IASPEI - Picture Gallery

IUGG XXIV General Assembly July 2-13, 2007 Perugia, Italy
(S) - IASPEI - International Association of Seismology and Physics of the Earth's
Interior
JSS003 Oral Presentation 1872
Robust Satellite Techniques (RST) for early warnings in security
applications
Dr. Carolina Filizzola
IMAA CNR
Rosita Corrado, Antonio De La Cruz, Rossana Paciello, Nicola Pergola, Valerio
Tramutoli
RST technique is based on a preliminary multi-temporal analysis performed on several years (variable in
dependence of the availability of homogeneous historical data-set) of satellite records, which is devoted
to characterize the signal (in terms of its expected value and variation range) for each pixel of the
satellite image to be processed. On this basis, anomalous signal patterns are identified by using a local
change detection index, named ALICE (Absolutely Local Index of Change of Environment). RST was
initially applied to the prevision and NRT (Near Real Time) monitoring of major natural and
environmental hazards: seismically active areas, volcanic activity, hydrological risk as well as forest fires
and oil spills are the main fields of RST application. In all cases, the technique demonstrated how
meteorological satellites, which presently offer the highest time repetition (from few hours to few
minutes), despite their low spatial resolution, can be used to timely detect events interesting small
portions (< 100m2) of Earth surface. In this paper, RST algorithm has been applied for security
applications like accidents or sabotages along pipeline networks, exploiting the high temporal resolution
of SEVIRI (Spinning Enhanced Visible and Infrared Imager) sensor aboard Meteosat Second Generation
(MSG) platform. In particular, SEVIRI MIR (Medium Infra Red) signal has been used in order to timely
identify hot spots due to pipeline accidents or sabotages, as a possible real-time implementation for an
early warning system.
Keywords: multitemporal analysis, seviri, security