Papers
4
Total Citations
71
H-Index
4
About
Dr. Lian Feng is a leading authority in satellite remote sensing of aquatic environments, with a primary focus on atmospheric correction (AC) methodologies for water color applications. Her major contributions center on improving the accuracy of satellite-derived data over inland and coastal waters—a notoriously challenging task due to complex aerosol conditions. Dr. Feng’s seminal 2020 work, which assessed Landsat AC methods using global AERONET-OC data (35 citations), provides a critical benchmark for the community. She further advanced the field by developing global gridded aerosol models specifically tailored for inland and nearshore waters (2023, 12 citations), directly addressing a key source of uncertainty in standard AC approaches. Her innovative use of deep learning to correct atmospheric effects under cloud edges for the Geostationary Ocean Color Imager (2023, 12 citations) represents a notable methodological breakthrough. Additionally, her assessment of MODIS aerosol optical depth products (2020, 12 citations) underscores her commitment to validating long-term satellite datasets. With a growing citation impact, Dr. Feng’s work is essential for researchers studying water quality, climate forcing, and ecosystem dynamics from space.
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