Reproducibility-Based Field Validation of Complementary Subsurface Sensing Using a Quantum Diamond Magnetometer and Multi-Frequency Ground-Penetrating Radar

Underground infrastructure inspection requires sensing methods capable of characterizing both ferromagnetic and non-ferromagnetic subsurface features. This study evaluated a portable nitrogen-vacancy (NV) quantum diamond magnetometer (QDM) together with multi-frequency ground-penetrating radar (GPR; 250, 500, and 800 MHz) at a 90 m full-scale pavement test site containing documented subsurface targets. Repeated stationary QDM measurements were first conducted to characterize temporal variability and establish site-specific magnetic baselines, followed by a 1 m interval spatial survey and corresponding GPR measurements. The QDM showed reproducible spatial magnetic patterns despite substantial variability in reinforcement-dense sections, and all 10 cross-session measurements remained within ±1.5 standard deviations of their repeated-measurement baselines. Ferromagnetic targets produced localized magnetic responses, whereas post hoc classification using disturbance-normalized magnetic anomalies showed limited target-level discrimination (AUC = 0.495). GPR likewise showed limited post hoc target classification (500 MHz AUC = 0.472), but section-level radar responses differed significantly across pavement environments. The two modalities exhibited contrasting section-level responses while showing weak and inconsistent point-level correspondence. These results indicate that NV-diamond magnetometry and GPR provide complementary physical information, while repeated magnetic measurements are important for interpreting QDM observations under heterogeneous field conditions.

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Publication Details

Journal
Sensors
Published
2026-08-28
DOI
https://doi.org/10.3390/s26175439
Primary Topic
Geophysical Methods and Applications
Type
article
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article

Reproducibility-Based Field Validation of Complementary Subsurface Sensing Using a Quantum Diamond Magnetometer and Multi-Frequency Ground-Penetrating Radar

Byunghoon Choi, Chang-Geun Oh, Dong‐Hoon Shin
Sensors
Geophysical Methods and Applications
article

Reproducibility-Based Field Validation of Complementary Subsurface Sensing Using a Quantum Diamond Magnetometer and Multi-Frequency Ground-Penetrating Radar

Byunghoon Choi, Chang-Geun Oh, Dong‐Hoon Shin
article en

Abstract

Underground infrastructure inspection requires sensing methods capable of characterizing both ferromagnetic and non-ferromagnetic subsurface features. This study evaluated a portable nitrogen-vacancy (NV) quantum diamond magnetometer (QDM) together with multi-frequency ground-penetrating radar (GPR; 250, 500, and 800 MHz) at a 90 m full-scale pavement test site containing documented subsurface targets. Repeated stationary QDM measurements were first conducted to characterize temporal variability and establish site-specific magnetic baselines, followed by a 1 m interval spatial survey and corresponding GPR measurements. The QDM showed reproducible spatial magnetic patterns despite substantial variability in reinforcement-dense sections, and all 10 cross-session measurements remained within ±1.5 standard deviations of their repeated-measurement baselines. Ferromagnetic targets produced localized magnetic responses, whereas post hoc classification using disturbance-normalized magnetic anomalies showed limited target-level discrimination (AUC = 0.495). GPR likewise showed limited post hoc target classification (500 MHz AUC = 0.472), but section-level radar responses differed significantly across pavement environments. The two modalities exhibited contrasting section-level responses while showing weak and inconsistent point-level correspondence. These results indicate that NV-diamond magnetometry and GPR provide complementary physical information, while repeated magnetic measurements are important for interpreting QDM observations under heterogeneous field conditions.

SensorsVol. 26(17)
Hanseo University (KR), Kangwon National University (KR), Inha University (KR)
Openalex Percentile: Top 14%
Geophysical Methods and Applications
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