Abstract
Determining the presence and abundance of uranium mineralization at legacy mine sites is important both for responsible environmental management but also for potential resource recovery. Technologies that can make such determinations quickly and at low cost are highly desirable. The current work focuses on demonstrating the use of simple handheld COTS devices for rapidly 4
determining the presence and distribution of uranyl minerals within an abandoned copper-uranium mine. Specifically, this work demonstrates the use of a commercial-off-the-shelf (COTS) iPhone 12 Pro smartphone with in-built solid-state LiDAR (laser) scanner in combination with a handheld LED-based UV torch to conduct a rapid fluorescence imaging photogrammetry survey aimed at rapidly determining the distribution of uranyl minerals within an abandoned copper-uranium mine in the Sierra Ancha Wilderness Area, Gila County, Arizona, U.S.A. Such a simple methodology, presented herein, can be used to quickly determine the three dimensional distribution and abundance of uranyl minerals within the underground workings and provide an indication of the presence of primary uranium ore minerals buried within the surrounding rock.
determining the presence and distribution of uranyl minerals within an abandoned copper-uranium mine. Specifically, this work demonstrates the use of a commercial-off-the-shelf (COTS) iPhone 12 Pro smartphone with in-built solid-state LiDAR (laser) scanner in combination with a handheld LED-based UV torch to conduct a rapid fluorescence imaging photogrammetry survey aimed at rapidly determining the distribution of uranyl minerals within an abandoned copper-uranium mine in the Sierra Ancha Wilderness Area, Gila County, Arizona, U.S.A. Such a simple methodology, presented herein, can be used to quickly determine the three dimensional distribution and abundance of uranyl minerals within the underground workings and provide an indication of the presence of primary uranium ore minerals buried within the surrounding rock.
Original language | English |
---|---|
Journal | Sensors |
Publication status | Submitted - 17 Jan 2025 |