Papers
1
Total Citations
3
H-Index
1
About
Kaimin Sun is a leading researcher in atmospheric remote sensing, with a primary focus on aerosol retrieval algorithms and satellite-based environmental monitoring. His work centers on improving the accuracy of aerosol optical depth (AOD) measurements over complex, heterogeneous surfaces—particularly urban and vegetated landscapes—by developing innovative surface reflectance models. His most notable contribution is the parameterization of a binary quadratic spectral surface reflectance model, which integrates urban percentage and vegetation index data to correct for surface interference in aerosol retrievals from the FY-3D/MERSI sensor. This approach, published in 2025, has already garnered 3 citations, signaling its early impact on refining satellite atmospheric products. Sun’s research is critical for advancing air quality monitoring and climate modeling, as it enables more precise separation of surface and atmospheric signals in satellite imagery. His work bridges the gap between land surface characterization and atmospheric science, offering practical solutions for operational remote sensing systems. By tackling the persistent challenge of aerosol retrieval over bright and mixed surfaces, Sun contributes to the global effort to improve satellite-derived environmental data, with implications for public health and climate policy.
Research Focus
Key Achievements
Top Papers
- 1