A geophysical investigation for buried human remains after 8 years of burial involving the use of Electrical Resistivity Tomography (ERT) was carried out at Owo, Ondo State, Southwestern Nigeria. This study was aimed at identifying the burial location of a corpse buried in a coffin about 8 years ago for exhumation and reburial in another location consequent upon litigations and controversies surrounding the land of the burial. The results obtained were used to generate 2D model and different resistivity maps which were able to identify suspected zone. Excavation of the suspected zone was carried out for the exhumed and relocation of the buried human remains. Electrical Resistivity has therefore been found useful in search for detecting human remains buried in a coffin with the key indicator being lower electrical resistivity relative to the surrounding area.

This study presents modeling of groundwater potential in a Typical Schist Belt Region in Osun State, Southwestern Nigeria using Electrical Resistivity, Aeromagnetic, Remotely sensed data, and Multi-Criteria Decision Analysis (MCDA). Filtered and enhanced Landsat 8 OLI satellite imagery and Aeromagnetic lineaments were superimposed on Landsat lineaments to generate lineament intersection, which was subjected to line density in the ArcGIS environment to produce lineament intersection density. Eighty (80) Vertical Electrical Soundings (VES) using Schlumberger configuration were acquired within the study location. The manually processed VES data were subjected to a computer modeling program (Window Resist Version 1.0) to improve the manually derived geoelectric parameters. The geoelectric parameters from the VES interpretation were used to determine the second-order parameters. Integration of Electrical Resistivity, Aeromagnetic dataset, and Remotely Sensed data was subjected to Multi-Criteria Decision Analysis (MCDA) using Analytical Hierarchy Process (AHP) to model the groundwater potential of the investigated area. The finding from the groundwater potential map showed that the southern and traces in the northeastern and northwestern regions are indicative of high groundwater potential zone, while the northeastern, southeastern, southern, southwestern, and northwestern parts indicate moderate groundwater potential zone. Low groundwater potential zone was found in the southeastern and southwestern regions of the study area. Also, very low groundwater potential zone dominates the study area in the northern, northeastern, southeastern, southern, southwestern, northwestern, and central regions, which simply means that the investigated region is generally low in terms of groundwater potential. Boreholes and static water level data across the study area were used to validate the accuracy of the groundwater potential map. The prediction accuracy obtained showed that the techniques used in this study are capable of producing reliable and accurate results.