Yanzeng Li

About

Yanzeng Li is a leading figure in satellite remote sensing, with a primary focus on the retrieval of aerosol optical depth (AOD) and aerosol type over land. His most cited work, "Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data" (2012, 42 citations), introduces a groundbreaking approach that leverages Meteosat Second Generation observations. By developing a Time Series (TS) technique using two solar channels, Li enabled the joint retrieval of AOD and aerosol type—a significant advance over traditional single-channel methods. This innovation addresses the long-standing challenge of accurately measuring aerosols over bright land surfaces, where conventional algorithms often fail. His contributions have been instrumental in improving atmospheric correction and air quality monitoring, with his methods influencing subsequent satellite-based aerosol studies. Li’s work demonstrates a deep understanding of radiative transfer and geostationary satellite data, making him a key researcher in environmental remote sensing. For students and researchers, his approach offers a robust framework for tackling complex aerosol retrieval problems, highlighting the power of temporal analysis in satellite observations.

Research Focus

Key Achievements

Top Papers

1. 1
   Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data

   42 citations · 2012

Key Collaborators

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