Fei Xiao
Papers
1
Total Citations
32
H-Index
1
About
Fei Xiao is a leading environmental remote sensing researcher whose work bridges satellite observations and air quality monitoring. Her primary research focuses on developing advanced aerosol retrieval algorithms, particularly for urban environments where traditional methods often fail due to complex land surfaces. Xiao’s most influential contribution is her improved aerosol retrieval algorithm using Landsat imagery, which enables high-resolution mapping of particulate matter (PM10) over cities. This breakthrough, detailed in her 2014 paper (32 citations), provides a robust framework for integrating satellite data with ground-based monitoring, offering critical insights for public health and pollution control. By refining how aerosols are detected from space, Xiao has enhanced the accuracy of air quality assessments in densely populated areas, directly supporting environmental policy and epidemiological studies. Her work is widely recognized for its practical applications, helping researchers and policymakers better understand the spatial distribution of urban air pollution. With a career dedicated to solving real-world environmental challenges, Xiao continues to push the boundaries of remote sensing technology, making her a key figure in the intersection of Earth observation and atmospheric science.
Research Focus
Key Achievements
Top Papers
- 1