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MISARA: Matlab Interface for Seismo-Acoustic aRray Analysis

Figure 1
Figure 1. Overview of Matlab Interface for Seismo-Acoustic aRray Analysis (MISARA). (a) Data preparation window for data preparation and formatting. (b) Home window, the main panel for management of all functionalities of MISARA. (c) Data pre-processing modules for data quality control. (d) Signal features modules provide access to data processing, including array, spectral, polarization, location, and detection analysis. (e) Array analysis modules for source location methods based on multi-channel techniques. The color version of this figure is available only in the electronic edition.

Minio V., L. Zuccarello, S. De Angelis, G. Di Grazia, and G. Saccorotti (2023).
Seismol. Res. Lett. XX, 1–14, https://doi.org/10.1785/0220220267


Volcanic activity produces a broad spectrum of seismic and acoustic signals whose characteristics provide important clues on the underlying magmatic processes. Networks and arrays of seismic and acoustic sensors are the backbone of most modern volcano monitoring programs. Investigation of the signals gathered by these instruments requires efficient workflows and specialist software. The high sampling rates, typically 50 Hz or greater, at which seismic and acoustic waveforms are recorded by multistation networks and dense arrays leads to the rapid accumulation of large volumes of data, making the implementation of efficient data analysis workflows for volcano surveillance a challenging task. Here, we present an open‐source MATLAB graphical user interface, MISARA (Matlab Interface for Seismo‐Acoustic aRray Analysis), designed to provide a user‐friendly workflow for the analysis of seismoacoustic data in volcanic environments. MISARA includes efficient algorithm implementations of well‐established techniques for seismic and acoustic data analysis. It is designed to support visualization, characterization, detection, and location of volcano seismoacoustic signals. Its intuitive, modular, structure facilitates rapid, semiautomated, inspection of data and results, thus reducing user effort. MISARA was tested using seismoacoustic data recorded at Etna Volcano (Italy) in 2010, 2011, and 2019, and is intended for use in education and research, and to support routine data analysis at volcano observatories.