Geology & Minerals

The Iron Oxide Ratio: Spotting Gossans and Rust From Space

Concept article · Updated · by Dr. Anant Kumar Pathak

Weathered, iron-stained ground — the rusty gossans that can cap a buried sulphide deposit — reflects red far more than blue. The iron-oxide ratio turns that simple contrast into a mineral-exploration vector.

The physical basis

The ratio is high where iron oxides such as haematite, goethite and jarosite absorb blue and reflect red, i.e. over oxidised, rust-coloured surfaces. It is the classic Landsat "iron" band ratio, dating back to the earliest satellite mineral mapping.

The math behind it

Iron Oxide = Red / Blue

where Red is red reflectance, Blue is blue reflectance.

How to interpret the output

Typical range: Ratio > 0 (higher = stronger iron-oxide signal)

Elevated values map gossans and oxidised, iron-stained ground — surface indicators of buried sulphide deposits.

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The bands it needs

Sentinel-2Red B4 · Blue B2
Landsat 8/9Red B4 · Blue B2

Real-world use

It maps gossans, oxidised outcrops and acid-drainage zones, and is a standard layer in exploration band-ratio composites.

Watch out for

Also responds to red-toned soils and man-made materials; needs bare, well-illuminated surfaces.

Red soils, terracotta rooftops and other red-toned man-made materials also score high, so it is prone to false positives outside bare terrain — restrict interpretation to well-exposed, well-lit rock and validate in the field.

Compute Iron Oxide on your own study area

Skip the code. Draw or upload a boundary and Spatial Research Suite runs Iron Oxide on live Sentinel-2 or Landsat imagery — with cloud masking, exports and citations built in.

Run this analysis in GISforus →

Frequently asked

What does the iron-oxide ratio map?

Oxidised, iron-stained surfaces such as gossans and acid-drainage zones — surface indicators of possible buried mineralisation.

Why does it produce false positives?

Any red-toned material, including red soils and terracotta roofs, raises the red/blue ratio, so it must be confined to bare rock and verified in the field.

Primary reference: Sabins, F.F. (1999). Remote sensing for mineral exploration. Ore Geology Reviews 14(3–4), 157–183.