CIre

Summary

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

Discussion

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.

Syntax

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

Parameter	Explanation	Data Type
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

Return value

Data Type	Explanation
Raster	The output raster object with the CIre index values.

Code sample

CIre example

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

import arcpy

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