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148924 - An ObsPy library for event detection and seismic attribute calculation.pdf (1.58 MB)

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

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journal contribution
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.


Publication title

Journal of Open Research Software



Article number









School of Natural Sciences


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

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  • Open

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Expanding knowledge in the earth sciences

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