ExploreSA02 Mar - 31 Jul
The Gawler Challenge
This competition has finished.
Application of Deep Learning CNN Algorithms for Gawler Region MPM
We use a hybrid data-driven and knowledge-driven approach to Mineral Prospectivity Mapping (MPM) in the Gawler Craton region, South Australia. Specifically, we have applied a deep learning Convolutional Neural Network algorithm, which utilizes known mineralization locations to recognize signatures of a surrounding neighborhood of data, to train and validate the model. The model is then used to make predictions across the Gawler Craton area. We generate a probability map of potential mineralization locations, which is then converted to a heatmap and a contour map.