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A tool for Swarm satellite data analysis and anomaly detection.

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Area of Science:

  • Geophysics
  • Space Science
  • Seismology

Background:

  • Earth's electromagnetic field can exhibit anomalies preceding seismic events.
  • Satellite data, such as from the Swarm mission, offers a global perspective on these fields.
  • Analyzing complex electromagnetic data for subtle precursor signals is challenging.

Purpose of the Study:

  • To introduce a streamlined system pipeline for analyzing Earth's electromagnetic field data.
  • To investigate the relationship between electromagnetic anomalies and earthquake precursors.
  • To demonstrate the utility of the Swarm satellite data for this analysis.

Main Methods:

  • A three-stage pipeline: data extraction, data pre-processing, and anomaly detection.
  • Utilizing Swarm satellite data for regional electromagnetic field analysis.
  • Implementing multiple pre-processing techniques to handle data sparsity and artificial anomalies.

Main Results:

  • The developed system successfully processes and analyzes electromagnetic data.
  • A case study on the 2014 Ludian earthquake highlights the system's potential.
  • Identified critical issues related to satellite data quality and processing.

Conclusions:

  • The proposed pipeline offers a robust method for analyzing electromagnetic precursors to earthquakes.
  • Swarm satellite data is valuable for seismic precursor research, despite identified challenges.
  • Further refinement of satellite data processing is crucial for accurate anomaly detection.