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Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India
Urban environment imposes challenges due to its dynamics and thermodynamic characteristics of the built environment. The present study aims to study the effect of lockdown during COVID-19 on the spatio-temporal land surface temperature (LST) patterns in Dehradun city. The TIRS sensor data of 14 Apri...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473830/ http://dx.doi.org/10.1007/s12524-020-01157-w |
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author | Maithani, Sandeep Nautiyal, Garima Sharma, Archana |
author_facet | Maithani, Sandeep Nautiyal, Garima Sharma, Archana |
author_sort | Maithani, Sandeep |
collection | PubMed |
description | Urban environment imposes challenges due to its dynamics and thermodynamic characteristics of the built environment. The present study aims to study the effect of lockdown during COVID-19 on the spatio-temporal land surface temperature (LST) patterns in Dehradun city. The TIRS sensor data of 14 April 2020 (post-lockdown), 28 April 2019, 25 April 2018 and 08 May 2017 were downloaded, and LST was retrieved using radiative transfer equation. The wardwise change in LST, urban hot spots and thermal comfort was studied as a function of built-up density. It was observed that there was an overall decrease in LST values in Dehradun city in post-COVID lockdown period. Wards with high built-up density had minimum decrease in LST; on the contrary, wards with large proportion of open spaces and having low, medium built-up density had the maximum decrease in LST. Hot spot analysis was carried out using Getis Ord GI* statistic, and the level of thermal comfort was found using the urban thermal field variance index. It was observed that there was an increase in number of hot spots accompanied by a decrease in thermal comfort level post-lockdown. The methodology proposed in the present study can be applied to other Indian cities which exhibit similar growth patterns and will provide a tool for rational decision making. |
format | Online Article Text |
id | pubmed-7473830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-74738302020-09-08 Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India Maithani, Sandeep Nautiyal, Garima Sharma, Archana J Indian Soc Remote Sens Research Article Urban environment imposes challenges due to its dynamics and thermodynamic characteristics of the built environment. The present study aims to study the effect of lockdown during COVID-19 on the spatio-temporal land surface temperature (LST) patterns in Dehradun city. The TIRS sensor data of 14 April 2020 (post-lockdown), 28 April 2019, 25 April 2018 and 08 May 2017 were downloaded, and LST was retrieved using radiative transfer equation. The wardwise change in LST, urban hot spots and thermal comfort was studied as a function of built-up density. It was observed that there was an overall decrease in LST values in Dehradun city in post-COVID lockdown period. Wards with high built-up density had minimum decrease in LST; on the contrary, wards with large proportion of open spaces and having low, medium built-up density had the maximum decrease in LST. Hot spot analysis was carried out using Getis Ord GI* statistic, and the level of thermal comfort was found using the urban thermal field variance index. It was observed that there was an increase in number of hot spots accompanied by a decrease in thermal comfort level post-lockdown. The methodology proposed in the present study can be applied to other Indian cities which exhibit similar growth patterns and will provide a tool for rational decision making. Springer India 2020-09-05 2020 /pmc/articles/PMC7473830/ http://dx.doi.org/10.1007/s12524-020-01157-w Text en © Indian Society of Remote Sensing 2020 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 | Research Article Maithani, Sandeep Nautiyal, Garima Sharma, Archana Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India |
title | Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India |
title_full | Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India |
title_fullStr | Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India |
title_full_unstemmed | Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India |
title_short | Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India |
title_sort | investigating the effect of lockdown during covid-19 on land surface temperature: study of dehradun city, india |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473830/ http://dx.doi.org/10.1007/s12524-020-01157-w |
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