Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China.
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%0 Journal Article
%1 journals/remotesensing/ZhangYZLML22
%A Zhang, Ninghui
%A Ye, Haipeng
%A Zheng, Ji
%A Leng, Xuejing
%A Meng, Dan
%A Li, Yu
%D 2022
%J Remote. Sens.
%K dblp
%N 4
%P 921
%T Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China.
%U http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#ZhangYZLML22
%V 14
@article{journals/remotesensing/ZhangYZLML22,
added-at = {2022-04-01T00:00:00.000+0200},
author = {Zhang, Ninghui and Ye, Haipeng and Zheng, Ji and Leng, Xuejing and Meng, Dan and Li, Yu},
biburl = {https://www.bibsonomy.org/bibtex/2956dfa5d9f659bac563fd35d15ca6353/dblp},
ee = {https://doi.org/10.3390/rs14040921},
interhash = {4c2e7343ae7807105df61d9c81109892},
intrahash = {956dfa5d9f659bac563fd35d15ca6353},
journal = {Remote. Sens.},
keywords = {dblp},
number = 4,
pages = 921,
timestamp = {2024-04-08T11:42:59.000+0200},
title = {Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China.},
url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing14.html#ZhangYZLML22},
volume = 14,
year = 2022
}
