Geometallurgy characterization turns hyperspectral and mineralogical data into the proxy models a block model actually runs on: clay content, alteration proxies, and recovery and hardness predictions - so the metallurgical response of a deposit can be estimated ahead of mining rather than discovered at the plant.
This category spans the full pipeline: the data-acquisition layer (hyperspectral core scanning at roughly 800,000 spectral samples per meter), the interpretation layer (neural-net tools like CSIRO’s MyLogger), and the dynamic block models and proxy models that consume their output downstream.