Time domain analysis of robust satellite techniques (RST) for near real-time monitoring of active volcanoes and thermal precursor identification

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 multi-temporal 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.

[1]  G. Malvasi,et al.  A Robust Multitemporal Satellite Technique for Volcanic Activity Monitoring: Possible Impacts on Volcanic Hazard Mitigation , 2007, 2007 International Workshop on the Analysis of Multi-temporal Remote Sensing Images.

[2]  A. Harris,et al.  MODVOLC: near-real-time thermal monitoring of global volcanism , 2004 .

[3]  Teodosio Lacava,et al.  Improving volcanic ash cloud detection by a robust satellite technique , 2004 .

[4]  William I. Rose,et al.  Integrating retrievals of volcanic cloud characteristics from satellite remote sensors: a summary , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[5]  A. Harris,et al.  Automated volcanic eruption detection using MODIS , 2001 .

[6]  Michael J. Pavolonis,et al.  A Daytime Complement to the Reverse Absorption Technique for Improved Automated Detection of Volcanic Ash , 2006 .

[7]  Alfred J Prata,et al.  Observations of volcanic ash clouds in the 10-12 μm window using AVHRR/2 data , 1989 .

[8]  N. Pergola,et al.  Advanced satellite technique for volcanic activity monitoring and early warning , 2008 .

[9]  William I. Rose,et al.  Retrieval of sizes and total masses of particles in volcanic clouds using AVHRR bands 4 and 5 , 1994 .

[10]  Simon A. Carn,et al.  A satellite chronology of the May–June 2003 eruption of Anatahan volcano , 2005 .

[11]  M. Abrams,et al.  ASTER observations of thermal anomalies preceding the April 2003 eruption of Chikurachki volcano, Kurile Islands, Russia , 2005 .

[12]  Jonathan Dehn,et al.  Thermal precursors in satellite images of the 1999 eruption of Shishaldin Volcano , 2002 .

[13]  Peter J. Mouginis-Mark,et al.  Effects of viewing geometry on AVHRR observations of volcanic thermal anomalies , 1994 .

[14]  T. Casadevall,et al.  The 1989–1990 eruption of Redoubt Volcano, Alaska: impacts on aircraft operations , 1994 .

[15]  Valerio Tramutoli,et al.  Robust AVHRR techniques (RAT) for environmental monitoring: theory and applications , 1998, Remote Sensing.

[16]  K. Dean,et al.  First recorded eruption of Mount Belinda volcano (Montagu Island), South Sandwich Islands , 2005 .

[17]  Valerio Tramutoli,et al.  Automated detection of thermal features of active volcanoes by means of infrared AVHRR records , 2004 .

[18]  Donald W. Hillger,et al.  Improved detection of airborne volcanic ash using multispectral infrared satellite data , 2003 .

[19]  V. Tramutoli,et al.  AVHRR automated detection of volcanic clouds , 2005 .

[20]  A. Harris,et al.  Automated, high temporal resolution, thermal analysis of Kilauea volcano, Hawai'i, using GOES satellite data , 2001 .

[21]  Teodosio Lacava,et al.  Robust satellite techniques for volcanicand seismic hazards monitoring , 2004 .

[22]  Teodosio Lacava,et al.  Assessing RAT (Robust AVHRR Techniques) performances for volcanic ash cloud detection and monitoring in near real-time : The 2002 eruption of Mt. Etna (Italy) , 2007 .