Search, Detect, Recover: A Systematic Review of UAV-Based Remote Sensing Approaches for the Location of Human Remains and Clandestine Graves

de Bruyn, C ORCID: 0000-0002-2979-2289, Ralebitso-Senior, K ORCID: 0000-0002-2404-0993, Scott, KR, Panter, H ORCID: 0000-0002-1512-7085 and Bezombes, F ORCID: 0000-0002-5774-7995 (2025) Search, Detect, Recover: A Systematic Review of UAV-Based Remote Sensing Approaches for the Location of Human Remains and Clandestine Graves. Drones, 9 (10). p. 674. ISSN 2504-446X

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Abstract

Several approaches are currently being used by law enforcement to locate the remains of victims. Yet, traditional methods are invasive and time-consuming. Unmanned Aerial Vehicle (UAV)-based remote sensing has emerged as a potential tool to support the location of human remains and clandestine graves. While offering a non-invasive and low-cost alternative, UAV-based remote sensing needs to be tested and validated for forensic case work. To assess current knowledge, a systematic review of 19 peer-reviewed articles from four databases was conducted, focusing specifically on UAV-based remote sensing for human remains and clandestine grave location. The findings indicate that different sensors (colour, thermal, and multispectral cameras), were tested across a range of burial conditions and models (human and mammalian). While UAVs with imaging sensors can locate graves and decomposition-related anomalies, experimental designs from the reviewed studies lacked robustness in terms of replication and consistency across models. Trends also highlight the potential of automated detection of anomalies over manual inspection, potentially leading to improved predictive modelling. Overall, UAV-based remote sensing shows considerable promise for enhancing the efficiency of human remains and clandestine grave location, but methodological limitations must be addressed to ensure findings are relevant to real-world forensic cases.

Item Type:	Article
Uncontrolled Keywords:	4605 Data Management and Data Science; 46 Information and Computing Sciences; 40 Engineering; 46 Information and computing sciences
Subjects:	R Medicine > RA Public aspects of medicine > RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine T Technology > T Technology (General)
Divisions:	Biological and Environmental Sciences (from Sep 19) Engineering Law and Justice Studies Pharmacy and Biomolecular Sciences
Publisher:	MDPI
Date of acceptance:	23 September 2025
Date of first compliant Open Access:	6 November 2025
Date Deposited:	06 Nov 2025 10:37
Last Modified:	06 Nov 2025 10:45
DOI or ID number:	10.3390/drones9100674
URI:	https://researchonline.ljmu.ac.uk/id/eprint/27500

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