Non-Linear 3D Satellite Gravity Inversion for Depth to the Basement Estimation in a Mexican Semi-Arid Agricultural Region

In Mexico, agriculture in semi-arid regions is highly dependent on groundwater resources, where most of the aquifers’ characterization a pending task. particular, depth to basement unknown for Mexican territory. Hence, development and performance new techniques relief estimation imperative further hydrogeological studies. this paper, we present using non-linear gravimetric inversion employing satellite data. Gravity forward modeling was implemented both gravitational attraction due juxtapositioned blocks conjugate gradient least squares minimize objective function terms model. All took place under sparse system framework. We synthetic result SEG-Bishop model taken calibration purposes. Then, recollected gravity data from The Satellite Geodesy group SCRIPPS an unconfined aquifer northern-central region Zacatecas, Mexico. Both were recovered, consistent models cases presented, comparison with conventional linear density performed.