Papers
1
Total Citations
15
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About
Jia Xing is a leading researcher in atmospheric remote sensing, with a focus on advancing high-resolution aerosol optical depth (AOD) retrieval methods over complex urban environments. Their most cited work, "Fusing Retrievals of High Resolution Aerosol Optical Depth from Landsat-8 and Sentinel-2 Observations over Urban Areas" (2021, 15 citations), addresses a critical gap in satellite-based air quality monitoring. Xing’s key contribution lies in developing fusion techniques that combine Landsat-8’s 30-meter spatial resolution with Sentinel-2’s broader coverage, overcoming the limitations of long revisit times and narrow swaths. This innovation enables more frequent and spatially detailed AOD observations, crucial for studying pollution dynamics in densely populated cities. By improving the temporal and spatial continuity of aerosol data, Xing’s work supports applications in urban climate modeling, public health research, and environmental policy. Their research is particularly impactful for regions where ground-based monitoring is sparse, offering a scalable solution for global air quality assessment. Xing’s achievements underscore their role in pushing the boundaries of satellite remote sensing, making them a key figure in the field of atmospheric science.
Research Focus
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Top Papers
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