Papers
1
Total Citations
2
H-Index
1
About
Dr. Lijuan Chen is a leading figure in atmospheric remote sensing, with a primary focus on advancing aerosol optical depth (AOD) retrieval from satellite observations. Her work addresses a critical bottleneck in Earth observation: the challenge of accurately separating land surface reflectance from atmospheric signals. Chen’s most notable contribution is the development of a multi-angle AOD retrieval method based on an improved surface reflectance model, which directly tackles the land–atmosphere coupling issue that degrades the spatial resolution of current major satellite AOD products. This innovative approach, detailed in her 2024 paper, has already garnered attention with 2 citations, signaling its early impact on the field. By enhancing the accuracy and resolution of aerosol monitoring, Chen’s research supports critical applications in climate modeling, air quality assessment, and environmental health studies. Her work is particularly valuable for improving satellite-based observations over complex terrains, where traditional methods often fail. Dr. Chen’s dedication to refining remote sensing techniques positions her as a key contributor to the next generation of high-resolution atmospheric data products.
Research Focus
Key Achievements
Top Papers
- 1