Time series analysis of Land Surface Temperatures in 20 earthquake cases worldwide

Two one-year-long datasets are constructed for every study area: one in a year with earthquakes and one in a year without. LST data are normalized based on the methodology described in Pavlidou et al., 2016.

Anomalies are detected when normalized values exceed a threshold. Numbers of anomalies are counted in four spatial zones laying at different distances from the earthquakes and in five temporal periods before, during and after the earthquake. Anomaly densities (number of anomalies per zone and per period) are statistically evaluated to see if there exist significant differences between years, periods and locations relative to the earthquakes.