rasterFunctionUtils

Creates a Contrast And Brightness function that enhances the appearance of raster data by modifying the brightness and contrast within the image. See Contrast And Brightness function.

Creates a Stretch function using min-max stretch type. Pixel values inside [min, max] defined in the band's statistics are stretched to [outputMin, outputMax], those fall outside are clamped to [outputMin, outputMax]. See Stretch function.

Creates a Stretch function using standard-deviation stretch type. Pixel values inside the defined number of standard deviations are stretched to [outputMin, outputMax], those fall outside are clamped to [outputMin, outputMax]. See Stretch function.

Creates a Stretch function using percent-clip stretch type. The input data must have histograms for it to work properly. See Stretch function.

Creates a Stretch function without a specific stretch method. Since output range can differ from pixel type's range, pixel values are projected to the output range linearly based on pixel type. For aerial or satellite imagery, it simply adjusts radiometric resolution and preserves DN values relatively. This is a no-op for all unsigned 8 bit images. See Stretch function.

Creates a Convolution function that performs filtering using the given kernel to enhance the image, e.g. sharpening an image, blurring an image, and detecting edges et al. See Convolution function.

Creates a NDVI function. The 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.

Equation: NDVI = ((NIR - Red)/(NIR + Red))

See NDVI function and NDVI.

Creates a Band Arithmetic function to calculate SAVI. The Soil-Adjusted Vegetation Index (SAVI) method is a vegetation index that attempts to minimize soil brightness influences using a soil-brightness correction factor. This is often used in arid regions where vegetative cover is low, and it outputs values between -1.0 and 1.0.

Equation: SAVI = ((NIR - Red) / (NIR + Red + L)) x (1 + L)

L = The amount of green vegetation cover

See SAVI raster function.

Creates a Band Arithmetic function to calculate TSAVI. 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. See TSAVI raster function.

Equation: TSAVI = (s * (NIR - s * Red - a)) / (a * NIR + Red - a * s + X * (1 + s * s)) s = the soil line slope a = the soil line intercept X = an adjustment factor that is set to minimize soil noise

Creates a Band Arithmetic function to calculate MSAVI. The Modified Soil Adjusted Vegetation Index (MSAVI) method minimizes the effect of bare soil on the SAVI. See MSAVI raster function.

Equation: MSAVI2 = 0.5 * ((2NIR+1)-sqrt((2NIR+1)(2NIR+1)-8(NIR-Red)))

Creates a Band Arithmetic function to calculate GEMI. The 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. See GEMI raster function.

Equation: GEMI = eta * (1 - 0.25 * eta)-((Red - 0.125)/(1 - Red)) eta = (2 * (NIR * NIR - Red * Red) + 1.5 * NIR + 0.5 * Red)/(NIR + Red + 0.5)

CCreates a Band Arithmetic function to calculate PVI. 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. See PVI raster function.

Equation: PVI = (NIR - a * Red - b) / (sqrt(1 + a*a)) a = slope of the soil line b = gradient of the soil line

Creates a Band Arithmetic function to calculate GVITM. The 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. See GVITM raster function.

Equation: GVI = -0.2848 * Band1 - 0.2435 * Band2 - 0.5436 * Band3 + 0.7243 * Band4 + 0.0840 * Band5 - 0.1800 * Band7

Creates a Band Arithmetic function to calculate Sultan index. Creates a BandArithmetic function. The Sultan's process takes a six-band 8-bit image and uses the Sultan's Formula method to produce a three-band 8-bit 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.

See Sultan raster function.

Creates a Band Arithmetic function to calculate VARI. The Visible Atmospherically Resistant Index (VARI) method is a vegetation index for estimating vegetation fraction quantitatively with only the visible range of the spectrum. See VARI raster function.

Equation: VARI = (Green - Red) / (Green + Red – Blue)

Creates a Band Arithmetic function to calculate GNDVI. The 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. See GNDVI raster function.

Equation: GNDVI = (NIR-Green)/(NIR+Green)

Creates a Band Arithmetic function to calculate SR. The 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. See SR raster function.

