Mingjun He

Zhejiang Ocean University

Papers

1

Total Citations

14

H-Index

1

About

Mingjun He is a leading figure in ocean color remote sensing, with a focus on advancing satellite-based monitoring of coastal and open-ocean waters. His research centers on the calibration and validation of ocean color sensors, particularly geostationary platforms like the Geostationary Ocean Color Imager (GOCI)—the world’s first operational sensor of its kind. He’s best known for his work assessing normalized water-leaving radiance derived from GOCI, using high-quality AERONET-OC data to evaluate sensor accuracy and its ability to capture subdiurnal changes in seawater properties. This foundational study, with 14 citations, has been instrumental in demonstrating GOCI’s capability to monitor short-term, small-scale dynamics over the northwestern Pacific Ocean. He’s also contributed to improving atmospheric correction algorithms and understanding bio-optical variability in complex coastal waters. His work has direct implications for tracking harmful algal blooms, sediment transport, and water quality changes, making him a key contributor to operational oceanography. With a growing citation record and a reputation for rigorous validation studies, He continues to shape how scientists and resource managers use satellite data to observe rapidly changing marine environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Assessment of Normalized Water-Leaving Radiance Derived from GOCI Using AERONET-OC Data
14 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Zhejiang Ocean University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago