Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 2, 181(2023)

Deep learning architecture based on satellite remote sensing data for estimating ground-level NO2 across Beijing-Tianjin-Hebei Region

FAN Xuanshuo1... WU Haibin2,*, CHEN Xinbing2 and SONG Wei2 |Show fewer author(s)
Author Affiliations
  • 1Institute of Material Science and Information Technology, Anhui University, Hefei 230601, China
  • 2School of Physics and Material Science, Anhui University, Hefei 230601, China
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    Xuanshuo FAN, Haibin WU, Xinbing CHEN, Wei SONG. Deep learning architecture based on satellite remote sensing data for estimating ground-level NO2 across Beijing-Tianjin-Hebei Region[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(2): 181

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    Paper Information

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    Received: Jun. 4, 2021

    Accepted: --

    Published Online: Jul. 7, 2023

    The Author Email: WU Haibin (whb62@163.com)

    DOI:10.3969/j.issn.1673-6141.2023.02.009

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