CIre

Resumen

Calculates the Red-Edge Chlorophyll Index (CIre) from a multiband raster object and returns a raster object with the index values.

Debate

The Chlorophyll Index - Red-Edge (CIre) method is a vegetation index for estimating the chlorophyll content in leaves using the ratio of reflectivity in the NIR and red-edge bands.

\(Clre \space = \space ((NIR \space / \space RedEdge) \space - \space 1)\)

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

CIre(raster, {nir_band_id}, {redEdge_band_id})

El parámetro	Explicación	Tipo de datos
raster	The input raster.	Raster
nir_band_id	The band ID of the near-infrared band. The ID index uses one-based indexing. The default value is 7.	Integer
redEdge_band_id	The band ID of the red band. The ID index uses one-based indexing. The default value is 6.	Integer

El parámetro

Explicación

Tipo de datos

raster

The input raster.

Raster

nir_band_id

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

The default value is 7.

Integer

redEdge_band_id

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

The default value is 6.

Integer

Valor de retorno

Tipo de datos	Explicación
Raster	The output raster object with the CIre index values.

Muestra de código

CIre example

Calculates the Chlorophyll Index - Red-Edge for a Sentinel-2 image.

import arcpy

CIre_raster = arcpy.sa.CIre("Sentinel2.tif", 8, 5)