading figure in satellite oceanography and atmospheric correction, whose work has fundamentally advanced how we observe Earth’s oceans and coastal zones from space. His research focuses on developing and validating algorithms that remove atmospheric interference from satellite imagery, enabling accurate retrieval of aerosol properties and water-leaving radiance. Pan’s most influential contribution is his critical evaluation of the aerosol models used in the operational atmospheric correction algorithms for NASA’s SeaWiFS and MODIS sensors. By cross-validating these models against AERONET data over open oceans, his 2011 study (19 citations) provided essential insights that improved the accuracy of global ocean color products. He further pioneered a potentially universal algorithm for estimating aerosol scattering reflectance (2013, 12 citations), offering a more robust framework for satellite remote sensing. More recently, Pan has applied his expertise to high-resolution sensors, leading a comprehensive evaluation of LaSRC aerosol optical depth from Landsat-8 and Sentinel-2 in China’s Greater Bay Area (2022, 7 citations). His work bridges global ocean observations with regional environmental monitoring, making him a key contributor to the operational success of Earth-observing missions and a trusted authority in atmospheric correction science.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3