Imaging subsurface scatterers across a dense geophone array in Long Beach using noise cross-correlation and natural inversion

We use surface-wave scattering in ambient-noise cross-correlations to image near-surface scatterers and major faults under the populated area of Long Beach, California under a dense geophone array. Images are computed using empirical Green's functions from ambient-noise cross-correlation, and therefore, we eliminate the need for prior velocity models and the costly modeling of surface-waves propagation. The scattered waves are inverted in the least-squares sense to map scatterers in the subsurface. Our results show a number of faults in the area including faults in the Newport-Inglewood fault zone (NIFZ).