require(["esri/layers/support/rasterFunctionConstants"], (rasterFunctionConstants) => { /* code goes here */ });
import * as rasterFunctionConstants from "@arcgis/core/layers/support/rasterFunctionConstants.js";
esri/layers/support/rasterFunctionConstants
Various constant values used by different raster functions when setting ImageryTileLayer.rasterFunction or ImageryLayer.rasterFunction properties.
Property Overview
Name  Type  Summary  Object 

Object  Method name constants used by the band index raster functions. more details  rasterFunctionConstants  
Object  The local cell statistics operations type constants. more details  rasterFunctionConstants  
Object  Predefined raster color map name constants used for the Colormap raster function. more details  rasterFunctionConstants  
Object  Predefined raster color ramp name constants used for the Colormap raster function. more details  rasterFunctionConstants  
Object  Kernel type constants used for the Convolution raster function. more details  rasterFunctionConstants  
Object  The local arithmetic operations types. more details  rasterFunctionConstants  
Object  The local conditional operations type constants. more details  rasterFunctionConstants  
Object  The local logical operations type constants. more details  rasterFunctionConstants  
Object  The local trigonometric operations type constants. more details  rasterFunctionConstants  
Object  The missing band action constants available for the Extract band raster function. more details  rasterFunctionConstants  
Object  The NoData interpretation constants used for the Mask raster function. more details  rasterFunctionConstants  
Object  Slope type constants used for the slope raster function. more details  rasterFunctionConstants  
Object  Stretch type constants used for the stretch raster function. more details  rasterFunctionConstants 
Property Details

