Linyan Bai

Institute of Remote Sensing and Digital Earth, University of Chinese Academy of Sciences

Papers

Total Citations

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About

Dr. Linyan Bai is a remote sensing scientist whose work focuses on the critical challenge of retrieving atmospheric aerosol properties from satellite data. Her research centers on developing quantitative methods to simultaneously determine aerosol optical thickness (AOT) and surface reflectance, a complex problem essential for understanding climate forcing and air quality. In her most cited work (2011, 7 citations), Dr. Bai introduced an innovative algorithm for operational use with ASTER visible to near-infrared data, enabling the extraction of both atmospheric and surface parameters from a single sensor. This approach improves the accuracy of land surface monitoring by correcting for atmospheric interference. Earlier, she pioneered techniques for retrieving AOT from geostationary FY-2 VISSR data (2009, 2 citations), addressing the need for continuous aerosol monitoring over regional scales. Her contributions are particularly significant given aerosols’ profound impacts on climate, ecosystems, and human health. By advancing methods to disentangle atmospheric and surface signals, Dr. Bai has provided tools that support environmental monitoring, climate modeling, and public health assessments, making her work valuable for researchers studying aerosol dynamics and land-atmosphere interactions.