A leading global mining company specializing in Lithium, Iron, Copper, Diamonds, Gold, and Uranium extraction aims to process remote sensing data. Utilizing Machine Learning models with band ratios and reflectance values, it seeks to identify new mineral occurrence locations to meet rising global demand.
Refactor code to python and access AWS processing infrastructure.
Test and validate re-factored python code in the current process.
Information extraction on Remote Sensing (RS) screens to create prediction variables.
Use the information gained from the above analysis to create a Machine Learning model.
Validate Machine Learning model against hold out data.
Score incoming RS screens data to identify new potential mineral sites.