Remotely sensed data are becoming widely applied to geologic exploration activities throughout the world. With the proliferation of geographic information systems (GIS) the potential contribution of remote sensing to geologic mapping has increased. This paper addresses some current, largely experimental, as well as operational methods for using remotely sensed data for geologic mapping using examples from Nova Scotia and Newfoundland, Canada.
Investigations were conducted into integrating and modelling geologic data sets including remote sensing derived geological information, geochemical, and geophysical data sets within a geographic information system. Techniques for incorporating remotely sensed data into the modelling of different geologic data sets were addressed.
Results have indicated useful remotely sensed data products for incorporation into a GIS. Two approaches to modelling of the geologic data sets for mineral exploration were demonstrated. The first approach uses a priori geologic knowledge (mineral deposit model) to drive the modelling procedures whereas the second does not rely on a priori knowledge and focuses on the definition of anomalies in each data set.
A comparison was made between state-of-the-art methods of data integration for mineral exploration within a GIS and current operational methodologies.