Axine Labs
Free / commercial imagery

Alteration Mineral Mapping

Draw your licence area and get back a classified alteration map: advanced argillic, phyllic and propylitic, resolved per pixel.

Per-pixel alteration mineralogy separating advanced argillic, phyllic and propylitic assemblages.

Alteration Mineral Mapping
In view

A historic mining district in Nevada. Continuum-removed alteration assemblage: advanced argillic (alunite, pyrophyllite) against phyllic (illite, muscovite).

WHAT THE SENSOR SEES

What this layer looks for.

The laboratory reference for each material, and what the sensor's band spacing captures of it. The shaded band marks the range the method reads.

0.402.002 µm2.090 µm2.179 µm2.268 µm2.357 µm2.446 µmWavelength (µm)Reflectance
Laboratory reference
Sensor sampling
Working range
Band depth0.26
Feature width50 nm
Band spacing7.4 nm

WHAT IT FINDS

What it detects.

MaterialTypical settingWhat can confuse it
Alunite & PyrophylliteHigh-sulfidation epithermal lithocaps and porphyry coresStrong atmospheric water vapour at the edge of the window
Kaolinite & DickiteIntermediate argillic alteration and weathering horizonsPoorly crystalline smectite clay mixtures
Illite & Muscovite (White Mica)Phyllic alteration shells in porphyry Cu-Mo-Au systemsDry canopy cellulose, which overlaps the same range
Chlorite & EpidoteDistal propylitic alteration haloesCalcite and dolomite carbonate absorptions

METHOD

How it works.

Calibrated reflectance goes in, and every pixel is fitted against a public reference library.

01Step 1

Surface reflectance ingest

Scenes are read at the archive's own surface reflectance level. Wherever the instrument measured nothing, that gap is declared and carried through, never interpolated across.

02Step 2

Continuum removal

A convex upper hull is fitted across the working range so the shape of each absorption stands apart from overall brightness.

03Step 3

Least-squares fitting against reference spectra

Continuum-removed features are fitted to laboratory reference spectra using non-negative least squares with wavelength shift.

04Step 4

Evaluability masking

Green canopy, cloud, shadow and low-illumination pixels go into a separate "not evaluated" class, hatched in the legend, transparent on the map, null in exports. Not measured is drawn differently from measured zero.

SPECIFICATIONS

What you get, and what it runs on.

Values deliveredSurface reflectance, floating point. Unmeasured pixels carry null, not zero
OutputInterpreted alteration assemblage raster
TurnaroundArchive jobs queue behind granule download; the job page names the stage it is in
Formats
Cloud-Optimized GeoTIFF (COG)GeoJSON Polygon ClustersApache Parquet Spectral CurvesProvenance record (engine, model version, scene ids)

Conditions it needs

Sun angle limit:60°
Cloud cover limit:10%
Vegetation cover limit:45%
Slope limit:40°

Method and checks are documented in Axine Applied Spectroscopy Paper #1 · Section 4.2.

Read the paper

Scope

Reads exposed rock and soil. Vegetated and covered ground is masked out, and nothing here speaks to what lies at depth.