Papers
5
Total Citations
86
H-Index
5
About
Jin Hong is a leading figure in satellite-based atmospheric remote sensing, specializing in the retrieval of aerosol optical properties and columnar water vapor from Chinese polarimetric satellite sensors. His major contributions center on developing and validating advanced inversion algorithms—most notably the application of the GRASP algorithm to the Directional Polarimetric Camera (DPC) and the creation of a generalized land surface reflectance reconstruction method for the Particulate Observing Scanning Polarimeter (POSP). These innovations enable more accurate aerosol optical depth (AOD) retrievals over complex land surfaces, directly supporting climate change research and regional air quality monitoring. Hong has also pioneered optimal estimation techniques for retrieving aerosol fine-mode fraction from ground-based sky light measurements, enhancing our understanding of anthropogenic versus natural aerosol contributions. With key papers accumulating 24, 19, and 18 citations, his work has been instrumental in the on-orbit performance testing of China’s first polarimetric atmospheric correctors aboard high-resolution satellites like GaoFen DuoMo and HJ-2 A/B. His research is essential for advancing quantitative atmospheric correction in satellite imagery, making him a vital contributor to China’s Earth observation capabilities.
Research Focus
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Top Papers
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