CHARACTERIZATION OF CHBrCl2 PHOTOLYSIS BY VELOCITY MAP IMAGING

Merrill, W. G.; Case, Amanda S.; Haenni, Benjamin C.; McMahon, Robert J.; Crim, F. Fleming

doi:10.15278/isms.2015.ti12

Cited by 1 publication

(1 citation statement)

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“…Downwind movement of acid-generating minerals could also be monitored with HSI data [170]. From an economic perspective, mine tailings can contain large quantities of high-value metals, which could be assessed (in combination with in-situ and laboratory data) for re-mining [164,204,205]. Although HSI data has provided encouraging results in mapping the mineralogy of leach pads, the spatial resolution of current (and likely near-future) spaceborne HSI sensors might not be sufficient for leach pad-scale mapping and most likely, it requires UASs with high spatial resolution [206].…”

Section: Closure and Rehabilitationmentioning

confidence: 99%

Imaging Spectroscopy for the Mining Life Cycle: A Guide for Drone Applications

Koerting,

Asadzadeh,

Hildebrand

et al. 2024

Preprint

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Hyperspectral imaging data holds great potential for the different stages of the mining life cycle in active and post-mining environments. However, the technology has yet to reach the stage of large-scale industrial implementation and acceptance. While hyperspectral satellite imagery can achieve high spectral resolution, signal-to-noise ratio (SNR) and global availability with break-through satellite systems like EnMAP, EMIT and PRISMA, limited spatial resolution poses chal-lenges for sectors like mining, which require decimetre to centimetre scale resolution for applica-tions such as reconciliation, ore/waste estimates, geotechnical assessments and environmental monitoring. Hyperspectral imaging from drones (referred to herein as Uncrewed Aerial Systems; UASs) offers high spatial resolution data relevant to the camp/ mine scale, with the capability for frequent, user-defined re-visit times. This has been made possible by the miniaturization of hy-perspectral imaging systems. Collection of data in the visible to near and shortwave infrared (VNIR-SWIR) wavelength regions enables the detection of different minerals and surface altera-tion patterns potentially revealing crucial information for exploration, extraction, re-mining, waste remediation, and rehabilitation. In this paper, we provide a review of relevant studies de-ploying hyperspectral imaging in or applicable to the mining sector, especially for the use of hy-perspectral VNIR-SWIR Uncrewed Aerial Systems. Where required, we draw on previous in-sights derived from satellite or ground-based systems. We also discuss UAS survey planning, and sampling considerations for validation and interpretation.

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