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.
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