Software Metapapers
An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis
Authors:
- Ross J. TurnerEmail Ross J. Turner
- Rebecca B. Latto
- Anya M. Reading
Abstract
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.
- Year: 2021
- Volume: 9 Issue: 1
- Page/Article: 29
- DOI: 10.5334/jors.365
- Submitted on 18 Jan 2021
- Accepted on 6 Oct 2021
- Published on 19 Oct 2021
- Peer Reviewed