Yangjie Guo
Papers
1
Total Citations
53
H-Index
1
About
Yangjie Guo is a leading researcher in the field of environmental remote sensing, with a primary focus on satellite-based monitoring of atmospheric particulate matter. His most cited work, "Satellite remote sensing of fine particulate matter (PM2.5) air quality over Beijing using MODIS" (2014), has garnered 53 citations and stands as a foundational contribution to the use of satellite data for assessing urban air quality. In this study, Guo pioneered methods to derive ground-level PM2.5 concentrations from MODIS satellite imagery, directly addressing the severe health and visibility challenges posed by fine particulate pollution in Beijing. His research bridges the gap between satellite observations and public health monitoring, providing critical tools for tracking air quality categories and environmental policy. By demonstrating how remote sensing can effectively map PM2.5 across large urban areas, Guo’s work has enabled more accurate, real-time assessments of air pollution exposure. His contributions are particularly impactful for researchers and policymakers tackling environmental challenges in rapidly industrializing regions, cementing his reputation as a key figure in the intersection of satellite technology and atmospheric science.
Research Focus
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Top Papers
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