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Book Chapter

Constraining the uncertainties of volcano thermal anomaly monitoring using a Kalman filter technique

By
Klemen Zakšek
Klemen Zakšek
1
University of Hamburg, Institute of Geophysics, Bundesstraße 55, D-20146 Hamburg, Germany
2
Centre of Excellence Space-SI, Aškerčeva 12, SI-1000 Ljubljana, Slovenia
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Manoochehr Shirzaei
Manoochehr Shirzaei
3
Berkeley Seismological Laboratory, University of California, Berkeley, CA 94720, USA
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Matthias Hort
Matthias Hort
1
University of Hamburg, Institute of Geophysics, Bundesstraße 55, D-20146 Hamburg, Germany
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Published:
January 01, 2013

Abstract

The activity status of a volcano can be evaluated from the remotely measured radiant power (RP). The measured RP contains noise due to reasons such as atmospheric effects and instrument characteristics. Here we first show how to estimate the uncertainty of each single RP measurement. To additionally reduce the temporal noise of the RP time series we apply a Kalman filter. The Kalman filter is able to recursively analyse an unevenly sampled time series. To validate our filtering scheme, we applied it to an eruption of Etna in 2002, as well as to the eruption of Nyamuragira in 2010. In the case of the Etna eruption, the denoised time series agrees well with in situ observations of a waxing and waning flow. For the case of Nyamuragira, the enhanced time series of RP shows more fluctuation probably due to cloud coverage. Thus, we propose a multiple instrument approach that increases the temporal resolution of the RP time series and reduces the associated noise.

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Contents

Geological Society, London, Special Publications

Remote Sensing of Volcanoes and Volcanic Processes: Integrating Observation and Modelling

D. M. Pyle
D. M. Pyle
University of Oxford, UK
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T. A. Mather
T. A. Mather
University of Oxford, UK
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J. Biggs
J. Biggs
University of Bristol, UK
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Geological Society of London
Volume
380
ISBN electronic:
9781862396456
Publication date:
January 01, 2013

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