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The role of remote sensing during a global disaster: COVID-19 pandemic as case study
Remotely sensed imagery is used as a tool to aid decision makers and scientists in a variety of fields. A recent world event in which satellite imagery was extensively relied on by a variety of stakeholders was the COVID-19 pandemic. In this article we aim to give an overview of the types of informa...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212936/ https://www.ncbi.nlm.nih.gov/pubmed/35774725 http://dx.doi.org/10.1016/j.rsase.2022.100789 |
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author | Louw, Albertus S. Fu, Jinjin Raut, Aniket Zulhilmi, Azim Yao, Shuyu McAlinn, Miki Fujikawa, Akari Siddique, Muhammad Taimur Wang, Xiaoxiao Yu, Xinyue Mandvikar, Kaushik Avtar, Ram |
author_facet | Louw, Albertus S. Fu, Jinjin Raut, Aniket Zulhilmi, Azim Yao, Shuyu McAlinn, Miki Fujikawa, Akari Siddique, Muhammad Taimur Wang, Xiaoxiao Yu, Xinyue Mandvikar, Kaushik Avtar, Ram |
author_sort | Louw, Albertus S. |
collection | PubMed |
description | Remotely sensed imagery is used as a tool to aid decision makers and scientists in a variety of fields. A recent world event in which satellite imagery was extensively relied on by a variety of stakeholders was the COVID-19 pandemic. In this article we aim to give an overview of the types of information offered through remote sensing (RS) to help address different issues related to the pandemic. We also discuss about the stakeholders that benefited from the data, and the value added by its availability. The content is presented under four sub-sections; namely (1) the use of RS in real-time decision-making and strategic planning during the pandemic; how RS revealed the (2) environmental changes and (3) social and economic impacts caused by the pandemic. And (4) how RS informed our understanding of the epidemiology of SARS-CoV-2, the pathogen responsible for the pandemic. High resolution optical imagery offered updated on-the-ground data for e.g., humanitarian aid organizations, and informed operational decision making of shipping companies. Change in the intensity of air and water pollution after reduced anthropogenic activities around the world were captured by remote sensing – supplying concrete evidence that can help inform improved environmental policy. Several economic indicators were measured from satellite imagery, showing the spatiotemporal component of economic impacts caused by the global pandemic. Finally, satellite based meteorological data supported epidemiological studies of environmental disease determinants. The varied use of remote sensing during the COVID-19 pandemic affirms the value of this technology to society, especially in times of large-scale disasters. |
format | Online Article Text |
id | pubmed-9212936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92129362022-06-22 The role of remote sensing during a global disaster: COVID-19 pandemic as case study Louw, Albertus S. Fu, Jinjin Raut, Aniket Zulhilmi, Azim Yao, Shuyu McAlinn, Miki Fujikawa, Akari Siddique, Muhammad Taimur Wang, Xiaoxiao Yu, Xinyue Mandvikar, Kaushik Avtar, Ram Remote Sens Appl Article Remotely sensed imagery is used as a tool to aid decision makers and scientists in a variety of fields. A recent world event in which satellite imagery was extensively relied on by a variety of stakeholders was the COVID-19 pandemic. In this article we aim to give an overview of the types of information offered through remote sensing (RS) to help address different issues related to the pandemic. We also discuss about the stakeholders that benefited from the data, and the value added by its availability. The content is presented under four sub-sections; namely (1) the use of RS in real-time decision-making and strategic planning during the pandemic; how RS revealed the (2) environmental changes and (3) social and economic impacts caused by the pandemic. And (4) how RS informed our understanding of the epidemiology of SARS-CoV-2, the pathogen responsible for the pandemic. High resolution optical imagery offered updated on-the-ground data for e.g., humanitarian aid organizations, and informed operational decision making of shipping companies. Change in the intensity of air and water pollution after reduced anthropogenic activities around the world were captured by remote sensing – supplying concrete evidence that can help inform improved environmental policy. Several economic indicators were measured from satellite imagery, showing the spatiotemporal component of economic impacts caused by the global pandemic. Finally, satellite based meteorological data supported epidemiological studies of environmental disease determinants. The varied use of remote sensing during the COVID-19 pandemic affirms the value of this technology to society, especially in times of large-scale disasters. Elsevier B.V. 2022-08 2022-06-18 /pmc/articles/PMC9212936/ /pubmed/35774725 http://dx.doi.org/10.1016/j.rsase.2022.100789 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Louw, Albertus S. Fu, Jinjin Raut, Aniket Zulhilmi, Azim Yao, Shuyu McAlinn, Miki Fujikawa, Akari Siddique, Muhammad Taimur Wang, Xiaoxiao Yu, Xinyue Mandvikar, Kaushik Avtar, Ram The role of remote sensing during a global disaster: COVID-19 pandemic as case study |
title | The role of remote sensing during a global disaster: COVID-19 pandemic as case study |
title_full | The role of remote sensing during a global disaster: COVID-19 pandemic as case study |
title_fullStr | The role of remote sensing during a global disaster: COVID-19 pandemic as case study |
title_full_unstemmed | The role of remote sensing during a global disaster: COVID-19 pandemic as case study |
title_short | The role of remote sensing during a global disaster: COVID-19 pandemic as case study |
title_sort | role of remote sensing during a global disaster: covid-19 pandemic as case study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212936/ https://www.ncbi.nlm.nih.gov/pubmed/35774725 http://dx.doi.org/10.1016/j.rsase.2022.100789 |
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