Documenting Skeletal Scatters in Obstructed Wooded Environments Using Close-Range Photogrammetry

Morgan J. Ferrell, John J. Schultz

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Forensic scenes involving human skeletal remains in obstructed wooded environments are challenging to document. One potential solution is to document the scene in 3D utilizing close-range photogrammetry (CRP). This method enables the generation of realistic 3D models and accurate plan-view maps of the scene. The purpose of this research was to explore the use of CRP to preserve contextual information of simulated scenes involving scattered human remains in obstructed wooded environments. The main goal was to improve CRP methodology as well as demonstrate how to incorporate this method into the forensic archaeology documentation protocol. Two large skeletal scatters were documented to test the capabilities of CRP in an obstructed environment. Photographs were collected freehand and 3D models were processed using Agisoft Metashape Professional. Accuracy was assessed through visual analysis, root-mean square (RMS) reprojection errors, and total scale bar errors. While visual errors were present when zoomed in, the RMS reprojection and scale bar errors still indicated highly accurate models. However, the wooded environment presented numerous challenges that made utilizing CRP more difficult. Therefore, guidelines were outlined for documenting skeletal scatters in wooded environments using CRP, with a focus on addressing variables that can affect image quality. Overall, CRP is a viable method for documenting complex scenes in wooded environments which should be incorporated into forensic archaeological protocols.

Original languageEnglish
Pages (from-to)88-103
Number of pages16
JournalForensic Anthropology
Volume4
Issue number2
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021 University of Florida Press. All rights reserved.

Funding

The present research was derived from the first author\u2019s Master\u2019s thesis research. We would like to thank John Guziejka of UCF Landscape and Natural Resources for providing access and logistical assistance for use of the UCF Natural Lands. We also thank Dominique Langis-Barsetti for providing field and lab recommendations for improving photogrammetry model quality, and Caroline Jasiak for assistance with data collection. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We would also like to thank the anonymous reviewers for their thoughtful comments that improved this manuscript.

FundersFunder number
University of Central Florida

    ASJC Scopus subject areas

    • Anthropology

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