bandIndexType Objectreadonly

Method name constants used by the band index raster functions.
 Properties

userDefined Number
User defined method. When using the user defined method to define your band arithmetic algorithm, you can enter a singleline algebraic formula to create a singleband output. The supported operators are ,+,/,*, and unary . To identify the bands, add B or b to the beginning of the band number.
NDVI NumberThe Normalized Difference Vegetation Index (NDVI) method is a standardized index allowing you to generate an image displaying greenness (relative biomass). This index takes advantage of the contrast of the characteristics of two bands from a multispectral raster dataset—the chlorophyll pigment absorptions in the red band and the high reflectivity of plant materials in the NIR band.
NDVIRe NumberThe RedEdge NDVI (NDVIre) method is a vegetation index for estimating vegetation health using the rededge band. It is especially useful for estimating crop health in the mid to late stages of growth, when the chlorophyll concentration is relatively higher. Also, NDVIre can be used to map the withinfield variability of nitrogen foliage to understand the fertilizer requirements of crops.
BAI NumberThe Burn Area Index (BAI) uses the reflectance values in the red and NIR portion of the spectrum to identify the areas of the terrain affected by fire. See BAI raster function.
NBR NumberThe Normalized Burn Ratio Index (NBRI) uses the NIR and SWIR bands to emphasize burned areas, while mitigating illumination and atmospheric effects. Your images should be corrected to reflectance values before using this index. See NRB raster function.
NDBI NumberThe Normalized Difference Builtup Index (NDBI) uses the NIR and SWIR bands to emphasize manufactured builtup areas. It is ratio based to mitigate the effects of terrain illumination differences as well as atmospheric effects. NDBI raster function.
NDMI NumberThe Normalized Difference Moisture Index (NDMI) is sensitive to the moisture levels in vegetation. It is used to monitor droughts and fuel levels in fireprone areas. It uses NIR and SWIR bands to create a ratio designed to mitigate illumination and atmospheric effects. NDMI raster function.
NDSI NumberThe Normalized Difference Snow Index (NDSI) is designed to use MODIS (band 4 and band 6) and Landsat TM (band 2 and band 5) for identification of snow cover while ignoring cloud cover. Since it is ratio based, it also mitigates atmospheric effects. NDSI raster function.
GEMI NumberThe Global Environmental Monitoring Index (GEMI) method is a nonlinear vegetation index for global environmental monitoring from satellite imagery. It's similar to NDVI, but it's less sensitive to atmospheric effects. It is affected by bare soil; therefore, it's not recommended for use in areas of sparse or moderately dense vegetation.
GVITM NumberThe Green Vegetation Index (GVI) method 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.
PVI StringThe Perpendicular Vegetation Index (PVI) method is similar to a difference vegetation index; however, it is sensitive to atmospheric variations. When using this method to compare images, it should only be used on images that have been atmospherically corrected.
Sultan NumberThe Sultan's process takes a sixband 8bit image and uses the Sultan's Formula method to produce a threeband 8bit image. The resulting image highlights rock formations called ophiolites on coastlines. This formula was designed based on the TM or ETM bands of a Landsat 5 or 7 scene.
VARI NumberThe Visible Atmospherically Resistant Index (VARI) method is a vegetation index for estimating vegetation fraction quantitatively with only the visible range of the spectrum.
GNDVI NumberThe Green Normalized Difference Vegetation Index (GNDVI) method is a vegetation index for estimating photo synthetic activity and is a commonly used vegetation index to determine water and nitrogen uptake into the plant canopy.
SAVI NumberThe SoilAdjusted Vegetation Index (SAVI) method is a vegetation index that attempts to minimize soil brightness influences using a soilbrightness correction factor. This is often used in arid regions where vegetative cover is low, and it outputs values between 1.0 and 1.0.
TSAVI NumberThe 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.
MSAVI NumberThe Modified Soil Adjusted Vegetation Index (MSAVI) method minimizes the effect of bare soil on the SAVI.
SR NumberThe Simple Ratio (SR) method is a common vegetation index for estimating the amount of vegetation. It is the ratio of light scattered in the NIR and absorbed in red bands, which reduces the effects of atmosphere and topography.
SRRe NumberThe RedEdge Simple Ratio (SRre) method is a vegetation index for estimating the amount of healthy and stressed vegetation. It is the ratio of light scattered in the NIR and rededge bands, which reduces the effects of atmosphere and topography.
MTVI2 NumberThe 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.
RTVICore NumberThe RedEdge Triangulated Vegetation Index (RTVICore) method is a vegetation index for estimating leaf area index and biomass. This index uses reflectance in the NIR, rededge, and green spectral bands.
CIRe NumberThe Chlorophyll Index  RedEdge (CIre) method is a vegetation index for estimating the chlorophyll content in leaves using the ratio of reflectivity in the NIR and rededge bands.
CIG NumberChlorophyll index  Green (CIG) method is a vegetation index for estimating the chlorophyll content in leaves using the ratio of reflectivity in the NIR and green bands.
EVI NumberThe Enhanced Vegetation Index (EVI) method is an optimized vegetation index that accounts for atmospheric influences and vegetation background signal. It's similar to NDVI but is less sensitive to background and atmospheric noise, and it does not become as saturated as NDVI when viewing areas with very dense green vegetation. EVI raster function.
ironOxide NumberThe Iron Oxide (ironOxide) ratio method is a geological index for identifying rock features that have experienced oxidation of ironbearing sulfides using the red and blue bands. It is useful in identifying iron oxide features below vegetation canopies and is used in mineral composite mapping. ironOxide raster function.
ferrousMinerals NumberThe Ferrous Minerals (ferrousMinerals) ratio method is a geological index for identifying rock features containing some quantity of ironbearing minerals using the SWIR and NIR bands. It is used in mineral composite mapping. ferrousMinerals raster function.
clayMinerals NumberThe Clay Minerals (clayMinerals) ratio method is a geological index for identifying mineral features containing clay and alunite using two shortwave infrared (SWIR) bands. It is used in mineral composite mapping. See clayMinerals raster function.
NDWI NumberThe Normalized Difference Water Index (NDWI) method is an index for delineating and monitoring content changes in surface water. It is computed with the NIR and green bands. See NDWI raster function.
WNDWI NumberThe Weighted Normalized Difference Water Index (WNDWI) method is a water index developed to reduce errors typically encountered in other water indices, including water turbidity, small water bodies, or shadow in remote sensing scenes.
MNDWI NumberThe Modified Normalized Difference Water Index (MNDWI) uses green and SWIR bands for the enhancement of open water features. It also diminishes builtup area features that are often correlated with open water in other indices.

