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- W3202264668 endingPage "103388" @default.
- W3202264668 startingPage "103388" @default.
- W3202264668 abstract "Understanding the spatiotemporal patterns of the COVID-19 impact on industrial production could improve the estimation of the economic loss and sustainable work resumption policies in cities. In this study, assuming and checking a correlation between the land surface temperature (LST) and industrial production, we applied the BFAST algorithm and linear regression models on multi-temporal MODIS data to derive monthly time-series deviation of LST with a spatial resolution of 1 × 1 km, to quantificationally explore the fine-scale spatiotemporal patterns of the COVID-19 control measures impact on industrial production, within Wuhan city. The results demonstrate that (1) the trend of time-series LST could partly reflect the impact of the COVID-19 pandemic on industrial production, and the year-around industrial production was less than expectations, with a fall of 14.30%; (2) the most serious COVID-19 impact on industrial production appeared in Mar. and Apr., then, after the lifting of lockdown, some regions (approximate 4.90%) firstly returned to expected levels in Jun, and almost all regions (98.49%) have completed the resumption of work and production before Nov.; (3) the southwest and south-central had more serious impact of the COVID-19 pandemic, approximate twice as much as that in the north and suburban, in Wuhan. The results and findings elaborated the spatiotemporal distribution and their changes during 2020 within Wuhan, which could provide a beneficial support for assessment of the COVID-19 pandemic and implementation of resumption plans for sustainable development." @default.
- W3202264668 created "2021-10-11" @default.
- W3202264668 creator A5006651636 @default.
- W3202264668 creator A5017860864 @default.
- W3202264668 creator A5025788459 @default.
- W3202264668 creator A5026532995 @default.
- W3202264668 creator A5067441299 @default.
- W3202264668 creator A5088384743 @default.
- W3202264668 date "2021-12-01" @default.
- W3202264668 modified "2023-10-15" @default.
- W3202264668 title "Spatiotemporal patterns of the COVID-19 control measures impact on industrial production in Wuhan using time-series earth observation data" @default.
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- W3202264668 doi "https://doi.org/10.1016/j.scs.2021.103388" @default.