MTVI2
Summary
Calculates the Modified Triangular Vegetation Index (MTVI2) from a multiband raster object and returns a raster object with the index values.
Discussion
The Modified Triangular Vegetation Index (MTVI2) method is a vegetation index for detecting leaf chlorophyll content at the canopy scale while being relatively insensitive to leaf area index. It uses reflectance in the green, red, and NIR bands.
\(MTVI2 \space = \space 1.5 * (1.2 \space * \space (NIR \space - \space Green) \space - \space 2.5 \space * \space (Red \space - \space Green))√((2 \space * \space NIR \space + \space 1)²-(6 \space * \space NIR \space - \space 5√(Red)) \space - \space 0.5)\)
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
MTVI2(raster, {nir_band_id}, {red_band_id}, {green_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 |
|
red_band_id |
The band ID of the red band. The ID index uses one-based indexing. The default value is 5. |
Integer |
|
green_band_id |
The band ID of the green band. The ID index uses one-based indexing. The default value is 3. |
Integer |
Return value
| Data Type | Explanation |
|---|---|
|
Raster |
The output raster object with the MTVI2 index values. |
Code sample
Calculates the Modified Triangular Vegetation Index for a Landsat 8 image.
import arcpy
MTVI2_raster = arcpy.ia.MTVI2("Landsat8.tif", 5, 4, 3)