Articles | Volume 12, issue 12
https://doi.org/10.5194/se-12-2717-2021
https://doi.org/10.5194/se-12-2717-2021
Research article
 | 
14 Dec 2021
Research article |  | 14 Dec 2021

Changepoint detection in seismic double-difference data: application of a trans-dimensional algorithm to data-space exploration

Nicola Piana Agostinetti and Giulia Sgattoni

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Cited articles

Bayes, T.: An essay towards solving a problem in the doctrine of chances, Philos. T. R. Soc. Lond., 53, 370–418, 1763. a
Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE T. Geosci. Remote, 40, 2375–2383, https://doi.org/10.1109/TGRS.2002.803792, 2002. a
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Caló, M. and Dorbath, C.: Different behaviours of the seismic velocity field at Soultz-sous-Forets revealed by 4-D seismic tomography: case study of GPK3 and GPK2 injection tests, Geophys. J. Int., 194, 1119–1137, https://doi.org/10.1093/gji/ggt153, 2013. a
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Short summary
One of the present-day challenges for geoscientists is tackling the big data revolution. An ever-growing amount of data needs to be processed and data are subjectively handled before using them to make inferences on the Earth’s interior. But imposing subjective decisions on the data might have strong influences on the final outputs. Here we present a totally novel and automatic application for screening the data and for defining data volumes that are consistent with physical hypotheses.
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