Temple Pershing Mining Company use extensive processes during explorarion. One being a geospatial machine learning platform that fuses six independent satellite layers: structure (DEM), iron oxide, clay, thermal, gravity, and radiometrics. It normalises each layer, applies weighted fusion, and extracts the top-5 local maxima as ranked targets.

The output is a prospectivity heatmap and a Google Earth KML with colour-coded pins.  proprietary 6th layer manual cross-correlation using public geological records, satellite imagery, and company reports is applied to confirm or reject each anomaly.

This two-stage process eliminates false positives and delivers high-confidence targets. Saving  time, drilling costs, and false leads.