Minji Seo
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
Top Papers
- 1Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument18 citations · 2020