An quantitative model for tectonic activity analysis and earthquake maginitude predication based on thermal infrared anomaly

The satellite TIR remote sensing has become a promising technique for monitoring tectonic activities and detecting earthquake precursors due to the advantages of large observation area and short observation period. In order to identify and to extract the TIR anomaly, several presented methods are tested and compared in this paper. The comparison results indicate that Robust AVHRR Technology (RAT) is a better method for detecting pre-earthquake thermal anomaly. Anyway RAT is not able to quantitatively analyze the TIR anomaly before shock. RAT method is hence improved for obtaining the value of area and average temperature of TIR anomaly. Based on the analysis of some tectonic earthquakes, an empirical quantitative model for tectonic activity analysis and earthquake magnitude predication is established.