Jiadan Dong
Papers
4
Total Citations
43
H-Index
4
About
Jiadan Dong is a leading researcher in satellite remote sensing of aerosols, with a focus on improving the accuracy and spatial resolution of aerosol optical depth (AOD) retrievals. Their work addresses critical gaps in atmospheric monitoring by developing innovative fusion techniques and high-resolution algorithms. Dong’s most impactful contribution is the development of a Bayesian Maximum Entropy method to fuse active and passive satellite data, significantly reducing data missing ratios in AOD products. This work, cited 19 times, has enabled more reliable studies of climate change and air quality. Dong also pioneered the first retrieval of daily 160-meter AOD over urban areas using Gaofen-1/6 synergistic observations, a breakthrough that provides unprecedented detail for urban environmental assessments (13 citations). Their research has been applied to analyze spatio-temporal AOD variations under the Russia-Ukraine war, demonstrating the societal relevance of their work. Additionally, Dong has investigated the impact of environmental pollution on hourly AOD retrieval accuracy from geostationary satellites, advancing real-time air quality monitoring. With over 40 total citations, Dong’s contributions are essential for improving satellite-based atmospheric monitoring and supporting public health and climate research.
Research Focus
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Top Papers
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