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EADET - earthquake detection in DAS fibre-optic data using object-detection deep learning

This project presents the first demonstration of the transferability of a convolutional neural network (ConvNet) trained to detect micro-seismic earthquakes in one distributed acoustic sensing (DAS) fiber-optic data.

Dependencies

  • Python (>= 3.6, with development headers)
  • NumPy (>= 1.21.2)
  • PyTorch (>= 1.9.1)
  • xarray (>= 0.19.0)
  • Pyrocko (>= 2021.09.14)

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This repository is still a work in progress. Any feedback/suggestions are welcome.

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A Convolutional Neural Network (ConvNet) for earthquake detection in DAS fibre-optic data using PyTorch

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