Abstract: A system for interpreting electrical resistivity tomography (ERT) survey data and method of use is provided. The system analyzes resistivity data and associated test parameter matrices and interpretation matrices as input to a convolutional and an artificial neural network in order to determine whether or not a set of subsurface characteristics are present.

Abstract: A method for a multichannel geophysical data acquisition system is provided in the field of electrical resistivity tomography. Individual and autonomous node operating systems are provided. Separate communication channels for upstream and downstream data transfer, high voltage transfer and synchronization signals are provided. The method provides for alternating node type assignments to change an array configuration without physically relocating nodes.

Abstract: The invention disclosed provides a network of master controller and node arrays which all communicate with a system server, a client device and an administrator device. Each of the master controller and node arrays is equipped with an ERT system, and various seismic sensors to monitor a geographic perimeter for surface and sub-surface trigger events. Upon detection of a trigger event, each of the master controller and node arrays executes a sensor monitoring routine to determine the approximate path of travel, velocity, acceleration of the trigger event. The master controller and node arrays further conduct an ERT survey to determine the presence of anomalies which may indicate sub-surface activity related to the trigger event.