Smart Decision Support Systems for Volcanic Applications

Claudia Corradino, Gaetana Ganci, Giuseppe Bilotta, Annalisa Cappello, Ciro Del Negro and Luigi Fortuna
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Claudia Corradino: Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, Italy
Gaetana Ganci: Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, Italy
Giuseppe Bilotta: Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, Italy
Annalisa Cappello: Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, Italy
Ciro Del Negro: Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, Italy
Luigi Fortuna: Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, 95125 Catania, Italy

Energies, 2019, vol. 12, issue 7, 1-13

Abstract: The huge amount of information coming from remote sensors on satellites has allowed monitoring changes in the planetary environment from about 50 years. These instruments are widely adopted to observe extreme thermal events such as eruptive phenomena in volcanic areas. Although the availability of so many different infrared sensors makes these instruments suitable to observe different kind of thermal phenomena, choosing the right infrared sensor to monitor each thermal event is not straightforward. In fact, the decision should take into account both the main features of the phenomena under investigation, e.g., its size and temperatures, that are often not known a priori, and the instruments specifications, e.g., spatial resolution. Here, a smart decision support system (SDSS) is proposed to address this task. In particular, we used a SDSS to simulate remote sensors responses, collect data coming from three different classes of remote sensors, retrieve information about the main features of the observed thermal event and, consequently, select the most suitable infrared remote sensor for the specific observed phenomena. Results obtained for a real case of study at Etna volcano is shown.

Keywords: remote sensing; smart system; volcanic applications (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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