Equation: SR = NIR / Red

Creates a Band Arithmetic function to calculate NDVIre. The Red-Edge NDVI (NDVIre) method is a vegetation index for estimating vegetation health using the red-edge 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 within-field variability of nitrogen foliage to understand the fertilizer requirements of crops. See NDVIre raster function.

Equation: NDVIre = (NIR - RedEdge)/(NIR + RedEdge)

Creates a Band Arithmetic function to calculate SRre. The Red-Edge 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 red-edge bands, which reduces the effects of atmosphere and topography. See SRre raster function.

Equation: SRre = NIR / RedEdge

Creates a Band Arithmetic function to calculate MTVI2. The 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. See MTVI2 raster function.

Creates a Band Arithmetic function to calculate RTVICore. 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. See RTVICore raster function.

Equation: RTVICore = 100 * (NIR - RedEdge) - 10 * (NIR - Green)

Creates a Band Arithmetic function to calculate CIre. The Chlorophyll Index - Red-Edge (CIre) method is a vegetation index for estimating the chlorophyll content in leaves using the ratio of reflectivity in the NIR and red-edge bands. See CIre raster function.

Equation: CIre = (NIR / RedEdge)-1

Creates a Band Arithmetic function to calculate CIg. Chlorophyll 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. See CIg raster function.

Equation: CIg = (NIR / Green)-1

Creates a Band Arithmetic function to calculate NDWI. The 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.

Equation: NDWI = (Green - NIR) / (Green + NIR)

Creates a Band Arithmetic function to calculate EVI. The 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. See EVI raster function.

Equation: EVI = 2.5 * (NIR - Red) / (NIR + 6 * Red - 7.5 * Blue + 1)

Creates a Band Arithmetic function to calculate IronOxide. The Iron Oxide (ironOxide) ratio method is a geological index for identifying rock features that have experienced oxidation of iron-bearing 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. See IronOxide raster function.

Equation: IronOxide = Red / Blue

Creates a Band Arithmetic function to calculate FerrousMinerals. The Ferrous Minerals (ferrousMinerals) ratio method is a geological index for identifying rock features containing some quantity of iron-bearing minerals using the SWIR and NIR bands. It is used in mineral composite mapping. See FerrousMinerals raster function.

Equation: FM = SWIR / NIR

Creates a Band Arithmetic function to calculate ClayMinerals. The 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.

Equation: CM = SWIR1 / SWIR2

Creates a Band Arithmetic function to calculate WNDWI. The 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.

Equation: WNDWI = [Green – α * NIR – (1 – α) * SWIR ] / [Green + α * NIR + (1 – α) * SWIR]

where a is weighted coefficient ranging from 0 to 1.

Creates a Band Arithmetic function to calculate BAI. The 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.

Equation: BAI = 1/((0.1 -RED) * (0.1 -RED) + (0.06 - NIR) * (0.06 - NIR))

Creates a Band Arithmetic function to calculate NBR. The 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 NBR raster function.

Equation: NBR = (NIR - SWIR) / (NIR+ SWIR)

Creates a Band Arithmetic function to calculate NDBI. The Normalized Difference Built-up Index (NDBI) uses the NIR and SWIR bands to emphasize manufactured built-up areas. It is ratio based to mitigate the effects of terrain illumination differences as well as atmospheric effects. See NDBI raster function.

Equation: NDBI = (SWIR - NIR) / (SWIR + NIR)

Creates a Band Arithmetic function to calculate NDMI. The Normalized Difference Moisture Index (NDMI) is sensitive to the moisture levels in vegetation. It is used to monitor droughts and fuel levels in fire-prone areas. It uses NIR and SWIR bands to create a ratio designed to mitigate illumination and atmospheric effects. See NDMI raster function.

Equation: NDMI = (NIR - SWIR1)/(NIR + SWIR1)

Creates a Band Arithmetic function to calculate NDSI. The 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. See NDSI raster function.

Equation: NDSI = (Green - SWIR) / (Green + SWIR)

Creates a Band Arithmetic function to calculate MNDWI. The Modified Normalized Difference Water Index (MNDWI) uses green and SWIR bands for the enhancement of open water features. It also diminishes built-up area features that are often correlated with open water in other indices.

