2022
DOI: 10.1016/j.displa.2022.102208
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A Review of Electrical Resistivity Tomography Applications in Underground Imaging and Object Detection

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Cited by 40 publications
(16 citation statements)
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“…Electrical resistivity tomography (ERT) is a widely utilized geophysical subsurface imaging technology that is frequently used in archaeological mapping, hydrological exploration, environmental research, and civil engineering ( Daily et al., 2004 ; Zhou and Kanl, 2018 ; Ducut et al., 2022 ). The conventional DC resistivity investigation was transformed into a computerized tomography technique, which makes use of multielectrode hardware or systems to automatically collect a lot of data and then uses software to recreate the subsurface resistivity structure using the observed data ( Loke, 1999 , 2004 ).…”
Section: Methodsmentioning
confidence: 99%
“…Electrical resistivity tomography (ERT) is a widely utilized geophysical subsurface imaging technology that is frequently used in archaeological mapping, hydrological exploration, environmental research, and civil engineering ( Daily et al., 2004 ; Zhou and Kanl, 2018 ; Ducut et al., 2022 ). The conventional DC resistivity investigation was transformed into a computerized tomography technique, which makes use of multielectrode hardware or systems to automatically collect a lot of data and then uses software to recreate the subsurface resistivity structure using the observed data ( Loke, 1999 , 2004 ).…”
Section: Methodsmentioning
confidence: 99%
“…However, this is not the case in, e.g. geophysical electrical resistivity tomography [16], where the injecting and measuring electrodes are separate. To overcome this limitation, let us define…”
Section: ) Operating Withmentioning
confidence: 99%
“…An ERT survey (GD-20, Geomative Ltd.) with 12 profile lines (length 100-300 m, electrode spacing 1-2 m) was conducted to collect the subsurface electrical resistivity (ER) data of Site A (Figure 1a). Wenner-Schlumberger array (Ducut et al, 2022) was used to measure the apparent ER for each of the 12 survey profiles, and the profiles with true ER values and depths were obtained by using the ER inversion procedure of the pyGIMLi software (Rucker et al, 2017). The 3D gridded ER data were obtained by interpolating the true resistivity profiles through IDW interpolation (Figure S5).…”
Section: Auxiliary Data and Covariate Developmentmentioning
confidence: 99%