Drone-based radiometric surveys provide high-resolution mine waste characterization

Abstract Airborne radiometric surveys use passive geophysical techniques to characterize geochemical variations at or near earth’s surface. These methods have been used for a variety of mapping applications, including mineral resource evaluation. However, detailed characterization of smaller geologic targets, including mine waste features, requires flying at lower altitudes and with tighter line spacing than is feasible with traditional aircraft. Here, a small uncrewed aircraft system (sUAS) equipped with a radiometric sensor was used to acquire high-resolution gamma-spectrometry over small mine waste features and a low-grade stockpile in southwestern New Mexico. The sUAS radiometric system mapped local variability within each survey area and revealed ~2–10 m wide zones where radioelements K, Th, and U may be elevated 2–10× the surrounding material. Additionally, the sUAS radiometric data revealed radioelement variability across survey sites, which correlated reasonably well with variability seen in geochemical samples at each survey site, even though samples collected from individual sites showed high local variability. The sUAS data characterized local heterogeneity within mine waste and other small geologic targets at scales of a few meters to tens of meters, which is not possible with traditional crewed aircraft, and with continuity of coverage that is not possible with ground surveys, thus filling a key gap in geophysical survey spatial resolution.

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Publication Details

Journal
The Leading Edge
Published
2025-11-01
DOI
https://doi.org/10.1190/tle44110889.1
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
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article

Drone-based radiometric surveys provide high-resolution mine waste characterization

Evan J. Owen, Chloe Gustafson, Anjana K. Shah, Virginia T. McLemore et al.
1 citations
The Leading Edge
Geochemistry and Geologic Mapping
2.48
article

Drone-based radiometric surveys provide high-resolution mine waste characterization

Evan J. Owen, Chloe Gustafson, Anjana K. Shah, Virginia T. McLemore, Josip Adams, Matthew A. Burgess
article en
1 citations

Abstract

Abstract Airborne radiometric surveys use passive geophysical techniques to characterize geochemical variations at or near earth’s surface. These methods have been used for a variety of mapping applications, including mineral resource evaluation. However, detailed characterization of smaller geologic targets, including mine waste features, requires flying at lower altitudes and with tighter line spacing than is feasible with traditional aircraft. Here, a small uncrewed aircraft system (sUAS) equipped with a radiometric sensor was used to acquire high-resolution gamma-spectrometry over small mine waste features and a low-grade stockpile in southwestern New Mexico. The sUAS radiometric system mapped local variability within each survey area and revealed ~2–10 m wide zones where radioelements K, Th, and U may be elevated 2–10× the surrounding material. Additionally, the sUAS radiometric data revealed radioelement variability across survey sites, which correlated reasonably well with variability seen in geochemical samples at each survey site, even though samples collected from individual sites showed high local variability. The sUAS data characterized local heterogeneity within mine waste and other small geologic targets at scales of a few meters to tens of meters, which is not possible with traditional crewed aircraft, and with continuity of coverage that is not possible with ground surveys, thus filling a key gap in geophysical survey spatial resolution.

The Leading EdgeVol. 44(11)
United States Geological Survey (US), New Mexico Institute of Mining and Technology (US), Denver Federal Center (US), Minerals Technologies (United States) (US)
Openalex Percentile: Top 8%
Geochemistry and Geologic Mapping
2.48
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Drone-based radiometric surveys provide high-resolution mine waste characterization — Evan J. Owen, Chloe Gustafson, et al. · The Leading Edge (2025) | TGRS Research Map | TGRS