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.

Fisher information measure of temporal fluctuations in satellite advanced very high resolution radiometer (AVHRR) thermal signals recorded in the volcanic area of Etna (Italy)

Marchese F;Pergola N;Telesca L
2009

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.
2009
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Etna
satellite thermal signal
Fisher analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/48391
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