Kyunghwa Lee
Papers
3
Total Citations
25
H-Index
3
About
Kyunghwa Lee is a remote sensing researcher specializing in atmospheric aerosol science, satellite data fusion, and the retrieval and validation of aerosol optical depth (AOD). Their work centers on leveraging cutting-edge geostationary satellite instrumentation — particularly the Geostationary Korea Multi-Purpose Satellite (GEO-KOMPSAT) series, including the GEMS, AMI, and GOCI-II instruments — to advance our understanding of aerosol distributions at regional and global scales. Lee has made significant contributions by developing and applying both statistical and deep neural network (DNN)-based methods to fuse multi-sensor AOD datasets, improving the accuracy and spatial coverage of aerosol monitoring from geostationary orbit. Their validation work, benchmarking satellite-retrieved AODs against the Aerosol Robotic Network (AERONET), has provided critical insights into the spectral and spatial dependencies that affect retrieval reliability. With a growing citation record — including 14 citations for their landmark 2024 data fusion study — Lee's research is gaining recognition within the atmospheric science and Earth observation communities. Their contributions are particularly valuable for air quality monitoring, climate modeling, and the continued refinement of next-generation satellite retrieval algorithms.
Research Focus
Key Achievements
Top Papers
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