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  5. Robust TIR satellite techniques for monitoring earthquake active regions: limits, main achievements and perspectives
 
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Robust TIR satellite techniques for monitoring earthquake active regions: limits, main achievements and perspectives

Author(s)
Aliano, C.  
Dipartimento di Ingegneria e Fisica dell’Ambiente, Università degli Studi della Basilicata, Potenza, Italy  
Corrado, R.  
Dipartimento di Ingegneria e Fisica dell’Ambiente, Università degli Studi della Basilicata, Potenza, Italy  
Filizzola, C.  
Istituto di Metodologie per l’Analisi Ambientale (IMAA, CNR), Tito Scalo (PZ), Italy  
Genzano, N.  
Dipartimento di Ingegneria e Fisica dell’Ambiente, Università degli Studi della Basilicata, Potenza, Italy  
Pergola, N.  
Dipartimento di Ingegneria e Fisica dell’Ambiente, Università degli Studi della Basilicata, Potenza, Italy  
Tramutoli, V.  
Dipartimento di Ingegneria e Fisica dell’Ambiente, Università degli Studi della Basilicata, Potenza, Italy  
Date Issued
February 2008
Issue/vol(year)
1/51 (2008)
Language
English
Subjects
04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring  
URI
https://www.earth-prints.org/handle/2122/4993
Pages
303 - 317
Subjects

RST

Earthquake

satellite thermal inf...

Hector Mine

Izmit

GeoSTAR

Abstract
In the last few years, Robust Satellite data analysis Techniques (RST) have been proposed which significantly
improved present capabilities to investigate possible relations between TIR signal fluctuations and earthquake
occurrence. This paper, starting from a critical survey of results achieved by applying different RST-based algorithms
to different satellite sensors to approximately ten earthquakes (two of them are discussed here for the first
time) which occurred in three different continents, tries to offer a first assessment of main achievements, residual
limits and perspectives of such studies. Even if it is still not possible to relate (or to exclude) observed anomalous
TIR transients definitely to impending earthquakes, such studies demonstrate at least: a) the strong improvement
of S/N ratio achievable moving from polar to geostationary satellites; b) the further S/N improvement
achievable by using TIR sensors which also offer split-window possibilities; c) the crucial role played by a
space-time persistence test to select TIR anomalies candidate to be associated to impending earthquakes; d) the
possibility of identifying and correctly discarding TIR anomalies related to clouds and to image navigation errors;
e) the scarce importance of spatial resolution of observations which encourages the use of passive MW sensors
which are less affected by atmospheric conditions.
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