An Assessment of DInSAR Potential for Simulating Geological Subsurface Structure

Knowledge of the subsurface properties driving subsidence is of key importance in conducting geophysical surveys such as self-potential, magneto telluric, and reflection seismic, as this can help defining the areas with downward water flow, collapsed features at depth, or overburden affected regions. However, accurate and affordable subsurface information is difficult to obtain with currently available field technology, because changes occur on the time scale of years which means monitoring must be undertaken over extended time periods. Consequently, data are typically limited to borehole logs, well production data, seismic tests, or point subsidence measurements. As these data are laborious to collect, and spatially / temporally sparse, processing Synthetic Aperture Radar (SAR) remote sensing data can provide accurate surface deformation information, which is spatially and temporally dense, allowing to define areas susceptible to subsidence.