Processing GPR Surveys in Civil Engineering to Locate Buried Structures in Highly Conductive Subsoils Mendoza, Rosendo Araque-Pérez, Carlos José Marinho, Bruna Rey, Javier Hidalgo, Mari Carmen Non-destructive survey Ground-penetrating radar Civil-engineering applications Many studies have illustrated the great benefit of ground-penetrating radar (GPR) in civil engineering. However, in some cases, this geophysical survey method does not produce the desired results due to the electromagnetic characteristics of the subsoil. This study presents the results obtained in two locations near Linares (southern Spain), evaluating the detection of structures buried in conductive host materials (0.02 S/m in site 1 and 0.015 S/m in site 2) characterized by strong signal attenuation. Accounting for the study depth, which was 1.5 m, a 500 MHz shielded GPR antenna was used at both sites. At the first site, a controlled experiment was planned, and it consisted of burying three linear elements. An iron pipe, a PVC pipe, and a series of precast blocks were buried at a depth of 0.5 m in a subsoil composed of highly conductive clayey facies. To eliminate additional multiples caused by other superficial structures and increasing the high-frequency content, the predictive deconvolution flow was applied. In the 3D processing, the cover surfaces technique was used. Once the acquired GPR signals was analyzed and the optimal processing flow established, a second site in which different infrastructures in a conductive host medium formed by marly facies was explored. The 2D flow and 3D processing applied in this work allows to detect and see the continuity of some structures not visible for the default processing. 2024-09-23T08:17:12Z 2024-09-23T08:17:12Z 2023-08-14 journal article Mendoza, R.; Araque-Perez, C.; Marinho, B.; Rey, J.; Hidalgo, M.C. Processing GPR Surveys in Civil Engineering to Locate Buried Structures in Highly Conductive Subsoils. Remote Sens. 2023, 15, 4019. https://doi.org/10.3390/rs15164019 https://hdl.handle.net/10481/94845 10.3390/rs15164019 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional MDPI