4 citations · 4 across the 5 of their papers we have counts for
5 papers
MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events
Juliette Bertrand, Sophie Giffard-Roisin, James Hollingsworth +1
Dense ground displacement measurements are crucial for geological studies but are impractical to collect directly. Traditionally, displacement fields are estimated using patch matc…
A systematic search for tectonic tremor and low-frequency earthquakes in the Atacama segment of the Chilean subduction zone (24S-31S) turns up empty
Jannes Münchmeyer, William B. Frank, Sophie Giffard-Roisin +2
Subduction megathrusts release stress not only seismically through earthquakes, but also through creep and transient slow deformation, called slow slip events (SSEs). Understanding…
Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction
Giuseppe Costantino, Sophie Giffard-Roisin, Mauro Dalla Mura +1
Geospatial data has been transformative for the monitoring of the Earth, yet, as in the case of (geo)physical monitoring, the measurements can have variable spatial and temporal sa…
Deep learning detects uncataloged low-frequency earthquakes across regions
Jannes Münchmeyer, Sophie Giffard-Roisin, Marielle Malfante +4
Documenting the interplay between slow deformation and seismic ruptures is essential to understand the physics of earthquakes nucleation. However, slow deformation is often difficu…
Slow slip detection with deep learning in multi-station raw geodetic time series validated against tremors in Cascadia
Giuseppe Costantino, Sophie Giffard-Roisin, Mathilde Radiguet +3
Slow slip events (SSEs) originate from a slow slippage on faults that lasts from a few days to years. A systematic and complete mapping of SSEs is key to characterizing the slip sp…