Yuxi Ji
Papers
1
Total Citations
35
H-Index
1
About
Yuxi Ji is a leading researcher in satellite-based aerosol remote sensing, with a primary focus on improving the accuracy of Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) retrievals. Her most cited work, published in 2019 (35 citations), provides a rigorous evaluation of MODIS Collection 6.1 and Collection 6 Dark Target AOD products over mainland China. In this study, Ji systematically assessed the impact of critical algorithm modifications—including the degradation of retrieval quality for mixed coastal pixels and revisions to surface characterization schemes—on data quality under diverse conditions such as spatiotemporal distribution, haze effects, and varying underlying surfaces. This contribution is vital for enhancing the reliability of global aerosol datasets used in climate modeling and air quality monitoring. Ji’s research directly addresses the challenges of retrieving AOD in complex environments, offering actionable insights for algorithm developers and end-users. Her work has been instrumental in advancing the understanding of how satellite retrieval algorithms perform in polluted and heterogeneous regions, making her a key figure in the field of atmospheric remote sensing.
Research Focus
Key Achievements
Top Papers
- 1