RTVICore
Resumen
Calculates the Red-Edge Triangulated Vegetation Index (RTVICore) from a multiband raster object and returns a raster object with the index values.
Debate
The Red-Edge Triangulated Vegetation Index (RTVICore) method is a vegetation index for estimating leaf area index and biomass. This index uses reflectance in the NIR, red-edge, and green spectral bands.
\(RTVICore \space = \space (100 * (NIR \space - \space RedEdge) \space - \space 10 * (NIR \space - \space Green))\)
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
RTVICore(raster, {nir_band_id}, {redEdge_band_id}, {green_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-edge band. The band ID index uses one-based indexing. The default value is 6. |
Integer |
|
green_band_id |
The band ID of the green band. The ID index uses one-based indexing. The default value is 3. |
Integer |
Valor de retorno
| Tipo de datos | Explicación |
|---|---|
|
Raster |
The output raster with the RTVICore index values. |
Muestra de código
Calculates the Red-Edge Triangulated Vegetation Index for a Sentinel-2 image.
import arcpy
RTVICore_raster = arcpy.sa.RTVICore("Sentinel2.tif",8,5,3)