Exploring effectively through cover is a fundamental challenge for the minerals industry in Australia, and the same need is driving the restructuring of mineral exploration strategies world-wide. The study area chosen for this particular research project is located in the Central Gawler Craton, a well-known regolith-dominated terrain with an extensive and intensely weathered cover. The project aimed to: (1) contribute to existing exploration strategies using Domain knowledge and Digital (D&D) projects by integrating landscape variability, regolith mapping, surface and basement lineament extraction from diverse datasets (e.g. Digital Elevation Model -DEM, magnetics, gravity), robust geological interpretations, and mineral systems insights; (2) contribute to the understanding of the relationship between the fabric of the basement and the variability of the cover in the Central Gawler Craton; and (3) better understand the landscape variability in the region. A new regolith map was produced for the Tarcoola region. This was coupled with the identification of surface lineaments by a knowledge-driven protocol exercised on DEM and satellite imagery. These lineaments correlate with known geological trends, which strongly supports the validity and consistency of the knowledge-driven lineament interpretations. In addition, and to compare outputs of two methodologies for lineament extraction, a new computer-assisted workflow to detect lineaments in diverse datasets (e.g. magnetics, gravity) was developed. This workflow defined surface and basement lineaments based on DEM, radiometric, gravity, and magnetic datasets using a computer-assisted protocol. Statistical analysis of the resulting surface lineaments supports the findings that they are not reliable for geological mapping, but basement lineaments display consistent natural patterns that can be used to complement geological interpretations. The Landscape Pattern Recognition (LPR) algorithm was employed to map five different landscape domains, based on geometrical variability of surface features within in the study area. The resulting LPR domain map does not correlate with basement geology, regolith or surface lineament domains. It rather resembles the different environments of the sedimentary system footprint left behind by the Kingoonya Palaeochannel System. This suggests the potential of the LPR algorithm to map physiographic units. The fabric of the basement in the Central Gawler Craton is mirrored by or through the cover for lineaments extracted from magnetic and DEM data. Some of the major structures correspond to the termination of, or gaps between, areas with of higher density of surface lineaments. However, observations on landscape variability, regolith units, and computer-assisted identified lineament domains, show no evidence of a direct correlation with the fabric of the basement. Based on the outputs summarised above, several target areas in the Central Gawler Craton were delineated for mineral exploration follow-up based on the convergence of five proxies: (1) surface lineament density areas; (2) regional geological structures; (3) key geological structures associated with mineral systems; (4) areas with historical discovery of ore deposits; and (5) areas related to gradients in erosional landscape regimes.