Thermal anomaly before earthquake and damage assessment using remote sensing data for 2014 Yutian earthquake

Yanmei Zhang; Haiying Huang; Zaisen Jiang; Ying Fang; Xiao Cheng

doi:10.1117/12.2070534

8 November 2014 Thermal anomaly before earthquake and damage assessment using remote sensing data for 2014 Yutian earthquake

Yanmei Zhang, Haiying Huang, Zaisen Jiang, Ying Fang, Xiao Cheng

Author Affiliations +

Proceedings Volume 9260, Land Surface Remote Sensing II; 92604D (2014) https://doi.org/10.1117/12.2070534
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China

Abstract

Thermal anomaly appears to be a significant precursor of some strong earthquakes. In this study, time series of MODIS Land Surface Temperature (LST) products from 2001 to 2014 are processed and analyzed to locate possible anomalies prior to the Yutian earthquake (12 February 2014, Xinjiang, CHINA). In order to reduce the seasonal or annual effects from the LST variations, also to avoid the rainy and cloudy weather in this area, a background mean of ten-day nighttime LST are derived using averaged MOD11A2 products from 2001 to 2012. Then the ten-day LST data from Jan 2014 to FebJanuary 2014 were differenced using the above background. Abnormal LST increase before the earthquake is quite obvious from the differential images, indicating that this method is useful in such area with high mountains and wide-area deserts. Also, in order to assess the damage to infrastructure, China’s latest civilian high-resolution remote sensing satellite – GF-1 remote sensed data are applied to the affected counties in this area. The damaged infrastructures and ground surface could be easily interpreted in the fused pan-chromatic and multi-spectral images integrating both texture and spectral information.

Citation Download Citation

Yanmei Zhang, Haiying Huang, Zaisen Jiang, Ying Fang, and Xiao Cheng "Thermal anomaly before earthquake and damage assessment using remote sensing data for 2014 Yutian earthquake", Proc. SPIE 9260, Land Surface Remote Sensing II, 92604D (8 November 2014); https://doi.org/10.1117/12.2070534

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