Survey and Insights into Unmanned Aerial-Vehicle-Based Detection and Documentation of Clandestine Graves and Human Remains
Bibliographic Data
| ID | 6068502 |
|---|---|
| Authors | Bryce Murray (0000-0001-5581-4165, University of Missouri, corresponding author), Bryce W Murray (Mississippi State University), Bryce Murray Bryce Murray, Derek T Anderson (0000-0001-8159-8806, University of Missouri), Derek T Anderson Derek T Anderson, Daniel J Wescott (0000-0002-4536-8525, Texas State University, corresponding author), Daniel J Wescott Daniel J Wescott, Robert Moorhead (0000-0002-4642-7873, Mississippi State University), Robert Moorhead Robert Moorhead, Melissa F Anderson, Melissa Anderson (0009-0007-9664-5928, University of Missouri), Melissa F Anderson Melissa F Anderson |
| Year | 2018 |
| Publication date | 2018-09-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Human Biology (JOURNAL) |
| Journal identifiers | ISSN: 0018-7143 • E-ISSN: 1534-6617 |
| Publisher | Project MUSE (PUBLISHER • US) |
| DOI | 10.1353/hub.2017.0045 |
| PMID | 30387383 |
| OpenAlex | W2888491483, W4297143765 |
| Language | EN |
| Citations received | 5 |
| References cited | 7 |
Numerous biological and archaeological studies have demonstrated the legitimacy of remote sensing in anthropology. This article focuses on detecting and documenting terrestrial clandestine graves and surface remains (CGSR) of humans using unmanned aerial vehicles (UAVs), sensors, and automatic processing algorithms. CGSR is a problem of complex decision making under uncertainty that requires the identifijication and intelligent reasoning about direct evidence of human remains and their environmental fijingerprints. As such, it is as much an engineering and geospatial problem as it is an anthropology problem. This article is an efffort to survey existing work across disciplines and to provide insights and recommendations to assist future research. To support our claims, preliminary experiments were performed at the Forensic Anthropological Research Facility at Texas State University using UAVs, hyperspectral imaging, thermal imaging, and structure from motion. Prior work, our experience, and preliminary results indicate that both great potential and extreme challenges face remote sensing of CGSR
Aerial Survey · Archaeology · Citizen science · Data science · Documentation · Geography · Geomatics · Geospatial analysis · Hyperspectral imaging · Identification (biology · Legitimacy · Political science · Remote sensing · Archaeological Research and Protection · Archaeology and ancient environmental studies · Computer Science · Ecology · Forensic Anthropology and Bioarchaeology Studies · Law
| Citations per year | 0.63 |
|---|---|
| Citation span | 2018 - 2025 (8) |
| Highly cited | No |