Abstract: This paper uses the SEVIRI sensor data carried by the second-generation European meteorological satellite MSG to extract the three times thermal anomalies in Italy during the period from 2015 to 2017 based on the robust analysis technology of satellite data, and on this basis, increases a thermal anomaly judgment condition. Taking the high time resolution of the stationary meteorological satellite into consideration, this paper explores the correlation between thermal anomalies and earthquakes based on the characteristics of multi-temporal remote sensing data at night. The results show that the temporal and spatial changes of thermal anomalies in the study area can be displayed more clearly by the multi-temporal mean value of remote sensing data at night, and the improved determination conditions can effectively determine whether the thermal anomalies may be related to earthquakes. In addition, the studies on the temporal and spatial distribution of nighttime multi-temporal thermal anomalies indicate that the spread and disappearance of clouds may have an important impact on the extraction results of thermal anomalies.