Zhongmin Zhu
Papers
3
Total Citations
57
H-Index
3
About
Zhongmin Zhu is a leading figure in satellite-based atmospheric remote sensing, whose work has fundamentally advanced how we observe and model aerosol optical depth (AOD) from space. His research centers on fusing multi-sensor satellite data—combining active and passive remote sensing—to overcome persistent gaps in spatial coverage caused by orbital swaths and cloud cover. In his highly cited 2017 paper (25 citations), Zhu pioneered an NDVI-based multi-temporal regression method that significantly improved the spatial continuity of Aqua MODIS AOD retrievals. He further elevated the field by applying Bayesian Maximum Entropy to merge active and passive satellite observations (2021, 19 citations), creating a more robust and physically consistent AOD fusion framework. Most recently, Zhu achieved a breakthrough with the first-ever retrieval of daily 160-meter AOD over urban areas using China’s Gaofen-1/6 satellites (2024, 13 citations), a leap in spatial resolution that enables unprecedented local-scale air quality and health risk assessments. His work directly addresses the critical data-missing problem limiting atmospheric and climate research, making satellite AOD products more reliable and actionable for environmental monitoring and public health.
Research Focus
Key Achievements
Top Papers
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