This two-year, $255,000 Project Grant from the National Science Foundation's Geosciences program (CFDA 47.050) will support the development of a new remote sensing technique for measuring seismic waves at Michigan Technological University. The researchers will enhance the Moiré technique, which images patterns from differential motion between grids, by placing one grid on a remote location using an unmanned aerial vehicle and the other within a base telescope. This will enable measurement of minute ground displacements but is subject to signal degradation from atmospheric turbulence.
The researchers will develop pre- and post-processing techniques to reduce turbulence effects. Pre-processing will use active convolved illumination to systematically modify image spectra through dielectric metasurfaces, assessing performance reducing atmospheric turbulence via numerical simulations. Post-processing will apply deep learning and wavelet packet decomposition methods to acquired data to further enhance seismological measurement accuracy. If successful, the new remote sensing technique could improve understanding of volcanic processes by enabling seismic recording in otherwise inaccessible areas, directly benefiting society through improved volcanic eruption forecasting and hazard mitigation.
Generated 1/6/24, 7:48 PM