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An ObsPy library for event detection and seismic attribute calculation: preparing waveforms for automated analysis

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posted on 2023-05-21, 05:54 authored by Ross TurnerRoss Turner, Rebecca Latto, Anya ReadingAnya Reading
We have implemented an extension for the observational seismology obspy software package to provide a streamlined tool tailored to the processing of seismic signals from non-earthquake sources, in particular those from deforming systems such as glaciers and landslides. This seismic attributes library provides functionality to: (1) download and/or pre-process seismic waveform data; (2) detect and catalogue seismic events using multi-component signals from one or more seismometers; and (3) calculate characteristics (‘attributes’/‘features’) of the identified events. The workflow is controlled by three main functions that have been tested for the breadth of data types expected from permanent and campaign-deployed seismic instrumentation. A selected STA/LTA-type (short-term average/long-term average), or other, event detection algorithm can be applied to the waveforms and user-defined functions implemented to calculate any required characteristics of the detected events. The code is written in Python 2/3 and is available on GitHub together with detailed documentation and worked examples.

History

Publication title

Journal of Open Research Software

Volume

9

Article number

29

Number

29

Pagination

1-9

ISSN

2049-9647

Department/School

School of Natural Sciences

Publisher

Ubiquity Press Ltd

Place of publication

United Kingdom

Rights statement

© 2021 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

Repository Status

  • Open

Socio-economic Objectives

Expanding knowledge in the earth sciences

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