Preliminary results of UAV magnetic surveys for unexploded ordnance de-tection in Ukraine: effectiveness and challenges
DOI:
https://doi.org/10.24028/gj.v45i5.289117Keywords:
magnetic survey, UAV, unexploded ordnance, magnetic field anomaliesAbstract
Over the past decade, the development of unmanned aerial technologies has allowed them to be considered a tool for conducting remote Earth sensing research. The use of such systems is primarily associated with solving geological and archaeological tasks. However, the armed aggression by the Russian Federation contaminated Ukrainian territory at an unprecedented scale, including unexploded ordnance (UXO). It is necessary to check unmanned aerial vehicles (UAVs) can be used to address this issue. An efficient solution can significantly expedite the process of surveying areas for the presence of UXO, minimizing risks to lives and health.
The research was conducted at test sites using full-scale models as targets, as well as disarmed mines and other ordnance. Additionally, a magnetic survey was carried out in areas directly affected by combat operations. Overall, within the scope of this work, approximately 30 hectares of territory were surveyed under various shooting modes and conditions. As expected, a high detection rate is characteristic of target objects with a high ferrous metal content. Unfortunately, the widespread use of plastic ordnance with low iron content and the high density of craters blasts create non-target magnetic anomalies, affecting the overall detection. However, with proper planning and shooting modes, the task of detection is partially addressed. Our preliminary results allow us to draw initial conclusions about the effectiveness of the complex and identify issues that require resolution.
References
Butler, D.K. (2003). Implications of magnetic backgrounds for unexploded ordnance detection. Journal of Applied Geophysics, 54(1-2), 111—125. https://doi.org/10.1016/j.jappgeo.2003. 08. 022.
Cunningham, M., Samson, C., Laliberté, J., Goldie, M., Wood, A., & Birkett, D. (2021). Inversion of magnetic data acquired with a rotary-wing unmanned aircraft system for gold exploration. Pure and Applied Geophysics, 178, 501—516.https://doi.org/10.1007/s00024-021-02664-8.
Døssing, A., da Silva, E.L.S., Martelet, G., Rasmussen, T.M., Gloaguen, E., Petersen, J.T., & Linde, J. (2021). A high-speed, light-weight scalar magnetometer bird for km scale UAV magnetic surveying: On sensor choice, bird design, and quality of output data. Remote Sensing, 13, 649. https://doi.org/10.3390/rs13040649.
Ibraheem, I.M., Aladad, H., Alnaser, M.F., & Stephenson, R. (2021). IAS: A New Novel Phase-Based Filter for Detection of Un-exploded Ordnances. Remote Sensing, 13, 4345. https://doi.org/10.3390/rs13214345.
Kolster, M.E., & Dössing, A. (2021a). Scalar magnetic difference inversion applied to UAV-based UXO detection. Geophysical Journal International, 224(1), 468—486. https://doi.org/ 10.1093/gji/ggaa483.
Kolster, M.E., & Dössing, A. (2021b). Simultaneous line shift and source parameter inversion applied to a scalar magnetic survey for small unexploded ordnance. Near Surface Geophysics, 19, 629—641. https://doi.org/10.1002/nsg.12178.
Kolster, M.E., Wigh, M.D., da Silva, E.L.S., Bjerg Vilhelmsen, T., & Dössing, A. (2022). High-Speed Magnetic Surveying for Unexploded Ordnance Using UAV Systems. Remote Sensing, 14, 1134. https://doi.org/10.3390/rs14051134.
Lev, E., & Arie, M. (2011). Unmanned airborne magnetic and VLF investigations: Effective geophysical methodology for the near future. Positioning, 2(3), 6959. https://doi.org/10.4236/pos.2011.23012.
Nelson, H.H., & McDonald, J.R. (2006). Airborne Magnetometry Surveys for Detection of Unexploded Ordnance. Retrieved from https://apps.dtic.mil/sti/citations/ADA515639.
Parshin, A.V., Morozov, V.A., Blinov, A.V., Kosterev, A.N., & Budyak, A.E. (2018). Low-altitude geophysical magnetic pro-specting based on multirotor UAV as a promising replacement for traditional ground survey. Geo-Spatial Information Science, 21, 67—74. https://doi.org/10.1080/10095020.2017.1420508.
Stoll, J., & Moritz, D. (2013). Unmanned aircraft systems for rapid near surface geophysical measurements. Proc. of the 75th EA-GE Conference & Exhibition-Workshops, London, UK, 10—13 June 2013 (pp. cp-349-00062). https://doi.org/10.3997/2214-4609.20131212.
Tezkan, B., Stoll, J.B., Bergers, R., & Großbach, H. (2011). Unmanned aircraft system proves itself as a geophysical measuring platform for aeromagnetic surveys. First Break, 29(4). https://doi.org/0.3997/1365-2397.29.4.49509.
Tuck, L., Samson, C., Polowick, C., & Laliberte, J. (2019). Real-time compensation of magnetic data acquired by a single-rotor unmanned airc¬raft system. Geophysical Prospecting, 67, 1637—1651. https://doi.org/10.1111/1365-2478. 12800.
Walter, C., Braun, A., & Fotopoulos, G. (2020). High-resolution unmanned aerial vehicle aero¬magnetic surveys for mineral explo-ration tar¬gets. Geophysical Prospecting, 68, 334—349. https://doi.org/10.1111/1365-2478.12914.
Wood, A., Cook, I., Doyle, B., Cunningham, M., & Samson, C. (2016). Experimental aeromagne¬tic survey using an unmanned air system. The Lea¬ding Edge, 35(3), 214—300. https://doi.org/10. 1190/tle35030270.1.
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