Abstract: In response to the increasingly complex epidemic situation at home and abroad, this paper takes the Beijing epidemic in June 2020 as an example, use the day-by-day luminous data of NPP-VIIRS satellite to analyze the affected areas of the epidemic and the status of epidemic control and recovery, and to explore the relationship with social and economic factors such as population density. The research results show that day-by-day luminous remote sensing can effectively extract the area affected by the epidemic and reflect the degree of impact of the area. The extracted affected area is consistent with the medium and high risk areas designated by the country; At the same time, It can timely monitor the development of the epidemic and the status of epidemic prevention and control measures, the intensity of regional luminous has changed significantly with the progress of the epidemic and prevention and control; The average light loss and recovery intensity have a strong correlation with the regional population density during the outbreak period, and the correlation index R² is 0.97 and 0.91 respectively. The results of this study show that day-by-day luminous imaging has great potential in quickly extracting information on changes in the new crown pneumonia epidemic.

Key words: NPP-VIIRS DNB, nighttime light remote sensing, radiation normalization, light index, epidemic analysis