Zhihua Mao
Papers
2
Total Citations
19
H-Index
2
About
Zhihua Mao is a leading figure in satellite remote sensing, with a primary focus on atmospheric aerosol retrieval and its application to environmental monitoring. His work is central to improving the accuracy of satellite-derived aerosol optical depth (AOD), a critical parameter for climate and air quality studies. Mao’s most influential contribution is the development of a potentially universal algorithm for estimating aerosol scattering reflectance from satellite data, a foundational method that has garnered 12 citations and continues to inform global retrieval techniques. More recently, he has advanced the practical application of these methods through a rigorous evaluation of the LaSRC aerosol optical depth product from Landsat-8 and Sentinel-2, specifically over the complex urban and coastal terrain of the Guangdong-Hong Kong-Macao Greater Bay Area. This 2022 study, with 7 citations, demonstrates his commitment to validating satellite algorithms in real-world, high-stakes environments. By bridging theoretical algorithm design with regional validation, Mao’s research provides essential tools for monitoring air pollution and understanding aerosol radiative effects, making his work indispensable for both atmospheric scientists and environmental policymakers.
Research Focus
Key Achievements
Top Papers
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- 2