FerrousMinerals
Summary
Calculates the Ferrous Minerals (FM) ratio from a multiband raster object and returns a raster object with the index values.
Discussion
The ferrous minerals ratio highlights iron-bearing materials. It uses the ratio between the SWIR band and the NIR band.
\(Ferrous\ Minerals\ Ratio\ =\ SWIR \space / \space NIR\)
SWIR = pixel values from the short-wave infrared band
NIR = pixel values from the near infrared band
For information about other multiband raster indexes, see the Band Arithmetic raster function.
The referenced raster dataset for the raster object is temporary. To make it permanent, you can call the raster object's save method.
Syntax
FerrousMinerals(raster, {swir_band_id}, {nir_band_id})
| Parameter | Explanation | Data Type |
|---|---|---|
|
raster |
The input raster. |
Raster |
|
swir_band_id |
The band ID of the shortwave infrared (SWIR) band. The band ID index uses one-based indexing. The default value is 6. |
Integer |
|
nir_band_id |
The band ID of the near-infrared band. The ID index uses one-based indexing. The default value is 5. |
Integer |
Return value
| Data Type | Explanation |
|---|---|
|
Raster |
The output raster object with the Ferrous Minerals ratio values. |
Code sample
Calculates the Ferrous Minerals ratio for a Sentinel-2 image.
import arcpy
FerrousMinerals_raster = arcpy.sa.FerrousMinerals("Sentinel2.tif", 11, 8)