The role of remote sensing during a global disaster: COVID-19 pandemic as case study

Albertus S. Louw, Jinjin Fu, Aniket Raut, Azim Zulhilmi, Shuyu Yao, Miki McAlinn, Akari Fujikawa,Muhammad Taimur Siddique, Xiaoxiao Wang, Xinyue Yu, Kaushik Mandvikar,Ram Avtar

Remote Sensing Applications: Society and Environment(2022)

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Abstract
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.
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Key words
COVID-19,Remote sensing,Satellite imagery,Decision-making,Pollution,Epidemiology,Economy,Review
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