Ning Liu
Papers
1
Total Citations
99
H-Index
1
About
Ning Liu is a prominent atmospheric scientist whose research centers on aerosol remote sensing, air quality monitoring, and atmospheric correction algorithms. Liu's work has made significant contributions to the evaluation and improvement of satellite-based aerosol retrieval methods, with a particular focus on the complex atmospheric conditions over China — one of the world's most challenging regions for aerosol monitoring due to its high pollution levels and diverse land surface types. Among Liu's most notable contributions is a rigorous comparative analysis of three leading aerosol retrieval algorithms — the Multiangle Implementation of Atmospheric Correction (MAIAC), Dark Target, and Deep Blue — applied to MODIS satellite data over China. This 2019 study, which has garnered 99 citations, provided the scientific community with critical insights into the strengths and limitations of each algorithm, directly informing more accurate aerosol optical depth (AOD) retrievals at high spatial resolution. By bridging satellite remote sensing and ground-based validation, Liu's research has meaningfully advanced our ability to monitor particulate matter and assess air quality from space. This work holds particular relevance for environmental policy, public health research, and climate science communities worldwide seeking reliable aerosol datasets for heavily polluted regions.
Research Focus
Key Achievements
Top Papers
- 1