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Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations

Ground penetrating radar (GPR) investigations have the potential to non-destructively detect buried or hidden targets and are therefore often used in forensic research. This study presents a particular application of GPR methods to search for a missing person in a specific subsurface environment: a...

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Detalles Bibliográficos
Autores principales: Barone, Pier Matteo, Di Maggio, Rosa Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6968642/
https://www.ncbi.nlm.nih.gov/pubmed/32002492
http://dx.doi.org/10.1080/20961790.2019.1675353
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author Barone, Pier Matteo
Di Maggio, Rosa Maria
author_facet Barone, Pier Matteo
Di Maggio, Rosa Maria
author_sort Barone, Pier Matteo
collection PubMed
description Ground penetrating radar (GPR) investigations have the potential to non-destructively detect buried or hidden targets and are therefore often used in forensic research. This study presents a particular application of GPR methods to search for a missing person in a specific subsurface environment: a natural cave. The search for missing people in Italy is a problematic and delicate task that needs improvement. Results of this study highlight not only the ability to detect both hollow and forensic targets, but also precisely locate and define their geometries. Moreover, GPR findings efficiently focus archaeological excavation and body recovery in an exact area and help to minimise time digging in erroneous places.
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spelling pubmed-69686422020-01-30 Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations Barone, Pier Matteo Di Maggio, Rosa Maria Forensic Sci Res Case Report Ground penetrating radar (GPR) investigations have the potential to non-destructively detect buried or hidden targets and are therefore often used in forensic research. This study presents a particular application of GPR methods to search for a missing person in a specific subsurface environment: a natural cave. The search for missing people in Italy is a problematic and delicate task that needs improvement. Results of this study highlight not only the ability to detect both hollow and forensic targets, but also precisely locate and define their geometries. Moreover, GPR findings efficiently focus archaeological excavation and body recovery in an exact area and help to minimise time digging in erroneous places. Taylor & Francis 2019-11-06 /pmc/articles/PMC6968642/ /pubmed/32002492 http://dx.doi.org/10.1080/20961790.2019.1675353 Text en © 2019 The Author(s). Published by Taylor & Francis Group on behalf of the Academy of Forensic Science. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Case Report
Barone, Pier Matteo
Di Maggio, Rosa Maria
Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations
title Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations
title_full Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations
title_fullStr Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations
title_full_unstemmed Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations
title_short Forensic geophysics: ground penetrating radar (GPR) techniques and missing persons investigations
title_sort forensic geophysics: ground penetrating radar (gpr) techniques and missing persons investigations
topic Case Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6968642/
https://www.ncbi.nlm.nih.gov/pubmed/32002492
http://dx.doi.org/10.1080/20961790.2019.1675353
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