With this project, we propose to bring century-old analog seismic data and metadata compliant with modern standards by bridging two domains of expertise, namely seismology and machine learning.
The goal of the project is to develop methodologies to make pre-digital seismic (i.e. scanned seismogram images) data compliant with FAIR principles( Findability, Accessibility, Interoperability, and Reuse of digital assets) which are the core of modern community standards. This data and metadata, once discoverable and usable, are the only source of independent observations available to atmosphere-ocean-solid earth coupling modellers to study the ocean climate using the seismic waves they generate during the pre-satellite period.
The project is done in collaboration with the Royal Observatory of Belgium.
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Pr. Olivier DEBEIR email@example.com