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 |
| 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: | 04.06.06. Surveys, measurements, and monitoring Annals of Geophysics
|
Files in This Item:
| File |
Size | Format | Visibility |
| Aliano.pdf | 1.22 MB | Adobe PDF | View/Open
|
|
This item is licensed under a Creative Commons License
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|