| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 756164 | Communications in Nonlinear Science and Numerical Simulation | 2009 | 8 Pages | 
Abstract
												The time dynamics of long-term time series of satellite thermal signal, measured at Mount Etna, has been investigated. The signal has been analyzed by means of a recently proposed multi-temporal and robust technique (RST), which has already shown to be better capable to detect and monitor volcanic hotspots, compared to traditional satellite approaches. The temporal fluctuations of the thermal signal detected by RST over a long series (1995-2006) of advanced very high resolution radiometer (AVHRR) satellite data, have been investigated by means of the Fisher information measure, which is a powerful tool to investigate complex and nonstationary signals. The preliminary obtained results indicate that the proposed nonlinear approach can be used to dynamically characterize the volcanic phenomena and to recognize possible pre-eruptive temporal patterns.
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											Authors
												Michele Lovallo, Francesco Marchese, Nicola Pergola, Luciano Telesca, 
											