Papers
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About
Yuanlei Cheng is a remote sensing scientist whose work focuses on advancing aerosol retrieval techniques for urban environments. His primary research areas include high-resolution aerosol optical depth (AOD) mapping, satellite image processing, and atmospheric correction over complex urban surfaces. Cheng’s major contribution is the development of a novel aerosol retrieval algorithm specifically designed for Sentinel-2 imagery, which achieves an unprecedented 60-meter spatial resolution over cities—a significant improvement over traditional coarse-resolution products limited to kilometers or hundreds of meters. This breakthrough enables more precise monitoring of air pollution at the neighborhood scale, with direct applications for urban environmental management and public health studies. While his most-cited paper, published in 2022, has garnered 1 citation to date, the work represents an important step forward in operational high-resolution aerosol monitoring. Cheng’s research addresses a critical gap in satellite-based atmospheric science, offering a practical tool for studying aerosol dynamics in densely populated areas where pollution gradients are sharp and spatially heterogeneous.
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