Papers
4
Total Citations
283
H-Index
3
About
Zongwei Ma is a leading researcher in satellite-based aerosol remote sensing and air quality monitoring, with a focus on fine particulate matter (PM₂.₅) and its chemical composition. His major contributions include advancing methods to estimate ground-level PM₂.₅ concentrations from satellite aerosol optical depth (AOD) data, particularly using the Geostationary Ocean Color Imager (GOCI) over eastern China—a high-resolution approach that has been cited over 80 times. Ma is also a key contributor to the global SPARTAN network, which characterizes the chemical composition of PM₂.₅ worldwide; his 2016 paper on this topic has garnered nearly 200 citations, highlighting its impact on understanding aerosol health effects and climate interactions. More recently, he has developed innovative algorithms to derive particle size distributions from MISR satellite data, moving beyond total mass to capture aerosol microphysics. His work bridges satellite observations and ground-based validation, providing critical tools for environmental health assessments and policy. With a growing citation record and a focus on both regional and global scales, Ma’s research is essential for students and scientists working at the intersection of remote sensing, atmospheric chemistry, and public health.
Research Focus
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Top Papers
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