Pei Lui
Papers
1
Total Citations
12
H-Index
1
About
Pei Lui is a leading figure in the field of atmospheric remote sensing, with a focused expertise in aerosol retrieval over complex land surfaces. His most significant contribution is the development of an innovative aerosol retrieval algorithm based on adaptive land–atmospheric decoupling, designed specifically for polarized remote sensing. This work, published in 2018, has garnered 12 citations, underscoring its importance in advancing the accuracy of aerosol characterization from satellite data. By addressing the challenge of separating surface and atmospheric signals, Lui’s algorithm enhances the retrieval of aerosol optical properties, which is critical for climate modeling and air quality monitoring. His research bridges a key gap in remote sensing science, enabling more reliable observations over heterogeneous terrains. Pei Lui’s work continues to influence the design of next-generation satellite sensors and retrieval methods, marking him as an innovator in Earth observation.
Research Focus
Key Achievements
Top Papers
- 1