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Systematic Review

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

by
Cherene de Bruyn
1,2,*,
Komang Ralebitso-Senior
1,2,
Kirstie Scott
1,3,
Heather Panter
1,4 and
Frederic Bezombes
1,5,*
1
Forensic Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UK
2
School of Pharmacy and Biomolecular Science, Faculty of Health, Innovation, Technology and Science, Liverpool John Moores University, Liverpool L3 3AF, UK
3
School of Biological and Environmental Science, Faculty of Health, Innovation, Technology and Science, Liverpool John Moores University, Liverpool L3 3AF, UK
4
School of Justice Studies, Faculty of Society and Culture, Liverpool John Moores University, Liverpool L3 3AF, UK
5
General Engineering Research Institute, Faculty of Health, Innovation, Technology and Science, Liverpool John Moores University, Liverpool L3 3AF, UK
*
Authors to whom correspondence should be addressed.
Drones 2025, 9(10), 674; https://doi.org/10.3390/drones9100674
Submission received: 12 August 2025 / Revised: 16 September 2025 / Accepted: 23 September 2025 / Published: 26 September 2025

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.
Keywords: unmanned aerial vehicle; UAV; drones; clandestine graves; detection; forensic investigations; computer vision; post-burial interval; post-translocation interval unmanned aerial vehicle; UAV; drones; clandestine graves; detection; forensic investigations; computer vision; post-burial interval; post-translocation interval

Share and Cite

MDPI and ACS Style

de Bruyn, C.; Ralebitso-Senior, K.; Scott, K.; Panter, H.; Bezombes, F. Search, Detect, Recover: A Systematic Review of UAV-Based Remote Sensing Approaches for the Location of Human Remains and Clandestine Graves. Drones 2025, 9, 674. https://doi.org/10.3390/drones9100674

AMA Style

de Bruyn C, Ralebitso-Senior K, Scott K, Panter H, Bezombes F. Search, Detect, Recover: A Systematic Review of UAV-Based Remote Sensing Approaches for the Location of Human Remains and Clandestine Graves. Drones. 2025; 9(10):674. https://doi.org/10.3390/drones9100674

Chicago/Turabian Style

de Bruyn, Cherene, Komang Ralebitso-Senior, Kirstie Scott, Heather Panter, and Frederic Bezombes. 2025. "Search, Detect, Recover: A Systematic Review of UAV-Based Remote Sensing Approaches for the Location of Human Remains and Clandestine Graves" Drones 9, no. 10: 674. https://doi.org/10.3390/drones9100674

APA Style

de Bruyn, C., Ralebitso-Senior, K., Scott, K., Panter, H., & Bezombes, F. (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), 674. https://doi.org/10.3390/drones9100674

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