Abstract
The paper has developed and proposed a statistical analysis method based on the Robust Satellite data analysis technique to detect seismic anomalies within the NOAA OLR dataset based on spatial/temporal continuity analysis. The proposed methods has been applied to statistical analyze about 3376 earthquake cases from September 01, 2007 to May 23, 2015. For statistical purposes, all these events have been divided into different types on the basis of the seismic parameters, including Southern or Northern Hemisphere earthquakes, earthquakes at different magnitude levels, earthquakes at different depth levels. The results show that the intensity of the anomalies increased with the magnitude increasing; anomalies are more easily observed during shallow earthquakes than the deep ones; more obvious anomalies could be detected for the earthquakes occurring in the Northern Hemisphere and the anomalies significant increases near the epicenter one day before and on the day of the earthquake. A similar anomaly shows that there are anomalies near the epicenters before earthquakes and the anomalies have some relation with the earthquake preparation on all seismic activity. All these statistical results can help create a better understanding of the preparation process of the earthquakes.
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