Applications of Time‐Frequency Domain Polarization Filtering to InSight Seismic Data Article Swipe
Nienke Brinkman
,
David Sollberger
,
Cédric Schmelzbach
,
Simon C. Stähler
,
Johan O. A. Robertsson
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1029/2023ea003169
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1029/2023ea003169
The seismometer Seismic Experiment for Interior Structure (SEIS) onboard the InSight lander was used to continuously record the seismicity on Mars from February 2019 to December 2022. To maximize the information that can be extracted from the seismic data, it is critical to identify and to suppress undesired features (e.g., environmental noise, scattered waves, seismic imprint of lander vibrations) and non‐seismic noise (e.g., instrument related artifacts). We present an advanced polarization filtering workflow in the time‐frequency domain to suppress undesired features and to enhance the signal‐to‐noise ratio of the SEIS recordings. We estimate time‐frequency‐dependent polarization attributes such as the ellipticity, directionality of the particle motion, and the degree of polarization to identify and filter out undesired data parts. After filtering in the time‐frequency domain, the seismic data are transformed back to the time domain, yielding broadband waveform data that can be used for further seismological analysis. We illustrate the benefits of our filtering approach with three use cases. Firstly, we show how polarization filtered data can help to constrain the source mechanism of the sol 1,222 event, the largest marsquake detected so far. Using the proposed polarization filtering techniques, we are able to enhance the S‐wave arrival by suppressing interfering randomly polarized scattered waves to successfully infer on the moment tensor of this event. Secondly, we show that polarization filters can be used to suppress instrument‐related glitches and, thirdly, to remove the seismic imprint left by the vibrating lander (mechanical resonances of the lander).
Related Topics
Concepts
Seismometer
Polarization (electrochemistry)
Time domain
Seismology
Geology
Waveform
Broadband
Microseism
Frequency domain
Seismic moment
Acoustics
Seismic noise
Polarizing filter
Computer science
Physics
Radar
Optics
Optical filter
Telecommunications
Chemistry
Fault (geology)
Physical chemistry
Computer vision
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1029/2023ea003169
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2023EA003169
- OA Status
- gold
- Cited By
- 10
- References
- 53
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389068830
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389068830Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1029/2023ea003169Digital Object Identifier
- Title
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Applications of Time‐Frequency Domain Polarization Filtering to InSight Seismic DataWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
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2023-11-01Full publication date if available
- Authors
-
Nienke Brinkman, David Sollberger, Cédric Schmelzbach, Simon C. Stähler, Johan O. A. RobertssonList of authors in order
- Landing page
-
https://doi.org/10.1029/2023ea003169Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2023EA003169Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1029/2023EA003169Direct OA link when available
- Concepts
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Seismometer, Polarization (electrochemistry), Time domain, Seismology, Geology, Waveform, Broadband, Microseism, Frequency domain, Seismic moment, Acoustics, Seismic noise, Polarizing filter, Computer science, Physics, Radar, Optics, Optical filter, Telecommunications, Chemistry, Fault (geology), Physical chemistry, Computer visionTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
10Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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53Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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