A terraced open pit cut into a forested mountain valley under a blue sky.

Alteration Mineral Mapping

Available on request

Classify hydrothermal alteration across a licence area from exposed rock and residual soil. Every pixel is fitted against a public laboratory spectral library, and the assemblage it carries is recorded beside the reference it matched. Advanced argillic, argillic, phyllic, propylitic, and carbonate ground are kept as separate classes, preserving the zoning of the system rather than blending it into a single clay index. Vegetated and cloud-covered ground is masked and exported as null, kept distinct from unaltered rock.

Built for exploration geologists assessing a licence before an airborne survey, project managers planning a field season, and investors reviewing what a project shows at surface.

Core Capabilities

Preserved Zoning

Advanced argillic, argillic, phyllic, and propylitic assemblages are returned as separate classes.

Pixel-Level Traceability

Every pixel carries its library match and a fit quality value showing how closely it matched.

Direct GIS Integration

Cloud-Optimized GeoTIFF opens in QGIS, ArcGIS, and Leapfrog without a conversion step.

What It Looks Like

Alteration assemblage map over a desert range, coloured by class: advanced argillic, argillic, phyllic and carbonate.
Alteration assemblage over an arid alteration district, one class per pixel, laid over the basemap.
Fit quality layer over the same ground, shaded from green to yellow.
Fit quality over the same ground: how closely each pixel matched its library reference.

Inputs and Deliverables

Inputs Required

  • Licence or tenement boundary (GeoJSON, zipped shapefile, or KML).
  • Target deposit style, where known (for example, porphyry copper-gold).

Deliverables

  • Cloud-Optimized GeoTIFF alteration map, one class per pixel, ready for QGIS, ArcGIS, and Leapfrog.
  • Fit quality layer showing how closely each pixel matched its library reference.
  • Mask layer for vegetation, cloud, and low signal, drawn hatched and exported as null.
  • GeoJSON alteration cluster polygons for field planning.
  • Per-pixel reflectance curves as Parquet tables for independent analysis.
  • Provenance record specifying the engine, model version, and every scene used.

Methodology and Sources

Public Sources: Open spaceborne hyperspectral archive, Public laboratory spectral library.

Commercial Sources: High-resolution imagery via our partner SkyFi (on request).

Limits of Detection

Analysis is limited to surface alteration. Mineralisation at depth, ore grade, and concentration are not measured.

Alteration is read from exposed rock and residual soil, mapping the surface zoning of a hydrothermal system. Each result records the calibration applied, so the reference behind every map is documented in the output.

Arid and sparsely vegetated terrain provides the strongest mineral signal. If a site calls for sharper imagery, we will scope commercial imagery via SkyFi.

Workflow

  1. Submit Boundaries

    Provide the licence, tenement, or prospect geometry and the target deposit style.

  2. Scene Selection

    We identify the hyperspectral scenes over your ground and the share of exposed surface they cover.

  3. Classification

    Every readable pixel is fitted against the library and grouped into alteration clusters.

  4. Delivery

    You receive the GeoTIFFs, cluster vectors, Parquet curves, and provenance documentation.

Use Cases

Exploration Geologists

Assess a licence before commissioning an airborne survey and plan traverses around the alteration clusters.

Mine Operators

Map alteration around an operating pit to frame near-mine exploration on ground already held.

Investors and Lenders

Review the surface alteration of a project on scenes that can be independently traced.

Submit a Licence Area

Provide the boundary of one licence or one belt. Our team runs the alteration map and the district score over it and reviews the results with your geologists.