Seung Hee Kim
Papers
3
Total Citations
41
H-Index
3
About
Seung Hee Kim is a rising environmental remote sensing scientist whose work focuses on advancing the characterization of atmospheric aerosols and their impacts on air quality. Her primary research areas include satellite-based aerosol optical depth (AOD) retrieval, data gap-filling using machine learning, and the novel application of nighttime AOD for particulate matter (PM) estimation. Dr. Kim’s most cited work, “Assessment of Aerosol Optical Depth under Background and Polluted Conditions using AERONET and VIIRS Datasets” (2020, 30 citations), provides a critical evaluation of satellite AOD performance across varying pollution levels. She has also pioneered approaches to overcome cloud-induced data gaps, developing machine learning models that integrate high-frequency Himawari-8 observations with meteorological data to produce seamless AOD maps over the Korean Peninsula (2024). Notably, her feasibility analysis of AERONET lunar AOD for nighttime PM estimation (2023) breaks new ground by extending air quality monitoring beyond daylight hours—a significant achievement that addresses a long-standing limitation in the field. Through these contributions, Dr. Kim is helping to build a more complete, 24-hour picture of aerosol distribution and its health implications.
Research Focus
Key Achievements
Top Papers
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