Remote sensing studies for mineral exploration

Hydrothermal alteration, lithology and structure mapped from satellite data, then ranked into targets a field team can walk to. It is the fastest way to see a whole license, and the best way to spend the field budget well.

Why we start in orbit

Most licenses in Pakistan are large, remote and steep. A field crew can map a few square kilometers a day; a satellite scene covers the entire license, and the archive goes back decades. Ore-forming fluids change the rocks they pass through, and the minerals they leave behind (clays, micas, alunite, chlorite, carbonates and iron oxides) absorb sunlight at wavelengths that satellites record.

Reading those absorptions tells us where the alteration is, what kind it is, and how it is zoned. Zoning is what matters: a porphyry system shows an argillic core, a phyllic halo and a propylitic fringe, and the pattern points to where the intrusion sits.

Coverage
Whole licensein one scene
Access
No permitsno security escort
Output
Ranked targetswith field coordinates
Grayscale satellite base with yellow clay, orange ferric iron and magenta combined anomalies
Fig. 1Clay (yellow), ferric iron (orange) and coincident clay and iron (magenta). Porphyry Cu-Au belt, Balochistan.Multispectral clay and iron-oxide ratios

One license, three products

A desert porphyry license taken from satellite imagery to a ranked score. Each product feeds the next, and only ground that several layers agree on goes to the field.

Satellite image of a long desert license block in natural color, with interpreted faults drawn as thin ochre lines The same license in grayscale with ochre, green, blue and red patches showing dominant mineral groups The same license in grayscale with glowing purple, orange and yellow zones marking the highest-scoring ground

Imagery and faults

  • Interpreted fault or lineament
  • License boundary

Dominant mineral group

  • White mica and clays
  • Chlorite and epidote
  • Carbonate
  • Mixed

Target score, upper quartile

lowerhigher

Imagery and faults. Natural-color satellite image with faults and lineaments interpreted from imagery and terrain.

Mineral groups. Dominant alteration and rock-forming minerals mapped from hyperspectral data, over a grayscale base.

Target score. Mineral, iron-oxide and structural layers weighted into one score. Brighter ground ranks first for follow-up.

Methods

No single technique is enough. We run several, and only trust a target that more than one of them points to.

Band ratios and mineral indices

Iron-oxide, clay, Al-OH, Mg-OH and carbonate indices, thresholded consistently so results compare across a district.

Principal components

Directed principal component analysis (the Crósta technique) isolates hydroxyl and iron-oxide signals from the brightness of the rocks around them.

Spectral matching

Pixel spectra matched against reference spectral libraries and our own field spectra.

Hyperspectral mineral maps

Imaging spectrometers tell kaolinite, alunite, sericite, chlorite and carbonate apart, so argillic, phyllic and propylitic zones separate.

Structure and lineaments

Hillshades and drainage analysis on elevation models, tied to fault and contact mapping in the field.

Vegetation and masking

In forested ranges, vegetation stress stands in for the rock we cannot see. Elsewhere we mask snow, glacier, shadow, water and young alluvium first.

How a study runs

From the first scene to the field check, a study of a single license typically takes a few weeks.

  1. Scenes and corrections

    Cloud- and snow-free scenes chosen, corrected and brought onto one grid.

  2. Masking

    Vegetation, snow, water, shadow and alluvium removed so they cannot pose as anomalies.

  3. Mineral mapping

    Ratios, indices, PCA and spectral matching run in parallel, then compared.

  4. Integration and ranking

    Alteration, structure, known occurrences and access scored into a ranked target list.

  5. Field check and report

    Targets verified with mapping, sampling and pXRF; the report is written for owners and regulators.

From the archive

Different deposit types, different terrain, same discipline. Names and coordinates are withheld for our clients.

False-color composite with a river on the left, dashed license boundaries and small purple target patches
Fig. 2Tourmaline and copper targets between license blocks, Khyber Pakhtunkhwa. Dashed: license boundaries.SWIR composite · spectral classification
Dark false-color mountain valley with yellow greisen and cyan skarn target points
Fig. 3Greisen (yellow) and skarn (cyan) targets along a valley, Khyber Pakhtunkhwa.SWIR-NIR-red false-color composite · priority targets
Interpreted geological map with iron-oxide zones in salmon, amphibolite in olive and glacier in white
Fig. 4Litho-spectral map of a glaciated block: iron-oxide gossan (salmon) is the first-priority target. Gilgit-Baltistan.Multispectral and hyperspectral data, field-checked
Shaded relief of forested hills with a yellow license outline and cyan and red sample clusters
Fig. 5Ground-truth clusters inside a license after field checking, Khyber Pakhtunkhwa.Field-verified targets over terrain basemap

What you receive

  • Alteration and lithology maps at print quality, with legends and scale
  • A ranked target table with coordinates and the reason for each rank
  • KMZ files that open on a field geologist's phone
  • GeoTIFF layers for your GIS or for dbmine
  • A field verification plan: routes, samples and checks per target
  • A report chapter written to support department submissions, including area extensions

What satellites cannot do

Remote sensing sees the top few microns of the surface. Alluvium, snow, scree and vegetation hide what is underneath, and a strong anomaly can be weathered barren rock. That is why every study ends in the field, and why we say so in the report. Targets are a reason to go and look, not a resource.

Deposit typeWhat we look for
Porphyry Cu-AuArgillic core, phyllic halo, propylitic fringe, iron-oxide caps
Skarn and greisen W-CuCarbonate contacts, calc-silicates, muscovite and tourmaline
Placer goldTerraces, bars and drainage below known sources
BariteHost carbonates and the structures that trap it
ChromiteSerpentinised ultramafics (Mg-OH) in ophiolite belts

Send us a license outline.

A KML, a coordinate list from the department letter, or just the license number. We will tell you what the satellites can show and what a study would cost.