FerrousMinerals
Resumen
Calculates the Ferrous Minerals (FM) ratio from a multiband raster object and returns a raster object with the index values.
Debate
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.
Sintaxis
FerrousMinerals(raster, {swir_band_id}, {nir_band_id})
| El parámetro | Explicación | Tipo de datos |
|---|---|---|
|
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 |
Valor de retorno
| Tipo de datos | Explicación |
|---|---|
|
Raster |
The output raster object with the Ferrous Minerals ratio values. |
Muestra de código
Calculates the Ferrous Minerals ratio for a Sentinel-2 image.
import arcpy
FerrousMinerals_raster = arcpy.sa.FerrousMinerals("Sentinel2.tif", 11, 8)