Smart Decision Support Systems for Volcanic Applications
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 s...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/12/7/1216 |
| _version_ | 1811280940540887040 |
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| author | Claudia Corradino Gaetana Ganci Giuseppe Bilotta Annalisa Cappello Ciro Del Negro Luigi Fortuna |
| author_facet | Claudia Corradino Gaetana Ganci Giuseppe Bilotta Annalisa Cappello Ciro Del Negro Luigi Fortuna |
| author_sort | Claudia Corradino |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T01:23:38Z |
| format | Article |
| id | doaj.art-cf74a3a7651d426b8f5cb0cf04da3361 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T01:23:38Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-cf74a3a7651d426b8f5cb0cf04da33612022-12-22T03:08:41ZengMDPI AGEnergies1996-10732019-03-01127121610.3390/en12071216en12071216Smart Decision Support Systems for Volcanic ApplicationsClaudia Corradino0Gaetana Ganci1Giuseppe Bilotta2Annalisa Cappello3Ciro Del Negro4Luigi Fortuna5Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, 95125 Catania, ItalyDipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, 95125 Catania, ItalyThe 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.https://www.mdpi.com/1996-1073/12/7/1216remote sensingsmart systemvolcanic applications |
| spellingShingle | Claudia Corradino Gaetana Ganci Giuseppe Bilotta Annalisa Cappello Ciro Del Negro Luigi Fortuna Smart Decision Support Systems for Volcanic Applications Energies remote sensing smart system volcanic applications |
| title | Smart Decision Support Systems for Volcanic Applications |
| title_full | Smart Decision Support Systems for Volcanic Applications |
| title_fullStr | Smart Decision Support Systems for Volcanic Applications |
| title_full_unstemmed | Smart Decision Support Systems for Volcanic Applications |
| title_short | Smart Decision Support Systems for Volcanic Applications |
| title_sort | smart decision support systems for volcanic applications |
| topic | remote sensing smart system volcanic applications |
| url | https://www.mdpi.com/1996-1073/12/7/1216 |
| work_keys_str_mv | AT claudiacorradino smartdecisionsupportsystemsforvolcanicapplications AT gaetanaganci smartdecisionsupportsystemsforvolcanicapplications AT giuseppebilotta smartdecisionsupportsystemsforvolcanicapplications AT annalisacappello smartdecisionsupportsystemsforvolcanicapplications AT cirodelnegro smartdecisionsupportsystemsforvolcanicapplications AT luigifortuna smartdecisionsupportsystemsforvolcanicapplications |