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
Fig. 5. Spatial distribution of NO2. (a) September 5, 2019; (b) September 16, 2019; (c) October 18, 2019
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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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Received: Jun. 4, 2021
Accepted: --
Published Online: Jul. 7, 2023
The Author Email: WU Haibin (whb62@163.com)