Precious and Base Metals Targeting

Precious and Base Metals Targeting

Enhancing exploration success through innovative precious and base metals prospectivity assessments.

Map showing mineral prospectivity in copper porphyry areas with color-coded regions indicating different mineral types such as Kaolinite-Alunite and Smectite, and areas with weak or strong 2350nm signals indicating the presence of propylitic or carbonate alteration. The map includes a 5 km scale bar for reference.

Targeting Precious and base metals Mineralization

GeoSpectra specialises cutting-edge spectral remote sensing, , exploration data analysis and geospatial modeling to optimize reginal to camp-scale targeting of precious and base metals mineralization (e.g., Cu-Au-Mo porphyry, epithermal gold, IOCG, orogenetic gold, and MVT  systems).

A detailed mineral map of a geological scene titled 'Mineral Map-One ASTER Scene,' showing varied mineral distributions in colors such as purple, red, orange, yellow, green, and brown. The map includes a legend on the left linking colors to mineral types like pyrophyllite, alunite, kaolinite, illite, montmorillonite, and others. A scale bar indicates 10 kilometers for reference.

Regional Mineral Mapping

To map the surface footprint of hydrothermal systems for precious and base metals exploration, we provide Mineral Maps derived from satellite imagery such as  multispectral ASTER and hyperspectral EnMap. This map identifies distinct alteration mineral zones, tracking key indicators ranging from advanced argillic (e.g., alunite, pyrophyllite) to phyllic/argillic suites (e.g., illite, kaolinite, and smectite) to propylitic halos (chlorite,  epidote, and calcite).

Aster Target Map

Regional Target Generation

GeoSpectra integrates favorable lithologies, hydrothermal alteration minerals, structures and other exploration data. Where these critical features spatially overlap, the model defines and ranks prospective zones into low to high priority targets such as the highlighted zones surrounding the known gold and copper deposits for similar on-ground exploration.

A satellite map with geological information about gold mineralization potential. The map shows various colored areas indicating different mineral deposits and soil types, with a legend on the left explaining colors such as red for pyrophyllite, pink for alunite, purple for kaolinite, orange for illite, yellow for illite-smectite, green for possible clays, and brown for weak smectite, all over a grayscale background of terrain. A scale bar at the bottom right indicates 500 meters.

Camp-Scale Mineral Mapping

GeoSpectra delivers advanced analysis of high-resolution Worldview-3 imagery to map key indicator minerals for on-ground camp-scale precious and base metals exploration .

Mieral Map-3D

Camp-Scale 3D Mineral Mapping

GeoSpectra delivers advanced 3D analysis of high-resolution Worldview-3 imagery to map key indicator minerals  in a camp scale on-ground exploration.  This 3D WV3 image displays hydrothermal alteration zoning of a typical porphyry Cu-Au system. 

A scientific diagram showing a series of plots related to earth science or geology. The top row shows different data plots labeled ANP, QMP, FAULT, SI, ARG+PHY, RTP, AS, and GEOCHEM. The lower part contains a colored grid map indicating drilling potential and cell-based association data, with potential areas marked in yellow and areas for drilling potential. The map includes a scale bar of 250 meters and a north arrow, with annotations about drilling potential and potential areas for research or resource extraction.

Camp-Scale Data Integration and Scout Drilling Targeting

GeoSpectra analyses deposit-scale geological, geochemical, and geophysical  data to identify subtle key indicators exploration features and integrate them by  using advanced  machine-learning cell-based association to locate favorable preliminary drillings to search for hidden precious and base metals  mineralization.

Bore holes

Bore Holes

GeoSpectra applies a semi-supervised machine learning algorithms to merge the favorable surface signatures with 3D borehole assays and lithological logs in various base and precious metal deposits. By analyzing both  results simultaneously, our workflow models ore-body continuity—enabling exploration teams to precisely target infill drilling. We then delivers advanced reserve estimation and modelling.