Summary
Calculates the Transformed Soil Adjusted Vegetation Index (TSAVI) from a multiband raster object and returns a raster object with the index values.
Discussion
The Transformed Soil Adjusted Vegetation Index (TSAVI) method is a vegetation index that minimizes soil brightness influences by assuming the soil line has an arbitrary slope and intercept.
TSAVI = (s *(NIR - s * Red - a)) / (a * NIR + Red - a * s + X * (1 + s2))
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
TSAVI (raster, {nir_band_id}, {red_band_id}, {s}, {a}, {X})
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 4) | Integer |
red_band_id | The band ID of the red band. The ID index uses one-based indexing. (The default value is 3) | Integer |
s | The slope of the soil line. (The default value is 0.33) | Double |
a | The soil line intercept. (The default value is 0.5) | Double |
X | The adjustment factor that is set to minimize soil noise. (The default value is 1.5) | Double |
Data Type | Explanation |
Raster | The output raster with the TSAVI values. |
Code sample
Calculates the Transformed Soil Adjusted Vegetation Index for a Landsat 8 image.
import arcpy
TSAVI_raster = arcpy.sa.TSAVI("Landsat8.tif",5,4,0.33,0.5,1.5)