cellStatisticalOperation Objectreadonly

The local cell statistics operations type constants. This function calculates a statistic on a pixelbypixel basis. Refer to the Local raster functions for more info.
 Properties

majority Number
Determines the majority (value that occurs most often) of the inputs.
max NumberDetermines the maximum (largest value) of the inputs.
mean NumberDetermines the mean (average value) of the inputs.
med NumberCalculates the median of the inputs.
min NumberDetermines the minimum (smallest value) of the inputs.
minority NumberDetermines the minority (value that occurs least often) of the inputs.
range NumberCalculates the range (difference between largest and smallest value) of the inputs.
stddev NumberCalculates the standard deviation of the inputs.
sum NumberCalculates the sum (total of all values) of the inputs.
variety NumberCalculates the variety (number of unique values) of the inputs.
majorityIgnoreNoData NumberDetermines the majority (value that occurs most often) of the inputs. Only cells that have data values will be used in determining the statistic value.
maxIgnoreNoData NumberDetermines the maximum (largest value) of the inputs. Only cells that have data values will be used in determining the statistic value.
meanIgnoreNoData NumberDetermines the mean (average value) of the inputs. Only cells that have data values will be used in determining the statistic value.
medIgnoreNoData NumberDetermines the median of the inputs. Only cells that have data values will be used in determining the statistic value.
minIgnoreNoData NumberDetermines the minimum (smallest value) of the inputs. Only cells that have data values will be used in determining the statistic value.
minorityIgnoreNoData NumberDetermines the minority (value that occurs least often) of the inputs. Only cells that have data values will be used in determining the statistic value.
rangeIgnoreNoData NumberCalculates the range (difference between largest and smallest value) of the inputs. Only cells that have data values will be used in determining the statistic value.
stddevIgnoreNoData NumberCalculates the standard deviation of the inputs. Only cells that have data values will be used in determining the statistic value.
sumIgnoreNoData NumberCalculates the sum (total of all values) of the inputs. Only cells that have data values will be used in determining the statistic value.
varietyIgnoreNoData NumberCalculates the variety (number of unique values) of the inputs. Only cells that have data values will be used in determining the statistic value.

colormapName Objectreadonly

Predefined raster color map name constants used for the Colormap raster function.
 Properties

random String
A random colormap.
NDVI Stringcolormap to visualize vegetation. Values near zero are blue. Low values are brown. Then the colors gradually change from red. to orange. to yellow. to green. and to black as the vegetation index goes from low to high.
NDVI2 StringA colormap to visualize vegetation. Low values range from white to green. Then the colors range from gray. to purple. to violet. to dark blue. and to black as the vegetation index goes from low to high.
NDVI3 StringA colormap to visualize vegetation. Values near zero are blue. Then the colors gradually change from red. to orange. and to green as the vegetation index goes from low to high.
elevation StringA color map that gradually changes from cyan to purple to black.
gray StringA color map that gradually changes from black to white.
hillshade StringA colormap to visualize a hillshade product. It has a color scheme that gradually changes from black to white depending on topography.

colorRampName Objectreadonly

Predefined raster color ramp name constants used for the Colormap raster function.
 Properties

