Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/4993
Authors: Aliano, C.* 
Corrado, R.* 
Filizzola, C.* 
Genzano, N.* 
Pergola, N.* 
Tramutoli, V.* 
Title: Robust TIR satellite techniques for monitoring earthquake active regions: limits, main achievements and perspectives
Issue Date: Feb-2008
Series/Report no.: 1/51 (2008)
URI: http://hdl.handle.net/2122/4993
Keywords: RST
Earthquake
satellite thermal infrared
Hector Mine
Izmit
GeoSTAR
Subject Classification04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring 
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.
Appears in Collections:Annals of Geophysics

Files in This Item:
File Description SizeFormat 
Aliano.pdf1.22 MBAdobe PDFView/Open
Show full item record

Page view(s)

1,535
Last Week
0
Last month
1
checked on Aug 16, 2018

Download(s)

511
checked on Aug 16, 2018

Google ScholarTM

Check