Abstract

Natural burials are interments where a body is buried without embalming fluids or coffins. These burial grounds are ideal locations for retrospective multispectral analysis of non-conventional single burials as the age and location of each grave is documented. The detection of disturbed soil under the influence of human decomposition has been well-studied, but lacks the temporal component needed for characterising simulated clandestine burials. A critical gap in the literature is how these burials re-vegetate and to what extent soil profiles re-establish over years or decades. Multispectral drone data from three natural burial sites in southern U.K. are documented here, with trends in re-vegetation from bare soil to full recovery in graves as old as 2005. As with many burial detection techniques, environmental influence is a limiting variable to universal use of this method. However, we suggest a timeline over which single burial sites in this location reach detection limits and possible reasons for variations in these limits.

Highlights

  • As drone technology advanced, sensors previously relegated to satellites or aircraft became accessible at a much lower altitude, image resolution increased drastically [4,5], and single grave burials became the subject of research

  • This study focuses on multispectral data taken at three anonymised natural burial grounds in the UK with interments ranging from 2005–2021

  • Further work is needed in different climates, soils, seasons, and burial depths, as these are all critical variables in how human decomposition interacts with soil and influences vegetation growth

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Summary

Introduction

As early as 2002, a retrospective study of a mass grave in Guatemala was detected by the ASTER satellite using multispectral data at 15 m/pixel resolution [1]. Kalacska and Bell [2] simulated a Guatemalan mass grave using multiple larger-scale cattle burials (5 m × 5 m), which successfully identified against surrounding vegetation by airborne hyperspectral data at a resolution of 3–4 m/pixel. Single burials could only be detected using sensors mounted to aircraft, such as in Leblanc et al [3]. As drone ( known as Unmanned Aerial Vehicles or UAV’s) technology advanced, sensors previously relegated to satellites or aircraft became accessible at a much lower altitude, image resolution increased drastically [4,5], and single grave burials became the subject of research

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