2008
DOI: 10.1007/s11069-008-9306-7
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Lava flow simulations using discharge rates from thermal infrared satellite imagery during the 2006 Etna eruption

Abstract: Techniques capable of measuring lava discharge rates during an eruption are important for hazard prediction, warning, and mitigation. To this end, we developed an automated system that uses thermal infrared satellite MODIS data to estimate time-averaged discharge rate. MODIS-derived time-varying discharge rates were used to drive lava flow simulations calculated using the MAGFLOW cellular automata model, allowing us to simulate the discharge rate-dependent spread of lava as a function of time. During the July … Show more

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Cited by 65 publications
(28 citation statements)
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“…The growing number of these paroxysms inspired the development of a methodology for the nearreal-time forecasting of lava flow hazards (Vicari et al, 2009). The methodology, based on near-real-time infrared satellite data to drive numerical simulations of lava flow paths, was tested at Etna to evaluate the hazard of lava flows emitted during the 12-13 January 2011 lava fountain (Vicari et al, 2011).…”
Section: Increasing Volcanic Hazard?mentioning
confidence: 99%
“…The growing number of these paroxysms inspired the development of a methodology for the nearreal-time forecasting of lava flow hazards (Vicari et al, 2009). The methodology, based on near-real-time infrared satellite data to drive numerical simulations of lava flow paths, was tested at Etna to evaluate the hazard of lava flows emitted during the 12-13 January 2011 lava fountain (Vicari et al, 2011).…”
Section: Increasing Volcanic Hazard?mentioning
confidence: 99%
“…In step 6, the threshold is applied, this being: if ΔT diff for any pixel in the volcanic region exceeds the maximum encountered in the non-volcanic region, then the pixel is flagged as anomalous (Harris et al 1995;Higgins and Harris 1997). VAST was subsequently used by Vicari et al (2009) to locate hot spots in MODIS data during Etna's 2006 eruption and convert to time-average discharge rates to contribute to lava flow simulations.…”
Section: Volcanic Anomaly Softwarementioning
confidence: 99%
“…In addition, the wealth of data for effusive eruptions at Etna has made this location an excellent study site to test the performance of code designed to simulate lava flow emplacement. These have included the development and application of cellular automata models (e.g., Crisci et al 1986;Barca et al 1993;Del Negro et al 2005), including SCIARA (Crisci et al 2004) and MAGFLOW (Alexis et al 2009;Del Negro et al 2008;Vicari et al 2007Vicari et al , 2009). The LavaSIM code of Hidaka et al (2005) has also been applied to simulate Etna's 2001 lava flows by Proietti et al (2009).…”
Section: Study Site: Mt Etna and Lava Flow Hazardmentioning
confidence: 99%