Data di Pubblicazione:
2004
Abstract:
Several satellite techniques have been proposed to monitor events related to seismic and volcanic activity. A selfadaptive
approach (RAT, Robust AVHRR Techniques) has recently been proposed which seems able to recognise
space-time anomalies, differently related to such events, also in the presence of highly variable contributions
from atmospheric (transmittance), surface (emissivity and morphology) and observational (time/season,
but also solar and satellite zenithal angles) conditions. On the basis of NOAA-AVHRR data, the RAT aprroach
has already been applied to Mount Etna volcanic ash cloud monitoring in daytime, and to seismic area monitoring
in Southern Italy. This paper presents the theoretical basis for the extension of RAT approach also to nighttime
volcanic ash cloud detection, together with its possible implementation to lava flow monitoring. One example
of successful forecasting (few days before) of a new lava vent opening during the Mount Etna eruption of
July 2001 will be discussed in some detail. Progress on the use of the same approach on seismically active area
monitoring will be discussed by comparison with previous results achieved on the Irpinia-Basilicata earthquake
(MS = 6.9), which occurred on November 23rd 1980 in Southern Italy.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
lava flows; volcanic ash clouds; Irpinia; Basilicata earthquake; Robust AVHRR Techniques
Elenco autori:
Pietrapertosa, Carla; Pergola, Nicola; Piscitelli, Sabatino; Filizzola, Carolina; Lacava, Teodosio; Marchese, Francesco
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