aspect String
Aspect.
blackToWhite StringBlack to White.
blueBright StringBlue Bright.
blueLightToDark StringBlue Light to Dark.
blueGreenBright StringBlueGreen Bright.
blueGreenLightToDark StringBlueGreen Light to Dark.
brownLightToDark StringBrown Light to Dark.
brownToBlueGreenDivergingBright StringBrown to Blue Green Diverging. Bright.
brownToBlueGreenDivergingDark StringBrown to Blue Green Diverging. Dark.
coefficientBias StringCoefficient Bias.
coldToHotDiverging StringCold to Hot Diverging.
conditionNumber StringCondition Number.
cyanToPurple StringCyan to Purple.
cyanLightToBlueDark StringCyanLight to BlueDark.
distance StringDistance.
elevation1 StringElevation #1.
elevation2 StringElevation #2.
errors StringErrors.
grayLightToDark StringGray Light to Dark.
greenBright StringGreen Bright.
greenLightToDark StringGreen Light to Dark.
greenToBlue StringGreen to Blue.
orangeBright StringOrange Bright.
orangeLightToDark StringOrange Light to Dark.
partialSpectrum StringPartial Spectrum.
partialSpectrum1Diverging StringPartial Spectrum 1 Diverging.
partialSpectrum2Diverging StringPartial Spectrum 2 Diverging.
pinkToYellowGreenDivergingBright StringPink to YellowGreen Diverging. Bright.
pinkToYellowGreenDivergingDark StringPink to YellowGreen Diverging. Dark.
precipitation StringPrecipitation.
prediction StringPrediction.
purpleBright StringPurple Bright.
purpleToGreenDivergingBright StringPurple to Green Diverging. Bright.
purpleToGreenDivergingDark StringPurple to Green Diverging. Dark.
purpleBlueBright StringPurpleBlue Bright.
purpleBlueLightToDark StringPurpleBlue Light to Dark.
purpleRedBright StringPurpleRed Bright.
purpleRedLightToDark StringPurpleRed Light to Dark.
redBright StringRed Bright.
redLightToDark StringRed Light to Dark.
redToBlueDivergingBright StringRed to Blue Diverging. Bright.
redToBlueDivergingDark StringRed to Blue Diverging. Dark.
redToGreen StringRed to Green.
redToGreenDivergingBright StringRed to Green Diverging. Bright.
redToGreenDivergingDark StringRed to Green Diverging. Dark.
slope StringSlope.
spectrumFullBright StringSpectrumFull Bright.
spectrumFullDark StringSpectrumFull Dark.
spectrumFullLight StringSpectrumFull Light.
surface StringSurface.
temperature StringTemperature.
whiteToBlack StringWhite to Black.
yellowToDarkRed StringYellow to Dark Red.
yellowToGreenToDarkBlue StringYellow to Green to Dark Blue.
yellowToRed StringYellow to Red.
yellowGreenBright StringYellowGreen Bright.
yellowGreenLightToDark StringYellowGreen Light to Dark.

convolutionKernel Objectreadonly

Kernel type constants used for the Convolution raster function. Gradient filters can be used for edge detection in 45 degree increments. Laplacian filters are often used for edge detection. They are often applied to an image that has first been smoothed to reduce its sensitivity to noise. Line detection filters. like the gradient filters. can be used to perform edge detection. The Sobel filter is used for edge detection.
 Properties

userDefined Number
User defined kernel type.
lineDetectionHorizontal NumberHorizontal line detection. Line detection filters. like the gradient filters. can be used to perform edge detection.
lineDetectionVertical NumberVertical line detection. Line detection filters. like the gradient filters. can be used to perform edge detection.
lineDetectionLeftDiagonal NumberLeft diagonal line detection. Line detection filters. like the gradient filters. can be used to perform edge detection.
lineDetectionRightDiagonal NumberRight diagonal line detection. Line detection filters. like the gradient filters. can be used to perform edge detection.
gradientNorth NumberNorth gradient detection. Gradient filters can be used for edge detection in 45 degree increments.
gradientWest NumberWest gradient detection. Gradient filters can be used for edge detection in 45 degree increments.
gradientEast NumberEast gradient detection. Gradient filters can be used for edge detection in 45 degree increments.
gradientSouth NumberSouth gradient detection. Gradient filters can be used for edge detection in 45 degree increments.
gradientNorthEast NumberNorth east gradient detection. Gradient filters can be used for edge detection in 45 degree increments.
gradientNorthWest NumberNorth west gradient detection. Gradient filters can be used for edge detection in 45 degree increments.
smoothArithmeticMean NumberSmooths the data by reducing local variation and removing noise. Calculates the average (mean) value for each neighborhood. The effect is that the high and low values within each neighborhood are averaged out. reducing the extreme values in the data.
smoothing3x3 NumberSmooths (lowpass) the data by reducing local variation and removing noise. Calculates the average (mean) value for each neighborhood. The effect is that the high and low values within each neighborhood are averaged out. reducing the extreme values in the data.
smoothing5x5 NumberSmooths (lowpass) the data by reducing local variation and removing noise. Calculates the average (mean) value for each neighborhood. The effect is that the high and low values within each neighborhood are averaged out. reducing the extreme values in the data.
sharpen NumberSharpens the date by calculating the focal sum statistic for each cell of the input using a weighted kernel neighborhood. It brings out the boundaries between features (for example. where a water body meets the forest). thus sharpening edges between objects.
sharpen2 NumberSharpens the date by calculating the focal sum statistic for each cell of the input using a weighted kernel neighborhood. It brings out the boundaries between features (for example. where a water body meets the forest). thus sharpening edges between objects.
sharpening3x3 NumberSharpens the date by calculating the focal sum statistic for each cell of the input using a weighted kernel neighborhood. It brings out the boundaries between features (for example. where a water body meets the forest). thus sharpening edges between objects.
sharpening5x5 NumberSharpens the date by calculating the focal sum statistic for each cell of the input using a weighted kernel neighborhood. It brings out the boundaries between features (for example. where a water body meets the forest). thus sharpening edges between objects.
laplacian3x3 NumberLaplacian filters are often used for edge detection. They are often applied to an image that has first been smoothed to reduce its sensitivity to noise.
laplacian5x5 NumberLaplacian filters are often used for edge detection. They are often applied to an image that has first been smoothed to reduce its sensitivity to noise.
sobelHorizontal NumberThe horizontal Sobel filter is used for edge detection.
sobelVertical NumberThe vertical Sobel filter is used for edge detection.
pointSpread NumberThe point spread function portrays the distribution of light from a point source through a lense. This will introduce a slight blurring effect.
none NumberNo kernel type is specified.

