This study investigates classical scrapie (CS) and the risk of interspecies prion transmission by using presence data from wild cervids and infected small ruminant flocks. Employing remote sensing technologies, it derives vegetative and biophysical satellite indices to represent habitat features. A species distribution model integrates these data to identify suitable areas for CS and its hosts. The resultant consensus map and overlapping suitable areas create a detailed infection risk matrix.