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Bangyu Ge is a leading figure in satellite-based atmospheric remote sensing, with a primary focus on aerosol retrieval and atmospheric correction. His work centers on developing and validating algorithms that extract critical atmospheric parameters, such as aerosol optical depth (AOD), from both geostationary and polar-orbiting satellite sensors. Ge’s most impactful contribution is the "Dark Target Method" for the Himawari-8 geostationary satellite, a seminal paper with 62 citations that enables high-temporal-resolution monitoring of aerosol dynamics. He has further advanced the field by pioneering an improved algorithm for retrieving high-resolution fine-mode aerosols from polarized satellite data (40 citations), significantly enhancing our ability to characterize aerosol types. Ge also played a key role in the on-orbit performance testing of China’s first polarimetric atmospheric corrector (SMAC) aboard the GFDM satellite, a notable achievement in national space technology. His recent work leverages neural networks for AOD retrieval from the Polarized Scanning Atmospheric Corrector (PSAC) data, demonstrating a forward-looking approach to machine learning in remote sensing. With a total citation count exceeding 130, Ge’s research is essential for improving satellite data accuracy, supporting climate studies, and enabling precise atmospheric correction for high-resolution imagery.