Sungwon Choi

Papers

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About

Sungwon Choi is a leading figure in satellite remote sensing, with a primary focus on advancing land surface albedo algorithms for geostationary meteorological satellites. His most cited work, the 2020 paper "Development of Land Surface Albedo Algorithm for the GK-2A/AMI Instrument," has garnered 18 citations and represents a cornerstone contribution to Korea’s next-generation Geo-KOMPSAT-2A (GK-2A) satellite, launched in December 2018. This research directly enabled high-resolution (0.5–2 km) albedo retrievals from the Advanced Meteorological Imager (AMI), a critical capability for climate monitoring and energy balance studies. By tackling the unique challenges of geostationary orbit—such as varying solar angles and rapid temporal sampling—Choi’s algorithm improved the accuracy of surface reflectance data, supporting applications in weather forecasting, agriculture, and environmental modeling. His work bridges the gap between sensor design and operational Earth observation, demonstrating profound impact on both Korean meteorological infrastructure and global satellite remote sensing communities. Choi’s achievements underscore his role as a key innovator in leveraging geostationary platforms for real-time land surface monitoring, making him a vital resource for students and researchers exploring satellite-based climate science.