Zhongping Lee
Papers
4
Total Citations
300
H-Index
3
About
Zhongping Lee is a leading figure in aquatic remote sensing, whose work has fundamentally advanced our ability to observe coastal and inland waters from space. His research centers on the critical challenges of atmospheric correction and radiometric characterization, particularly for complex, turbid waters where standard algorithms often fail. Lee’s major contributions include the on-orbit radiometric characterization of the Landsat-8 OLI sensor, a foundational study with 244 citations that enabled high-quality aquatic applications from this key satellite. He further revolutionized the field by revising NASA’s SeaDAS atmospheric correction algorithm, integrating artificial neural networks to accurately estimate remote-sensing reflectance in the near-infrared over turbid waters. His investigations into the effects of non-nadir viewing geometry for AERONET-OC data have also been pivotal, providing essential uncertainty estimates for above-water radiometry. Most recently, Lee has developed a novel atmospheric correction algorithm for coastal waters (ACA-SIM) that leverages satellite–AERONET-OC matchups to overcome persistent challenges from suspended sediments and absorbing aerosols. Through these innovations, Lee has provided the global scientific community with robust tools to monitor water quality, track harmful algal blooms, and study aquatic ecosystems with unprecedented accuracy.
Research Focus
Key Achievements
Top Papers
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