Papers
1
Total Citations
53
H-Index
1
About
Yanci Ma is a leading figure in satellite remote sensing and atmospheric aerosol research, with a particular focus on improving air quality monitoring from space. Her most impactful work centers on advancing high-spatial-resolution aerosol retrieval algorithms, notably through her widely cited 2018 study on an improved algorithm for MODIS imagery over land. This research directly addresses a critical limitation in operational satellite products, which often lack the fine-scale data needed for urban and regional air quality studies. By enhancing the retrieval of aerosol optical depth (AOD) from MODIS data, Ma’s contributions have enabled more accurate and localized assessments of particulate pollution. Her work, which has garnered over 50 citations, is instrumental for scientists and policymakers seeking to bridge the gap between coarse satellite observations and ground-level air quality. Through these methodological innovations, Yanci Ma has established herself as a key contributor to the field, providing essential tools for environmental monitoring and public health research.
Research Focus
Key Achievements
Top Papers
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