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Abstract

Summary

We present results from numerical simulations of reflection scans with a low frequency pulsed radar system through permafrost host rock with embedded target layers of highly conductive sulfides. The goal of the simulations is to determine the signal to noise ratio needed to detect targets at various depths. Sulfide layers are of interest for mining as they often contain minerals. These layers are typically mined at depths up to a kilometer or more, and the question arises if they can be detected from the surface with a remote sensing method. At these depths seismic methods are not feasible because the targets do not have a strong density contrast, and therefore generate no appreciable reflections. However, as permafrost is highly resistive, the host rock is almost transparent to electromagnetic waves, suggesting a survey with a pulsed radar system. Feature detection down to several kilometers below the surface has been achieved with low frequency pulsed radar surveys in resistive environments such as Martian rock, ice, and permafrost. The simulations are based on the emission and detection properties of the Adrok radar system in a permafrost environment in which we place a conductive reflector (representing the mineral target) at various depths.

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/content/papers/10.3997/2214-4609.201900704
2019-06-03
2024-04-25

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900704
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Calculation of Optimal Noise Levels for the Detection of Conductive Lenses in Permafrost with Radar Scans
Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201900704
/content/papers/10.3997/2214-4609.201900704
/content/papers/10.3997/2214-4609.201900704
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