Xinyao Tian
Papers
2
Total Citations
36
H-Index
2
About
Xinyao Tian is a leading researcher in satellite aerosol remote sensing, with a primary focus on improving the accuracy of aerosol optical depth (AOD) retrievals over bright and complex surfaces. Her work is critical for understanding atmospheric composition in arid and semi-arid regions, where traditional retrieval algorithms often fail. Tian’s major contributions include the rigorous evaluation and comparison of the MODIS Deep Blue (DB) aerosol products, specifically versions C6 and C6.1, over the challenging bright surfaces of northwestern China. Her 2022 study, which has garnered 19 citations, revealed significant regional inaccuracies in these global products, providing essential feedback for algorithm developers. Building on this, her 2023 work (17 citations) expanded the validation to include the Multi-Angle Implementation of Atmospheric Correction (MAIAC) product, offering a comprehensive error analysis over China’s bright surfaces. By systematically identifying and characterizing retrieval errors, Tian’s research directly informs the refinement of satellite-based aerosol monitoring, which is vital for climate modeling, air quality assessment, and public health studies. Her findings are particularly valuable for researchers working on aerosol-climate interactions in dust-prone regions.
Research Focus
Key Achievements
Top Papers
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- 2