localArithmeticOperation Object

The local arithmetic operations types. Refer to the Local raster functions for more info.
 Properties

plus Number
Adds (sums) the values of two rasters on a cellbycell basis.
minus NumberSubtracts the value of the second input raster from the value of the first input raster on a cellbycell basis.
times NumberMultiplies the values of two rasters on a cellbycell basis.
sqrt NumberCalculates the square root of the cell values in a raster.
power NumberRaises the cell values in a raster to the power of the values found in another raster.
abs NumberCalculates the absolute value of the cells in a raster.
divide NumberDivides the values of two rasters on a cellbycell basis.
exp NumberCalculates the base e exponential of the cells in a raster.
exp10 NumberCalculates the base 10 exponential of the cells in a raster.
exp2 NumberCalculates the base 2 exponential of the cells in a raster.
int NumberConverts each cell value of a raster to an integer by truncation.
float NumberConverts each cell value of a raster into a floatingpoint representation.
ln NumberCalculates the natural logarithm (base e) of cells in a raster.
log10 NumberCalculates the base 10 logarithm of cells in a raster.
log2 NumberCalculates the base 2 logarithm of cells in a raster.
mod NumberFinds the remainder (modulo) of the first raster when divided by the second raster on a cellbycell basis.
negate NumberChanges the sign (multiplies by 1) of the cell values of the input raster on a cellbycell basis.
roundDown NumberReturns the next lower integer value. just represented as a floating point. for each cell in a raster.
roundUp NumberReturns the next higher integer value. just represented as a floating point. for each cell in a raster.
square NumberCalculates the square of the cell values in a raster.

localConditionalOperation Objectreadonly

The local conditional operations type constants. Refer to the Local raster functions for more info.
 Properties

setNull Number
Set Null sets identified cell locations to NoData based on a specified criteria. It returns NoData if a conditional evaluation is true, and returns the value specified by another raster if it is false.
conditional NumberPerforms a conditional If, Then, Else operation. When a Con operator is used, there usually needs to be two or more local functions chained together, where one local function states the criteria and the second local function is the Con operator which uses the criteria and dictates what the true and false outputs should be.

