Summary
Calculates the Green Vegetation Index for Landsat TM (GVITM) from a Landsat TM image and returns a raster object with the index values.
Discussion
The Green Vegetation Index (GVI) was originally designed from Landsat MSS imagery and has been modified for Landsat TM imagery. It's also known as the Landsat TM Tasseled Cap green vegetation index. It can be used with imagery whose bands share the same spectral characteristics.
GVI=-0.2848 * Band1 - 0.2435 * Band2 - 0.5436 * Band3 + 0.7243 * Band4 + 0.084 * Band5 - 1.18 * Band7For 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
GVITM (raster, {band1_id}, {band2_id}, {band3_id}, {band4_id}, {band5_id}, {band7_id})| Parameter | Explanation | Data Type |
raster | The input raster. | Raster |
band1_id | The band index of Band 1 from the Landsat TM image. The band ID index uses one-based indexing. (The default value is 1) | Integer |
band2_id | The band index of Band 2 from the Landsat TM image. The band ID index uses one-based indexing. (The default value is 2) | Integer |
band3_id | The band index of Band 3 from the Landsat TM image. The band ID index uses one-based indexing. (The default value is 3) | Integer |
band4_id | The band index of Band 4 from the Landsat TM image. The band ID index uses one-based indexing. (The default value is 4) | Integer |
band5_id | The band index of Band 5 from the Landsat TM image. The band ID index uses one-based indexing. (The default value is 5) | Integer |
band7_id | The band index of Band 7 from the Landsat TM image. The band ID index uses one-based indexing. (The default value is 7) | Integer |
| Data Type | Explanation |
| Raster | The output raster object with the Green Vegetation Index - Landsat TM values. |
Code sample
Calculates the Green Vegetation Index - Landsat TM for a Landsat TM image.
import arcpy
GVITM_raster = arcpy.sa.GVITM("LandsatTM.tif", 1, 2, 3, 4, 5, 7)