FerrousMinerals

Resumen

Calculates the Ferrous Minerals (FM) ratio from a multiband raster object and returns a raster object with the index values.

Debate

La relación de minerales ferrosos resalta los minerales que contienen hierro. Usa la relación entre las bandas SWIR y NIR.

Ratio de minerales ferrosos = SWIR / NIR
  • SWIR = valores de píxel de la banda infrarroja de onda corta
  • NIR = valores de píxel de la banda infrarroja cercana

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})
ParámetroExplicaciónTipo 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.

(El valor predeterminado es 6)

Integer
nir_band_id

The band ID of the near-infrared band. The ID index uses one-based indexing.

(El valor predeterminado es 5)

Integer
Valor de retorno
Tipo de datosExplicación
Raster

The output raster object with the Ferrous Minerals ratio values.

Muestra de código

FerrousMinerals example

Calculates the Ferrous Minerals ratio for a Sentinel-2 image.

import arcpy

FerrousMinerals_raster = arcpy.ia.FerrousMinerals("Sentinel2.tif", 11, 8)