Technological innovations and emerging analytical capabilities are transforming the mineralogical and textural analysis of rock samples and drill core. Accurate mineralogical identification and systematic documentation can enhance deposit knowledge across the mining chain. From the earliest stages of mine-life, accurate mineralogical identification can also enhance environmental characterisation which traditionally utilises a range of wet chemical tests to predict acid generation and acid neutralisation potential. An enhanced understanding of both the ore and gangue mineralogy allows accurate prediction of the geoenvironmental characteristics of future waste materials. This study presents examples using thermal infrared (TIR) hyperspectral ...
Acid mine drainage (AMD) is a key concern of the mining industry due to its impact on the quality of...
The utilization of hyperspectral detection devices, for natural resources mapping/exploitation throu...
Monitoring mine waste from sulfide deposits by hyperspectral remote sensing can be used to predict s...
Technological innovations and emerging analytical capabilities are transforming the mineralogical an...
Hyperspectral analysis integrating near-infrared (NIR), shortwave infrared (SWIR) and longwave infra...
Hyperspectral drill core scanning technology (e.g., CoreScan®), which uses visual nearinfrared (VNIR...
Changing government legislative requirements and higher community expectations of the mining industr...
A benchmarking databank based on different spectral, multiscale, multisensor exploration technologie...
Management of solid mine wastes requires detailed material characterisation at the start of a projec...
Geometallurgical assessment of orebodies in the mining industry typically relies on bench-scale or l...
Management of solid mine wastes requires detailed material characterisation at the start of a projec...
Driven by the need to use mineral resources more sustainably, and the increasing complexity of ore d...
Near-infrared (NIR) and short-wavelength infrared (SWIR) hyperspectral imagery can be used to detect...
Defining the acid forming potential during the exploration stages of a mining project is critical fo...
International audienceMonitoring mine waste from sulfide deposits by hyperspectral remote sensing ca...
Acid mine drainage (AMD) is a key concern of the mining industry due to its impact on the quality of...
The utilization of hyperspectral detection devices, for natural resources mapping/exploitation throu...
Monitoring mine waste from sulfide deposits by hyperspectral remote sensing can be used to predict s...
Technological innovations and emerging analytical capabilities are transforming the mineralogical an...
Hyperspectral analysis integrating near-infrared (NIR), shortwave infrared (SWIR) and longwave infra...
Hyperspectral drill core scanning technology (e.g., CoreScan®), which uses visual nearinfrared (VNIR...
Changing government legislative requirements and higher community expectations of the mining industr...
A benchmarking databank based on different spectral, multiscale, multisensor exploration technologie...
Management of solid mine wastes requires detailed material characterisation at the start of a projec...
Geometallurgical assessment of orebodies in the mining industry typically relies on bench-scale or l...
Management of solid mine wastes requires detailed material characterisation at the start of a projec...
Driven by the need to use mineral resources more sustainably, and the increasing complexity of ore d...
Near-infrared (NIR) and short-wavelength infrared (SWIR) hyperspectral imagery can be used to detect...
Defining the acid forming potential during the exploration stages of a mining project is critical fo...
International audienceMonitoring mine waste from sulfide deposits by hyperspectral remote sensing ca...
Acid mine drainage (AMD) is a key concern of the mining industry due to its impact on the quality of...
The utilization of hyperspectral detection devices, for natural resources mapping/exploitation throu...
Monitoring mine waste from sulfide deposits by hyperspectral remote sensing can be used to predict s...