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Thermal Infrared Time Series Analysis for earthquake precursory detection

Khan, Nadira Aliyah (2010) Thermal Infrared Time Series Analysis for earthquake precursory detection.

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Abstract:Thermal remote sensing has been used to indicate temperature increases prior-to major earthquakes in the vicinity of the future epicentre. These studies compared results of multi-temporal datasets which spanned only for days to weeks before an earthquake. Even though these results are promising, the scope of those studies did not allow for longer observations and it is unclear whether the temperature rise is unique, persistent and indeed earthquake-related. The purpose of this exploratory study is to verify whether significant thermal infrared anomalies were found in association with known earthquakes by systematically applying satellite data time series analysis to multi-year time series. An innovative multi-temporal satellite data approach was developed to investigate possible relations between thermal infrared fluctuations and the earthquake occurrence. The significance of the developed methodology was explored using a six year (1999- 2004) Meteosat-5 satellite dataset of the Bam earthquake which was later applied to a year (2009) of MSG2 dataset for the recent L’Aquila earthquake. Analysis of long time series of thermal imagery provides answers to whether significant anomalies appear prior to an earthquake event and are periodic in nature. A significant earthquakerelated anomaly was detected for Bam’s earthquake. Unlike Bam, there was no earthquake-related anomaly occurring in L’Aquila.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/92530
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