blog - rad.Data

2020-05-022020-05-02Editorial Team

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!

2020-05-022020-05-02Editorial Team

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.

2020-05-022020-05-02Editorial Team

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).

2020-05-022020-05-02Editorial Team

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.

2020-05-022020-05-02Editorial Team

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.

2020-05-022020-05-02Editorial Team

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.

2019-08-262019-08-26Friederike

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.