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FEASIBILITY OF THERMAL ANOMALIES DETECTION FOR SMALL EARTHQUAKE

Assoc. Prof. Dr. Pisanu Wongpornchai, Dr. Chanida Suwanprasit

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s08.114View metrics

Abstract

Thermal anomaly is one of the earthquake precursor in earthquake preparatory phase. Remote sensing in thermal region has been employed recently based on the concept of stress accumulation in the active plate tectonics region, which may be transformed as temperature variation prior event. MODIS Land Surface Temperature (LST) has been commonly used to locate thermal anomalies before earthquake. Recently research has been focusing on moderate or large magnitude earthquake events. In Thailand, even though small earthquake (< 5M) can be affected unprepared area. This study, daily day and night time of MODIS MOD11A1 product for 15 days before and after the Phan M4.4 earthquake on 17th November 2006 were processed and analyzed to locate possibility of thermal anomalies. Average LST before and after events were used for removing background temperature in the area and comparative method was used to detect thermal anomalies. The result found maximum temperature after removed background temperature was 5.36 ?C which occurred 3-5 days prior the quake. Therefore, it may have concluded that small earthquake may release energy which can be detected as thermal anomaly. Nevertheless, thermal precursors should be discovered to understand mechanism of earthquake precursor further.

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Publication details

Title
FEASIBILITY OF THERMAL ANOMALIES DETECTION FOR SMALL EARTHQUAKE
Authors
Assoc. Prof. Dr. Pisanu Wongpornchai, Dr. Chanida Suwanprasit
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
903-912
SWS Citekey
Wongpornchai20178903912
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
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