Assessment and improvement of a robust satellite technique (RST) for thermal monitoring of volcanoes

The RST approach (robust satellite technique) is a multi-temporal scheme of satellite data analysis already successfully used to monitor volcanoes at different geographic locations. In this work, the results of a long-term validation analysis of RST-based hot spot products are presented. This study...

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Bibliographic Details
Published in:Remote sensing of environment Vol. 115; no. 6; pp. 1556 - 1563
Main Authors: Marchese, F., Filizzola, C., Genzano, N., Mazzeo, G., Pergola, N., Tramutoli, V.
Format: Journal Article
Language:English
Published: New York, NY Elsevier Inc 15-06-2011
Elsevier
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Summary:The RST approach (robust satellite technique) is a multi-temporal scheme of satellite data analysis already successfully used to monitor volcanoes at different geographic locations. In this work, the results of a long-term validation analysis of RST-based hot spot products are presented. This study was performed processing fourteen years of NOAA-AVHRR (National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer) records acquired over Mt. Etna area between 1 January 1995 and 31 December 2008, at different overpass times (day/night), and analyzing hundreds of volcano bulletins reporting information on Mt. Etna eruptive activity, provided by visual observations and ground-based measurements. An optimized configuration of the RST approach, named RST VOLC, is also, for the first time, presented and discussed here. This method, thanks to a better tradeoff between reliability and sensitivity, may be particularly suitable to support operational systems for volcano monitoring and hazard mitigation. ► A new, RST-based technique (RST VOLC) for volcanic hot spot detection is presented. ► A long term validation analysis (14 years) of RST VOLC hot spot products is discussed. ► A comparison with standard RST approach is carried out. ► Improvements in tradeoff between reliability and sensitivity are evaluated. ► Advantages for pre-eruptive thermal anomaly identification are discussed.
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ISSN:0034-4257
1879-0704
DOI:10.1016/j.rse.2011.02.014