Papers
1
Total Citations
2
H-Index
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About
Pei Li is an atmospheric scientist whose research sits at the intersection of remote sensing, aerosol characterization, and three-dimensional atmospheric reconstruction. His most notable work focuses on developing innovative algorithms to bridge the gap between sparse vertically resolved observations and spatially continuous aerosol data. In his 2024 paper, "Three-dimensional reconstruction of aerosols based on spectral radiance matching," Li introduces a scene construction algorithm that intelligently assigns CALIPSO-observed aerosol profiles to MODIS imagery pixels through spectral radiance matching, effectively transforming limited lidar measurements into regionally comprehensive three-dimensional aerosol fields. This contribution addresses a longstanding challenge in atmospheric remote sensing — the spatial discontinuity inherent in polar-orbiting lidar data — and offers a practical pathway toward more complete aerosol mapping critical for climate modeling and air quality assessment. Though early in its citation trajectory with 2 citations, the work represents a technically sophisticated fusion of active and passive remote sensing instruments. Li's research holds significant promise for advancing our understanding of aerosol vertical distribution and its radiative effects, making him a researcher to watch in the growing field of multi-sensor atmospheric data integration.
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Top Papers
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