Apply

Summary

Creates a raster object by applying a raster function or function chain to one or more input rasters.

Discussion

Use the Apply function to process one or more raster datasets using a raster function or function chain. This function creates a raster object that is the input raster object or objects with a raster function applied.

The referenced raster dataset for the output raster object is temporary. To make it permanent, you can call the raster object's save method.

Syntax

Apply (in_raster, raster_function, {raster_function_arguments})

Parameter	Explanation	Data Type
in_raster [in_raster,...]	The input raster dataset or datasets. The input can include the following: A single raster—For raster functions that require one raster input, and the raster function argument name for the raster input is Raster. For example, to apply the NDVI raster function to a raster object, the input would be raster_object. A collection of rasters in a tuple—For raster functions that require two or more raster inputs, and the raster function argument names for the raster inputs are Raster, Raster2, Raster3, etc. For example, to apply the Arithmetic raster function to perform a mathematical operation on two rasters, the input would be (raster_object_1,raster_object_2). An array of rasters in a list—For raster functions that require an array of raster inputs, and the raster function argument name for the inputs is Rasters. For example, to apply the Composite Bands raster function to combine three rasters into a single raster, the input would be [raster_object_1,raster_object_2,raster_object_3]. A dictionary with names and rasters—For raster functions that require a set of names raster inputs. For example, to apply the Heat Index raster function to calculate apparent temperature, the input would be ['temperature': raster_object_1,'rh': raster_object_2].	Raster
raster_function	The name of a raster function or the path to a custom raster function (.rft.xml file) to apply to the input.	String
raster_function_arguments	The parameters and values associated with the raster function or function chain. If not specified, and if applicable, default values will be used. For example, the Tasseled Cap raster function does not require any arguments; the input is a single raster, so there is no need to specify arguments. The Arithmetic raster function, however, requires 5 input parameters: Raster, Raster2, Operation, Cellsize Type and Extent Type. To use Arithmetic with the Apply function, Raster and Raster2 are defined in the in_raster parameter, and the remaining parameters have default values, so if nothing is specified for those parameters, the default values will be used. For information about the function arguments for each raster function, see Raster function objects.	Dictionary

Return Value

Data Type	Explanation
Raster	The output raster dataset with the function applied.

Code sample

Apply example 1

Apply NDVI, Arithmetic, and Composite Bands functions to one or more raster datasets.

# Apply NDVI, Arithmetic, and Composite Bands functions to one or more raster datasets.

import arcpy
from arcpy.ia import *

# Set input raster for NDVI
Landsat = Raster("Landsat8_1_12_18.tif") 

# Apply NDVI raster function to a single raster
out_NDVI_raster = Apply(Landsat, "NDVI", {'VisibleBandID':4,'InfraredBandID':5}) 

# Set input rasters for Arithmetic
DEM = Raster("DEM.tif")
Buildings = Raster("BuildingHeights.tif") 

# Apply Arithmetic raster function to add building height to ground elevation
out_Arithmetic_raster = Apply((DEM, Buildings),'Plus')

# Set input rasters for Composite Bands
Band1 = Raster("L8_MSB1.tif") 
Band2 = Raster("L8_MSB2.tif") 
Band3 = Raster("L8_MSB3.tif") 

# Apply Composite Bands function to combine three bands into a single raster
out_composite_rasters = Apply([Band1, Band2, Band3], 'CompositeBand')

Apply example 2

Apply the Heat Index function to two multidimensional raster subsets.

# Apply Heat Index function to multidimensional raster objects

import arcpy
from arcpy.ia import *

# Set input multidimensional raster dataset
in_raster = Raster("C:\\test.gdb\ClimateData", True) 

# Select the relative humidity variable
RH = Subset(ClimateData, variables = 'rh')

# Select the temperature variable
Temp = Subset(ClimateData, variables = 't')

# Apply the Heat Index function to the two multidimensional raster subsets
# The output is a multidimensional raster where each slice is the heat index for the slice's time
heat_index_raster= Apply({'temperature': Temp, 'rh': RH}, 'HeatIndex', {'units':'Kelvin', 'outUnits':'Fahrenheit'})