Analysing State of Polarization (SOP) Data for earthquakes monitoring
Section outline
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In this video, Kristina Skarvang Vaskinn demonstrates how State of Polarization (SOP) changes in optical fibers can be used for event detection, particularly earthquake monitoring, using both Full-Stokes and PBS-based polarimeters. She also provides real-world example of detecting an earthquake using SOP data.
Watch this video to discover that:- PBS systems show high sensitivity to earthquake signals, so even small changes in SOP provide valuable insights to detect environmental events like earthquakes;
- Stokes-based and
PBS-based methods align well when proper filters were applied, therefore:
- Filters are essential for separating different types of events;
- Integration of different sensing tools enhances signal clarity and detection robustness.
- Simple implementation makes SOP sensing scalable and globally viable.
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Content covered in the presentation
- State-of-Polarisation (SoP) definition [05:54]
- Measurement Methods
- Full-Stokes Polarimeter (e.g., PM1000) [07:17]
- PBS-based Polarimeter [10:10]
- Case
Study: Earthquake Detection [12:58]
- Analysing Earthquakes with Full-Stokes polarimeter [14:12]
- Analysing Earthquakes with PBS polarimeter [16:11]
- Data
Analysis Techniques
- Frequency & Time Analysis [19:02]
- Multiple events on the same cable [19:55]
- RMS Plots (Root Mean Square) [21:06]
- Answers to audience questions [27:50]