An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis
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 librar...
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ftjors:oai:ojs.openresearchsoftware.metajnl.com:article/365 2023-05-15T13:50:32+02:00 An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis Turner, Ross J. Latto, Rebecca B. Reading, Anya M. 2021-10-19 application/pdf application/xml https://openresearchsoftware.metajnl.com/jms/article/view/365 https://doi.org/10.5334/jors.365 eng eng Ubiquity Press https://openresearchsoftware.metajnl.com/jms/article/view/365/520 https://openresearchsoftware.metajnl.com/jms/article/view/365/521 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1387 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1388 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1389 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1390 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1391 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1620 10.5334/jors.365 https://openresearchsoftware.metajnl.com/jms/article/view/365 doi:10.5334/jors.365 Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). CC-BY Journal of Open Research Software; Vol 9, No 1 (2021); 29 2049-9647 geophysics physics Antarctic sciences seismology data processing reproducibility Python info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftjors https://doi.org/10.5334/jors.365 2022-01-30T07:57:46Z 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. Article in Journal/Newspaper Antarc* Antarctic Journal of Open Research Software (JORS) Antarctic Journal of Open Research Software 9 |
institution |
Open Polar |
collection |
Journal of Open Research Software (JORS) |
op_collection_id |
ftjors |
language |
English |
topic |
geophysics physics Antarctic sciences seismology data processing reproducibility Python |
spellingShingle |
geophysics physics Antarctic sciences seismology data processing reproducibility Python Turner, Ross J. Latto, Rebecca B. Reading, Anya M. An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis |
topic_facet |
geophysics physics Antarctic sciences seismology data processing reproducibility Python |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Turner, Ross J. Latto, Rebecca B. Reading, Anya M. |
author_facet |
Turner, Ross J. Latto, Rebecca B. Reading, Anya M. |
author_sort |
Turner, Ross J. |
title |
An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis |
title_short |
An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis |
title_full |
An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis |
title_fullStr |
An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis |
title_full_unstemmed |
An ObsPy Library for Event Detection and Seismic Attribute Calculation: Preparing Waveforms for Automated Analysis |
title_sort |
obspy library for event detection and seismic attribute calculation: preparing waveforms for automated analysis |
publisher |
Ubiquity Press |
publishDate |
2021 |
url |
https://openresearchsoftware.metajnl.com/jms/article/view/365 https://doi.org/10.5334/jors.365 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Journal of Open Research Software; Vol 9, No 1 (2021); 29 2049-9647 |
op_relation |
https://openresearchsoftware.metajnl.com/jms/article/view/365/520 https://openresearchsoftware.metajnl.com/jms/article/view/365/521 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1387 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1388 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1389 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1390 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1391 https://openresearchsoftware.metajnl.com/jms/article/downloadSuppFile/365/1620 10.5334/jors.365 https://openresearchsoftware.metajnl.com/jms/article/view/365 doi:10.5334/jors.365 |
op_rights |
Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5334/jors.365 |
container_title |
Journal of Open Research Software |
container_volume |
9 |
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1766253655873290240 |