Near-surface Imaging from Point-receiver Ambient Noise

We introduce a workflow that allows subsurface imaging using the upcoming body-wave arrivals extracted from ambient noise land seismic data. Rather than using the conventional seismic interferometry approach (based on correlation), we propose a gapped deconvolution technique to extract the earth response from the observed periodicity in the seismic traces. This technique consists of iteratively applying a gapped spiking deconvolution, providing sharper images, with higher resolution than conventional correlation. Our workflow is validated with simple synthetic data and real data recorded during a small point-receiver land seismic survey.