http://www.cnr.it/ontology/cnr/individuo/prodotto/ID34982
Time domain analysis of robust satellite techniques (RST) for near real-time monitoring of active volcanoes and thermal precursor identification (Articolo in rivista)
- Type
- Label
- Time domain analysis of robust satellite techniques (RST) for near real-time monitoring of active volcanoes and thermal precursor identification (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.pce.2008.07.015 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pergola N; D'Angelo G; Lisi M; Marchese F; Mazzeo G; Tramutoli V (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Institute of Methodologies for Environmental Analysis, National Research Council, Contrada S. Loja, 85050 Tito Scalo, Potenza, Italy
Department of Engineering and Physics of the Environment, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy (literal)
- Titolo
- Time domain analysis of robust satellite techniques (RST) for near real-time monitoring of active volcanoes and thermal precursor identification (literal)
- Abstract
- Satellite remote sensing, thanks to several operational satellite platforms which provide data at a global
scale, with high observational frequencies and generally at low costs, represents a very important tool for
volcanic activity monitoring. Several methods and techniques have been proposed in order to study volcanic
activity from space, with different implications and impacts, according to the specific application.
An advanced satellite data analysis strategy, named robust satellite technique (RST), based on the multitemporal
analysis of satellite imagery, has been proposed and successfully applied for volcanic activity
monitoring. This approach has shown to be suitable in correctly identifying and monitoring both volcanic
ash clouds and thermal anomalies, with a high potential toward possible thermal precursors of impending
eruptions. In this paper, RST performances will be further assessed analysing a long-term time series
of advanced very high resolution radiometer data acquired before, during and after two eruptions of Italian
volcanoes, and evaluating RST capabilities both in validation and in confutation phases. (literal)
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