Equation: MNDWI = (Green - SWIR) / (Green + SWIR)

Creates a custom Band Arithmetic function. ser defined method. When using the user defined method to define your band arithmetic algorithm, you can enter a single-line algebraic formula to create a single-band output. The supported operators are -,+,/,*, and unary -. To identify the bands, add B or b to the beginning of the band number. See Band Arithmetic function.

equation: (b1 - b0) / (b1 + b0)

Since

ArcGIS Maps SDK for JavaScript 4.32

Creates a Compute Change function that analyzes changes between two rasters. Compute Change function.

See also

• Compute Change function

Since

ArcGIS Maps SDK for JavaScript 4.32

Creates a Threshold function that creates a binary output, with 1 representing high pixel values. It uses the Otsu method and the input image is assumed to have a bimodal histogram. See Binary Thresholding function.

See also

• Binary Thresholding function

Since

ArcGIS Maps SDK for JavaScript 4.29

Converts a multiband image into a single-band grayscale image. Specified weights are applied to each of the input bands, and normalization is applied to the output image. The weights are often applied because some bands have variable importance depending on the application. For example, the blue band often contains more noise than other bands.

Since

ArcGIS Maps SDK for JavaScript 4.32

Creates a Color Space Conversion function that converts the color model between the hue, saturation, and value (HSV) color space and red, green, and blue (RGB). Color Model Conversion function.

See also

• Color Model Conversion function

Since

ArcGIS Maps SDK for JavaScript 4.32

Creates a Spectral Conversion function that applies a matrix to a multiband image to affect the color values of the output. Each pixel of the output is the dot product of the conversion matrix and the raster pixel value vector. See Spectral Conversion function.

See also

• Spectral Conversion function

Since

ArcGIS Maps SDK for JavaScript 4.32

Creates a Tasseled Cap (Kauth-Thomas) transformation function to analyze and map vegetation phenomenology and urban development changes detected by various satellite sensor systems. See Tasseled Cap function.

See also

• Tasseled Cap function

Creates a Colormap function to define a colormap for a raster by specifying a corresponding color for each pixel value. See Colormap function.

Since

ArcGIS Maps SDK for JavaScript 4.31

Works with a single band image service that has an internal color map. It converts the image to a three-band 8-bit RGB raster. For more information, see Colormap To RGB function.

Creates a Statistics And Histogram function to define the statistics and histogram of a raster. See Statistics And Histogram function.

Creates an Attribute Table function to specify an attribute table for the input categorical raster. See Attribute Table function.

Creates an Extract Band function to extract one or more bands from a multiband raster. To use bandNames or bandWavelengths, the data source must have corresponding key properties information. See Extract Band function.

Since

ArcGIS Maps SDK for JavaScript 4.32

Creates a Color Composite function that produces a three-band raster from a multiband raster dataset in which each band can use an algebraic calculation based on band algebra. Create Color Composite function

See also

• Create Color Composite function

Creates a Composite Bands function to combine multiple inputs into one multiband raster. See Composite Bands function.

Creates a Remap function to change or reclassify the pixel values of the raster. See Remap function.

Since

ArcGIS Maps SDK for JavaScript 4.32

Creates a Transpose Bits function that unpacks the bits of the input pixel and maps them to specified bit locations in the output pixel. Use this function to manipulate multiple bit sequences from an input, such as the Landsat 8 quality band. See Transpose Bits function.

See also

• Transpose Bits function

Creates a Mask function to specify one or more NoData values, or a range of valid pixel values, to be removed from an output raster. See Mask function.

Since

ArcGIS Maps SDK for JavaScript 4.29

Extracts a portion of an image based on an Extent or a Polygon geometry. The clip output includes any pixels that intersect the clip geometry.

Creates a raster function that adds (sums) the values of two rasters on a pixel-by-pixel basis. See Plus function.

Creates a raster function that subtracts the value of the second input raster from the value of the first input raster on a pixel-by-pixel basis. See Minus function.

Creates a raster function that multiplies the values of two rasters on a pixel-by-pixel basis. See Times function.

Creates a raster function that calculates the square root of the pixel values in a raster. See Suqare Root function.

Creates a raster function that raises the pixel values in a raster to the power of the values found in another raster. See Power function.

Creates a raster function that calculates the inverse cosine of the pixels in a raster. See ACos function.