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Sofia Peleli
Institute of Physics of the Earth’s Interior & Geohazards, UNESCO Chair on Solid Earth Physics and Geohazards Risk Reduction Hellenic Mediterranean University Research Center, Chania, Crete, Greece

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Journal article
Published: 07 August 2021 in Bulletin of the Geological Society of Greece
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In recent years, there is a growing interest concerning the development of a multi-parametric system for earthquakes’ short term forecast identifying those parameters whose anomalous variations can be associated to the complex process of such events. In this context, the Robust Satellite Technique (RST) has been adopted herein with the aim to detect and map thermal anomalies probably related with the strong earthquake of M6.3 occurred near the city of Larissa, Thessaly on March 3rd 2021 10:16:07 UTC. For this purpose, 10 years (2012-2021) of daily Night-time Land Surface Temperature (LST) remotely sensed data from Moderate Resolution Imaging Spectroradiometer (MODIS), were analyzed. Pixels characterized by statistically significant LST variations on a daily scale were interpreted as an indicator of variations in seismic activity. Quite intense (Signal/Noise ratio > 2.5) and rare, spatially extensive and time persistent, TIR signal transients were identified, appearing twenty five days before the Thessaly main shock (pre-seismic anomalies: February 6th, February 11th March 1st), the day of the main earthquake (co-seismic anomaly) and after the main shock (post-seismic anomalies: March 4th, 10th and 17th). The final dataset of thermal anomalies was combined with geological and structural data of the area of interest, such as active faults, composite seismogenic sources, earthquake epicenter and topography in order to perform preliminary spatial analysis.

ACS Style

Maria Kouli; Sofia Peleli; Vassilis Saltas; John P Makris; Filippos Vallianatos. Robust Satellite Techniques for mapping thermal anomalies possibly related to seismic activity of March 2021, Thessaly Earthquakes. Bulletin of the Geological Society of Greece 2021, 58, 105 -130.

AMA Style

Maria Kouli, Sofia Peleli, Vassilis Saltas, John P Makris, Filippos Vallianatos. Robust Satellite Techniques for mapping thermal anomalies possibly related to seismic activity of March 2021, Thessaly Earthquakes. Bulletin of the Geological Society of Greece. 2021; 58 ():105-130.

Chicago/Turabian Style

Maria Kouli; Sofia Peleli; Vassilis Saltas; John P Makris; Filippos Vallianatos. 2021. "Robust Satellite Techniques for mapping thermal anomalies possibly related to seismic activity of March 2021, Thessaly Earthquakes." Bulletin of the Geological Society of Greece 58, no. : 105-130.

Journal article
Published: 17 April 2021 in Sensors
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Strong motion sensor networks deployed in metropolitan areas are able to provide valuable information for civil protection Decision Support Systems (DSSs) aiming to mitigate seismic risk and earthquake social-economic impact. To this direction, such a network is installed and real-time operated in Chania (Crete Island, Greece), city located in the vicinity of the seismically active south front of the Hellenic Subduction Zone. A blend of both traditional and advanced analysis techniques and interpretation methods of strong ground motion data are presented, studying indicative cases of Chania shaking due to earthquakes in the last couple years. The orientation independent spectral acceleration as well as the spatial distribution of the strong ground motion parameters such as the Peak Ground Acceleration (PGA), Peak Ground Velocity (PGV), Peak Ground Displacement (PGD) and Arias Ιntensity observed at the urban area of Chania are presented with the use of a Geographic Information System (GIS) environment. The results point to the importance of the strong ground motion networks as they can provide valuable information on earthquake hazards prior to and after detrimental seismic events to feed rapid systems supporting civil protection decisions for prevention and emergency response.

ACS Style

Georgios Chatzopoulos; Ilias Papadopoulos; Filippos Vallianatos; John Makris; Maria Kouli. Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems. Sensors 2021, 21, 2833 .

AMA Style

Georgios Chatzopoulos, Ilias Papadopoulos, Filippos Vallianatos, John Makris, Maria Kouli. Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems. Sensors. 2021; 21 (8):2833.

Chicago/Turabian Style

Georgios Chatzopoulos; Ilias Papadopoulos; Filippos Vallianatos; John Makris; Maria Kouli. 2021. "Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems." Sensors 21, no. 8: 2833.