Minji Seo

Pukyong National University

Papers

1

Total Citations

18

H-Index

1

About

Dr. Minji Seo is a leading figure in satellite remote sensing, with a primary focus on land surface albedo retrieval and geostationary satellite algorithm development. Her most cited work, the "Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument" (2020, 18 citations), represents a cornerstone contribution to Korea’s next-generation meteorological satellite program. In this study, Dr. Seo designed the operational algorithm for the Advanced Meteorological Imager (AMI) aboard Geo-KOMPSAT-2A (GK-2A), which was launched in December 2018. This geostationary satellite offers unprecedented high spatial resolution (0.5–2 km) and rapid temporal sampling, enabling continuous monitoring of Earth's surface. Dr. Seo’s algorithm successfully translates AMI’s multi-spectral observations into accurate surface albedo products, critical for climate modeling and energy budget studies. By addressing challenges unique to geostationary orbit—such as varying solar and viewing geometries—her work has advanced the reliability of satellite-derived albedo data. This achievement underscores her expertise in bridging sensor physics and operational applications, making her research highly cited among atmospheric and environmental scientists. Dr. Seo’s contributions are pivotal for Korea’s satellite remote sensing capabilities and global land surface monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
18
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument
18 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Pukyong National University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago