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Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index

In urban areas, industrial and human activities are the prime cause that exacerbates the heating effects, also called the urban heat island (UHI) effect. The land surface temperature (LST), normalized difference vegetation index (NDVI), and the proportion of vegetation (P(v)) are indicators of measu...

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Autores principales: Tewari, Apurba, Srivastava, Nishi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037383/
https://www.ncbi.nlm.nih.gov/pubmed/36961576
http://dx.doi.org/10.1007/s10661-023-11119-7
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author Tewari, Apurba
Srivastava, Nishi
author_facet Tewari, Apurba
Srivastava, Nishi
author_sort Tewari, Apurba
collection PubMed
description In urban areas, industrial and human activities are the prime cause that exacerbates the heating effects, also called the urban heat island (UHI) effect. The land surface temperature (LST), normalized difference vegetation index (NDVI), and the proportion of vegetation (P(v)) are indicators of measurement of the heating/urbanization effects. In the present work, we investigated the impact of the COVID-19 lockdown, i.e., restricted human activities. We used Landsat-8 OLI/TIRS (level 1) data to investigate spatial and temporal heterogeneity changes in these urbanization indicators during full and partial lockdown periods in 2020 and 2021, with 2019 as the base year. We have selected three cities in India’s eastern coal mining belt, Bokaro, Dhanbad, and Ranchi, for the study. Results showed a significant decrease in LST values over all sites, with a maximum reduction over mining sites, i.e., Bokaro and Dhanbad. The LST value decreased by about 13–19% during the lockdown period. Vegetation indices (i.e., NDVI and P(v)) showed a substantial increase of about 15% overall sites. With decreased LST values and increased NDVI values, these quantities’ correlations became more negative during the lockdown period. More positive changes are noticed over mining sites than non/less mining sites. This indirectly indicates the reduction in the heat-absorbing particles in the environment and surface of these sites, a possible cause for the reduction in LST values substantially. Reduction in coal particles at the land and vegetation surface likely contributed to decreased LST and enhanced vegetation indices. To check the statistical significance of changes in the UHI indicators in the lockdown period, statistical tests (ANOVA and Tukey’s test) are performed. Results indicate that most of the case changes have been significant. The study’s finding suggests the lockdown’s positive impact on the heating/UHI effects. It emphasizes the need for planned lockdowns as city mitigation strategies to overcome pollution and environmental issues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10661-023-11119-7.
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spelling pubmed-100373832023-03-24 Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index Tewari, Apurba Srivastava, Nishi Environ Monit Assess Article In urban areas, industrial and human activities are the prime cause that exacerbates the heating effects, also called the urban heat island (UHI) effect. The land surface temperature (LST), normalized difference vegetation index (NDVI), and the proportion of vegetation (P(v)) are indicators of measurement of the heating/urbanization effects. In the present work, we investigated the impact of the COVID-19 lockdown, i.e., restricted human activities. We used Landsat-8 OLI/TIRS (level 1) data to investigate spatial and temporal heterogeneity changes in these urbanization indicators during full and partial lockdown periods in 2020 and 2021, with 2019 as the base year. We have selected three cities in India’s eastern coal mining belt, Bokaro, Dhanbad, and Ranchi, for the study. Results showed a significant decrease in LST values over all sites, with a maximum reduction over mining sites, i.e., Bokaro and Dhanbad. The LST value decreased by about 13–19% during the lockdown period. Vegetation indices (i.e., NDVI and P(v)) showed a substantial increase of about 15% overall sites. With decreased LST values and increased NDVI values, these quantities’ correlations became more negative during the lockdown period. More positive changes are noticed over mining sites than non/less mining sites. This indirectly indicates the reduction in the heat-absorbing particles in the environment and surface of these sites, a possible cause for the reduction in LST values substantially. Reduction in coal particles at the land and vegetation surface likely contributed to decreased LST and enhanced vegetation indices. To check the statistical significance of changes in the UHI indicators in the lockdown period, statistical tests (ANOVA and Tukey’s test) are performed. Results indicate that most of the case changes have been significant. The study’s finding suggests the lockdown’s positive impact on the heating/UHI effects. It emphasizes the need for planned lockdowns as city mitigation strategies to overcome pollution and environmental issues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10661-023-11119-7. Springer International Publishing 2023-03-24 2023 /pmc/articles/PMC10037383/ /pubmed/36961576 http://dx.doi.org/10.1007/s10661-023-11119-7 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Tewari, Apurba
Srivastava, Nishi
Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index
title Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index
title_full Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index
title_fullStr Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index
title_full_unstemmed Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index
title_short Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index
title_sort impact of covid lockdowns on spatio-temporal variability in land surface temperature and vegetation index
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037383/
https://www.ncbi.nlm.nih.gov/pubmed/36961576
http://dx.doi.org/10.1007/s10661-023-11119-7
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