Comparison of GPR signals over simulated clandestine graves with domestic pigs (Sus Scrofa domesticus) and human remains

Author:

Armstrong Aidan1,Doro Kennedy O.2ORCID,Cristino Katrina1,Ribéreau‐Gayon Agathe3ORCID,Forbes Shari L.34,Wadsworth William T. D.5,Bank Carl‐Georg1ORCID

Affiliation:

1. Department of Earth Sciences University of Toronto Toronto Ontario Canada

2. Department of Environmental Sciences University of Toledo Toledo Ohio USA

3. Groupe de Recherche en Science Forensique Université du Québec à Trois‐Rivières Trois‐Rivières Québec Canada

4. Department of Chemistry and Biochemistry University of Windsor Windsor Ontario Canada

5. Institute of Prairie and Indigenous Archaeology/Department of Anthropology University of Alberta Edmonton Alberta Canada

Abstract

AbstractStudies assessing the use of ground‐penetrating radar (GPR) for locating unmarked human graves commonly use pigs as proxies, with recent concerns about the adequacy of pigs as substitutes for humans. Also, there is little agreement on how to identify and describe GPR signals associated with graves. Hence, this project's aim is to compare GPR signals acquired over simulated clandestine graves with pig and human remains. We established human, pig, and control graves at the REST[ES] human decomposition facility in May 2022 and monitored the graves over 17 months using a 250 MHz antenna GPR system. Our results showed the presence of perturbed and V‐shaped reflectors, diffraction hyperbolas, and reflectors with amplitude loss at depth between 0.6 and 0.75 m in the radargram for graves with human and pig remains. We corroborate recent studies which concluded that the use of proxies is a viable alternative to human cadavers. The observed radar signatures were classified into five key patterns, which are characteristic of similar data collected with 250 MHz above graves reported in the literature. These classes are: V‐shaped dipping reflections from grave walls (class A), small hyperbolic reflections superimposed onto a near‐linear reflector (class B), hyperbolic reflections from remains within the grave (class C), new high‐amplitude reflection patterns (class D) and significant loss or interruption of reflections (class E). Our proposed classification can help streamline future investigations where the goal is to interpret burials within large GPR datasets and provide language to communicate these results to the broader scientific community.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

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