Geology · Gossan & Iron Oxide Mapping
GOSSAN – Combined Ferric & Ferrous Iron Index
The GOSSAN index combines ferric and ferrous iron signals to enhance oxidized caps,
iron-rich alteration zones and gossans associated with mineralization.
1. Scientific Definition
The GOSSAN Index is a composite indicator designed to highlight
iron-rich weathered caps and oxidation zones by integrating both ferric (Fe³⁺)
and ferrous (Fe²⁺) spectral responses.
Component Indices
FERROUS = (SWIR − NIR) / (SWIR + NIR)
FERRIC = (Red − Blue) / (Red + Blue)
GOSSAN Formula
GOSSAN = (FERROUS + FERRIC) / 2
Interpretation
High GOSSAN values → strong iron-oxide/iron-bearing alteration, gossans
Low / negative values → vegetation, water, non-altered rocks
Applications
Gossan mapping above sulfide ore bodies
Hydrothermal alteration and iron oxidation halos
Prospecting in arid and semi-arid terrains
2. Required Bands
Sentinel-2
Blue → B2
Red → B4
NIR → B8
SWIR → B11 (or B12 as alternative)
Landsat 8/9 (equivalent)
Blue → B2
Red → B4
NIR → B5
SWIR1 → B6
Suggested Palette
[ "#0b1220", "#3c2f3b", "#7c4a47", "#c47a4f", "#f2c27b" ]
3. Google Earth Engine Code – GOSSAN Index
Copy Code
// GOSSAN Index = (FERROUS + FERRIC) / 2
// FERROUS = (SWIR - NIR) / (SWIR + NIR)
// FERRIC = (Red - Blue) / (Red + Blue)
var roi = geometry;
Map.centerObject(roi, 10);
// Sentinel-2 SR
var s2 = ee.ImageCollection("COPERNICUS/S2_SR")
.filterBounds(roi)
.filterDate("2023-01-01", "2023-12-31")
.filter(ee.Filter.lt("CLOUDY_PIXEL_PERCENTAGE", 20))
.select(["B2","B4","B8","B11"]); // Blue, Red, NIR, SWIR
var img = s2.median().clip(roi);
// FERROUS index
var ferrous = img.expression(
"(S - N) / (S + N)",
{
"S": img.select("B11"), // SWIR
"N": img.select("B8") // NIR
}
).rename("FERROUS");
// FERRIC index
var ferric = img.expression(
"(R - B) / (R + B)",
{
"R": img.select("B4"), // Red
"B": img.select("B2") // Blue
}
).rename("FERRIC");
// GOSSAN index (average of FERROUS and FERRIC)
var gossan = ferrous.add(ferric).divide(2).rename("GOSSAN");
var vis = {
min: -1,
max: 1,
palette: ["#0b1220","#3c2f3b","#7c4a47","#c47a4f","#f2c27b"]
};
Map.addLayer(gossan, vis, "GOSSAN Index");
// Optional: highlight high gossan response
var gossanMask = gossan.gt(0.2).selfMask();
Map.addLayer(gossanMask, {palette:["#ffcc00"]}, "High GOSSAN Zones", false);
// Export
Export.image.toDrive({
image: gossan,
description: "GOSSAN_export",
fileNamePrefix: "GOSSAN_Index",
region: roi,
scale: 20,
crs: "EPSG:4326",
maxPixels: 1e13
});
GOSSAN Composite Index · Start4IT Remote Sensing Mineral Library