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The global outbreak of the COVID-19 pandemic has spread worldwide, affecting almost all countries and territories. Various social-economic and environmental factors influence the outbreak and spread of the epidemic. Many modern techniques have been widely employed to study the COVID-19 pandemic. This paper aims to give an overview of applications offered by remote sensing techniques to study the COVID-19 pandemic through summarising a total of 55 scientific papers. Three different issues related to the COVID-19 pandemic is presented under three sub-sections; namely (1) applications of remotely sensed images on monitoring environmental changes and (2) the analysis of social and economic impacts caused by the COVID-19 pandemic, and (3) the use of remote sensing in studies of the epidemiology of SARS-CoV-2. The findings of this study provide important insights into how to apply such an advanced techniques as remote sensing in the fight against the COVID-19 pandemic. The varied applications of remote sensing affirms the value of this advanced technique to the study of small-to-large scale disasters in general and of the COVID-19 pandemic in particular.

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The spread of the 2019 novel coronavirus disease (COVID-19) in Wuhan city, China, caused by the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spreads rapidly across the world and has negatively affected almost all countries. The Covid-19 pandemic has engulfed the world with a rapid, unexpected, and far-reaching global crisis. In the study of COVID-19 pandemic, spatial statistics have played an important role in many aspects, especially in the study of the clustering of COVID-19 pandemic. This paper summarises 24 scientific papers on applications of spatial statistics including the local Moran’s I and Getis-Ord’s statistics on studies of the COVID-19 pandemic in Vietnam. The findings of this study provide insight into not only how to apply spatial clustring in spatial statistics to analyze the clustering of the COVID-19 pandemic, but also preventing the COVID-19 spread across the world. Keywords: Applications, Spatial statistics, spatial clustering, local Moran’s I and Getis-Ord’s G statistics, the COVID-19 pandemic.