How imaging spectroscopy addresses the challenges in today’s mining sector
Are you dealing with raw materials? Do you manage mine sites or mineral deposits? Are you looking for more efficient ways for sorting?Then you might…
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HAIP Solution – a small, versatile VNIR scanner
rad. Data Spectral Analytics UG meets HAIP Solutions. We tested the HAIP laboratory setup for some of our rock samples. We compared a commonly used SAM analysis…
Port Hedland, Western Australia
Stockpile monitoring from space Have a look at Port Hedland and how the stockpiles show up in Copernicus Sentinel-2 imagery.Here’s an example of our ReSens+ analysis.…
Oyu Tolgoi PCA analysis
Today is a comparison to that with the widely used statistical principal component analysis PCA which indicates areas of spectral homogeneity – but nothing more. The PCA aids your exploration by detecting surface patterns, but ReSens+ points straight to the expected mineralisation!
Oyu Tolgoi from Space
Here’s the best and second best fit of the spectral library features of the Sentinel-2 data for the Oyu Tolgoi mine in Mongolia. They show the surface pattern of strong iron mineralization but also the expected increase of carbonate and chlorite in the open pit.
Sentinel-2 resolutions
What level of spatial detail by Copernicus Sentinel-2 data is suitable for your application? Here we see three examples from Cape Town for the three different versions of resolutions of Copernicus Sentinel-2 (10m, 20m, 60m).
South Africa surface mapping
Are you interested in identifying the most prominent surface covers in a country? Resens+ Space can provide you with this information. Here you can see the spectraly most prominent surface cover types of South Africa based on Copernicus Sentinel-2 data.
South Africa iron mineral mapping
Our Resens+ Space product is able to offer material insight into large areas at different resolutions. Here is our analysis results for different iron mineral species across South Africa.
Hyperspectral technologies in mining – Our vision
With our ReSens+ technology we are working on the development of different modules for all stages in mining. Don’ hesitate to contact us to get your solution tailor-made to your specific needs and applications.
rad.Data Spectral Analytics presents: How site-specific material libraries can improve the overall mapping of hyperspectral imagery using ReSens+ mapping algorithm “EnGeoMap”
Hyperspectral imagery in mining operations opens the possibility of mineral & ore-classification, and (semi-)quantitative maps in a diverse and changing mining environment. Tripod or drone-based (UAV) measurements can generate updated and pixel-precise ore-classification maps of a mine within 1-2 hours based on site-specific and georeferenced hyperspectral library data.