Exploiting the crossterms of the virtual Rayleigh-wave Green tensor for surface-wave inversion

Surface-wave tomography from the correlations of ambient noise records has provided a powerful tool to investigate the Earth's subsurface with new surface-wave information. Exploration surveys can benefit from inversion of these virtual surface waves, as well. Most commonly, correlations are performed on the vertical components of the wavefields, but here we use the crossterms of multicomponent data and show virtual surface wave recordings are less sensitive to artifacts from signal not in-line with the two stations. We illustrate this with a subsection of the Coronation data set and the Batholiths temporary seismic deployment, showing estimates of the Rayleigh wave and the consequent phase-velocity dispersion curve.