Ground-Level NO₂ Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence

Jing Wei^*, Song Liu, Zhanqing Li, Cheng Liu, Kai Qin, Xiong Liu, Rachel T. Pinker, Russell R. Dickerson, Jintai Lin, K.F. Boersma, Lin Sun, Runze Li, Wenhao Xue, Yuanzheng Cui, Chengxin Zhang, Jun Wang

^*Corresponding author for this work

Air Quality
WIMEK

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ChinaHighNO2: Big Data Seamless 1 km Ground-level NO2 Dataset for China
Wei, J. (Creator), Liu, S. (Creator), Li, Z. (Creator), Liu, C. (Creator), Qin, K. (Creator), Liu, X. (Creator), Pinker, R. T. (Creator), Dickerson, R. R. (Creator), Lin, J. (Creator), Boersma, F. (Creator), Sun, L. (Creator), Li, R. (Creator), Xue, W. (Creator), Cui, Y. (Creator), Zhang, C. (Creator) & Wang, J. (Creator), 1 Mar 2021
DOI: 10.5281/zenodo.4571660
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Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence

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ChinaHighNO2: Big Data Seamless 1 km Ground-level NO2 Dataset for China

Ground-Level NO₂ Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence