CONSTRUCTION OF PROGNOSTIC PROSPECTING MODELS FOR LARGE ORE OBJECTS ON THE BASIS OF REMOTE-SENSING DATA

Consideration is given to the problems of constructing prognostic prospecting models based on remote sensing data, as a prerequisite component for comprehensive prospecting jobs and metallogenic investigations directed to revealing large and unique ore objects. The necessity and effectiveness of such investigations ale demonstrated with models of three generalization levels for unique copper pyrite ore objects in the South Urals.