localLogicalOperation Objectreadonly

The local logical operations type constants. Refer to the Local raster functions for more info.
 Properties

bitwiseAnd Number
Performs a Bitwise And operation on the binary values of two input rasters.
bitwiseLeftShift NumberPerforms a Bitwise Left Shift operation on the binary values of two input rasters.
bitwiseNot NumberPerforms a Bitwise Not (complement) operation on the binary value of an input raster.
bitwiseOr NumberPerforms a Bitwise Or operation on the binary values of two input rasters.
bitwiseRightShift NumberPerforms a Bitwise Right Shift operation on the binary values of two input rasters.
bitwiseXOr NumberPerforms a Bitwise eXclusive Or operation on the binary values of two input rasters.
booleanAnd NumberPerforms a Boolean And operation on the cell values of two input rasters.
booleanNot NumberPerforms a Boolean Not (complement) operation on the cell values of the input raster.
booleanOr NumberPerforms a Boolean Or operation on the cell values of two input rasters.
booleanXOr NumberPerforms a Boolean eXclusive Or operation on the cell values of two input rasters.
equalTo NumberPerforms a Relational equalto operation on two inputs on a cellbycell basis.
greaterThan NumberPerforms a Relational greaterthan operation on two inputs on a cellbycell basis.
greaterThanEqual NumberPerforms a Relational greaterthanorequalto operation on two inputs on a cellbycell basis.
lessThan NumberPerforms a Relational lessthan operation on two inputs on a cellbycell basis.
lessThanEqual NumberPerforms a Relational lessthanorequalto operation on two inputs on a cellbycell basis.
isNull NumberDetermines which values from the input raster are NoData on a cellbycell basis.
notEqual NumberPerforms a Relational notequalto operation on two inputs on a cellbycell basis.

localTrigonometricOperation Objectreadonly

The local trigonometric operations type constants. Refer to the Local raster functions for more info.
 Properties

acos Number
Calculates the inverse cosine of cells in a raster.
asin NumberCalculates the inverse sine of cells in a raster.
atan NumberCalculates the inverse tangent of cells in a raster.
atanh NumberCalculates the inverse hyperbolic tangent of cells in a raster.
cos NumberCalculates the cosine of cells in a raster.
cosh NumberCalculates the hyperbolic cosine of cells in a raster.
sin NumberCalculates the sine of cells in a raster.
sinh NumberCalculates the hyperbolic sine of cells in a raster.
tan NumberCalculates the tangent of cells in a raster.
tanh NumberCalculates the hyperbolic tangent of cells in a raster.
acosh NumberCalculates the inverse hyperbolic cosine of cells in a raster.
asinh NumberCalculates the inverse hyperbolic sine of cells in a raster.
atan2 NumberCalculates the inverse tangent (based on x,y) of cells in a raster.

missingBandAction Objectreadonly

The missing band action constants available for the Extract band raster function.

noDataInterpretation Objectreadonly

The NoData interpretation constants used for the Mask raster function. This refers to how NoData Values will impact the output image.

slopeType Objectreadonly

Slope type constants used for the slope raster function.
 Properties

degree Number
The inclination of slope is calculated in degrees. The values range from 0 to 90.
percentRise NumberThe inclination of slope is calculated as percentage values. The values range from 0 to infinity. A flat surface is 0 percent rise. whereas a 45degree surface is 100 percent rise. As the surface becomes more vertical. the percent rise becomes increasingly larger.
adjusted NumberThe inclination of slope is calculated the same as DEGREE. but the zfactor is adjusted for scale. It uses the Pixel Size Power (PSP) and Pixel Size Factor (PSF) values. which account for the resolution changes (scale) as the viewer zooms in and out.

stretchType Objectreadonly

Stretch type constants used for the stretch raster function.
 Properties

none Number
If the stretch type is None. no stretch method will be applied. even if statistics exist.
standardDeviation NumberThe standard deviation stretch type applies a linear stretch between the values defined by the standard deviation (n) value.
histogramEqualization NumberThe histogram equalization stretch type.
minMax NumberThe minMax stretch type applies a linear stretch based on the output minimum and output maximum pixel values. which are used as the endpoints for the histogram.
percentClip NumberThe percent clip stretch type applies a linear stretch between the defined percent clip minimum and percent clip maximum pixel values.
sigmoid NumberThe Sigmoid contrast stretch is designed to highlight moderate pixel values in your imagery while maintaining sufficient contrast at the extremes.