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Badlands Bombing Range, South Dakota. Executive Summary

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The objective of this demonstration was to compare the discrimination potential of three dynamic surveys among themselves and with static grid data over common targets at the CT-3A Bombing target, Former Badlands Bombing Range, South Dakota. This demonstration leveraged an ordnance and explosive removal action funded by the Corps of Engineers, whose objective was to remove all items larger than a 40mm projectile. We analyzed data from part of the bombing target with the goal of identifying particular targets of interest that could be discriminated from the plethora of munitions debris that is present at this locale. Recovered targets of interest were unfortunately few in number, but include i four 20mm projectiles, ii six 2.25 inch aluminum sub-caliber aircraft rocket warheads, and iii one ferrous 2.75 inch folding-fin aircraft rocket warhead. Data from multiple geophysical systems were analyzed using UX-Analyze. The data sets include i electromagnetic survey data acquired using a man-portable litter configuration and a vehicle-towed array, ii electromagnetic data acquired in a grid over individual targets, and iii magnetic data acquired using a man-portable two-sensor system. UX-Analyze provides the necessary infrastructure to systematically identify and extract anomalies from the dataset, execute the characterization routines, and perform target classification. It is integrated into Oasis montajTM, a commercial data processing and visualization software suite. The inversion routines within UX-Analyze assume a dipolar source and derive the best set of induced dipole model parameters that account for the spatial variation of the signal as the sensor is moved over the object. Discriminating the 20mm projectiles and 2.25 inch aluminum warheads from the plethora of munitions debris responses based on their inverted shape parameters proved challenging.

Subject Categories:

  • Magnetic and Electric Field Detection and Detectors
  • Ammunition and Explosives

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