Dynamic assessment of the COVID-19 lockdown in the Xinjiang region using night-time light remote sensing

被引:4
作者
Jiang, Luguang [1 ,2 ]
Liu, Ye [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Xinjiang region; COVID-19; lockdown; night-time light remote sensing; spatiotemporal changes; comparative analysis; human activity intensity; MEGACITIES; SHANGHAI; IMAGES;
D O I
10.1080/17538947.2023.2300317
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
China used to have the world's most stringent prevention policies during the COVID-19 pandemic. The strict lockdown in Xinjiang region in 2022 was considered to be the longest in the process of COVID-19 pandemic prevention. Therefore, we examined the dynamic effects of the COVID-19 lockdown in Xinjiang region using night-time light data. The findings showed that before the outbreak of COVID-19, the night-time light in Xinjiang region still maintained a significant growth. However, after the lockdown of COVID-19 in August 2022, the night-time light showed a significant decrease, especially in August. Urumqi's night-time light decreased by at least 25% compared to the non-lockdown, while that in other major cities was between 5% and 15%. After the lockdown was lifted in November 2022, the night-time light in Urumqi increased by at least 50% compared to the lockdown, while that in other major cities was generally less than 30%. The regions where night-time light decreased in Urumqi were mainly within a radius of 40 km, whereas that in other cities were mainly concentrated within a radius of 6 km. The changes in statistical data and night-time light indicated that the economic activities in Xinjiang region were significantly affected by the COVID-19 lockdown.
引用
收藏
页数:21
相关论文
共 46 条
[41]   Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data [J].
Zhang, Qingling ;
Seto, Karen C. .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (09) :2320-2329
[42]   Associations between nighttime light and COVID-19 incidence and mortality in the United States [J].
Zhang, Yiming ;
Peng, Ningyezi ;
Yang, Shujuan ;
Jia, Peng .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 112
[43]   Illuminated border: Spatiotemporal analysis of COVID-19 pressure in the Sino-Burma border from the perspective of nighttime light [J].
Zhao, Fei ;
Zhang, Sujin ;
Zhang, Degang ;
Peng, Zhiyan ;
Zeng, Hongyun ;
Zhao, Zhifang ;
Jin, Wei ;
Shen, Wenyu ;
Liu, Wei .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 109
[44]   Assessment of the sustainable development of rural minority settlements based on multidimensional data and geographical detector method: A case study in Dehong, China [J].
Zhao, Fei ;
Zhang, Sujin ;
Du, Quanda ;
Ding, Jieyu ;
Luan, Guize ;
Xie, Zhiqiang .
SOCIO-ECONOMIC PLANNING SCIENCES, 2021, 78
[45]   Nighttime light remote sensing for urban applications: Progress, challenges, and prospects [J].
Zheng, Qiming ;
Seto, Karen C. ;
Zhou, Yuyu ;
You, Shixue ;
Weng, Qihao .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2023, 202 :125-141
[46]   Characterizing urban land changes of 30 global megacities using nighttime light time series stacks [J].
Zheng, Qiming ;
Weng, Qihao ;
Wang, Ke .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 173 :10-23