A review of predictive modelling and drone remote sensing technologies as a tool for detecting clandestine burials.

IF 2.2 3区 医学 Q1 MEDICINE, LEGAL Forensic science international Pub Date : 2025-01-15 DOI:10.1016/j.forsciint.2025.112375
Marissa Koopman, Quentin Milliet, Christophe Champod
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Abstract

The search for missing people is a complex and intensive undertaking. Predictive models (such as RAG mapping and geographic profiling) in combination with drone-mounted technologies can improve these searches by driving down time and monetary costs, gathering new types of data and reducing the need for investigators to expose themselves to dangerous environments. Promising technologies to discover traces of clandestine burials in the landscape are LiDAR, RGB photography, multispectral and hyperspectral imaging, as well as infrared/thermal photography. This review covers the existing literature on these techniques and discusses future opportunities and directions.

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预测建模和无人机遥感技术作为探测秘密埋葬工具的综述。
寻找失踪人员是一项复杂而密集的工作。预测模型(如RAG地图和地理剖面)与无人机技术相结合,可以减少时间和金钱成本,收集新类型的数据,减少调查人员暴露在危险环境中的需要,从而改善这些搜索。在景观中发现秘密埋葬痕迹的有前途的技术是激光雷达,RGB摄影,多光谱和高光谱成像,以及红外/热摄影。这篇综述涵盖了这些技术的现有文献,并讨论了未来的机会和方向。
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来源期刊
Forensic science international
Forensic science international 医学-医学:法
CiteScore
5.00
自引率
9.10%
发文量
285
审稿时长
49 days
期刊介绍: Forensic Science International is the flagship journal in the prestigious Forensic Science International family, publishing the most innovative, cutting-edge, and influential contributions across the forensic sciences. Fields include: forensic pathology and histochemistry, chemistry, biochemistry and toxicology, biology, serology, odontology, psychiatry, anthropology, digital forensics, the physical sciences, firearms, and document examination, as well as investigations of value to public health in its broadest sense, and the important marginal area where science and medicine interact with the law. The journal publishes: Case Reports Commentaries Letters to the Editor Original Research Papers (Regular Papers) Rapid Communications Review Articles Technical Notes.
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