Raster

No features match your search.

• Abs

  wasm

  Calculates the absolute value of each raster cell.

• Aggregate Raster

  wasm

  Reduces raster resolution by aggregating blocks of cells.

• Analyze Changes Using CCDC

  wasm

  Detects temporal changes in raster imagery using the CCDC method.

• ANOVA

  wasm

  Evaluates statistical differences between multiple series or layers using ANOVA.

• Arccos

  wasm

  Calculates the arccosine of each cell value in a raster.

• Arcosh

  wasm

  Calculates the inverse hyperbolic cosine of each raster cell.

• Arcsin

  wasm

  Calculates the arcsine of each cell value in a raster.

• Arctan

  wasm

  Calculates the arctangent of each cell value in a raster.

• Arsinh

  wasm

  Calculates the inverse hyperbolic sine of each raster cell.

• Artanh

  wasm

  Calculates the inverse hyperbolic tangent of each raster cell.

• Atan2

  wasm

  Calculates the arctangent angle from two rasters.

• Band Collection Statistics

  wasm

  Summarizes raster values using band collection statistics.

• Block Maximum

  wasm

  Calculates the maximum of each block of cells in a raster.

• Block Minimum

  wasm

  Calculates the minimum of each block of cells in a raster.

• Block Statistics

  wasm

  Summarizes raster values using block statistics.

• Boundary Clean

  wasm

  Cleans irregular boundaries between raster classes using neighborhood majority operations.

• Boundary Shape Complexity

  wasm

  Calculates boundary shape complexity on a raster.

• Ceil

  wasm

  Rounds up each decimal value in the input raster layer.

• Cell Statistics

  wasm

  Summarizes raster values using cell statistics.

• Centroid Raster

  wasm

  Marks the centroid cell of each raster region.

• Classification Accuracy Assessment

  wasm

  Compares a raster classification against reference data and calculates per-class accuracy measures.

• Clip Raster To Polygon

  wasm

  Clips a raster to the exact extent of a mask polygon.

• Clump

  wasm

  Calculates groupings of contiguous cells on a raster.

• Combine

  wasm

  Combines categories from multiple rasters into a raster of unique combinations.

• Contour With Barriers

  wasm

  Generates contour lines without crossing barriers that interrupt interpolation.

• Corridor

  wasm

  Identifies least-cost accumulated corridors between two distance surfaces.

• Cos

  wasm

  Calculates the trigonometric cosine of each cell value in the raster.

• Cosh

  wasm

  Calculates the hyperbolic cosine of each raster cell.

• Create Plane

  wasm

  Generates a flat raster with defined gradient, orientation, and constant, using a base raster for extent and resolution.

• Crispness Index

  wasm

  Quantifies the crispness of a probability image to assess separation between fuzzy classes.

• Cross Tabulation

  wasm

  Counts value combinations of two categorical rasters in a cross-tabulation table.

• Cumulative Distribution

  wasm

  Calculates for each cell the cumulative probability of its raster value.

• Cut Fill

  wasm

  Calculates cut and fill volumes between surfaces over a raster.

• Darcy Flow

  wasm

  Models groundwater flow using Darcy's law.

• DBSCAN

  wasm

  Clusters dense cells or points with DBSCAN and separates noise features.

• Decrement

  wasm

  Subtracts one unit from each valid cell of the input raster.

• DEM Filter

  wasm

  Filters a digital elevation model to highlight specific terrain features.

• Detect Image Anomalies

  wasm

  Detects pixels with values unusual relative to their neighborhood or image distribution.

• Diffusion Interpolation With Barriers

  wasm

  Generates an interpolated surface using diffusion with barriers.

• Edge Proportion

  wasm

  Calculates the proportion of edge cells within a raster neighborhood.

• Empirical Bayesian Kriging

  wasm

  Interpolates a surface incorporating estimated uncertainty and spatial variation via empirical Bayesian kriging.

• Equal To

  wasm

  Compares two rasters and marks cells with equal values.

• Erase Polygon From Raster

  wasm

  Assigns NoData to cells covered by input polygons.

• Euclidean Direction

  wasm

  Calculates for each cell the direction to the nearest Euclidean source.

• Exp

  wasm

  Raises the constant e to each cell value of the input raster.

• Exp2

  wasm

  Calculates two raised to each cell value over a raster.

• Expand / Shrink

  wasm

  Expands or shrinks categorical zones by a specified cell distance.

• Extract COG Subset

  wasm

  Extracts requested extents or bands from a COG and produces a reduced raster for the area of interest.

• Extract WMS Subset

  wasm

  Downloads a requested extent from a WMS service as a raster for analysis.

• Extract XYZ Tile Subset

  wasm

  Assembles XYZ tiles covering the requested extent into an output raster.

• FFT Random Field

  wasm

  Generates a structured random field using a fast Fourier transform.

• Filter Raster Features By Area

  wasm

  Removes raster regions whose area does not meet the specified threshold.

• Find Argument Statistics

  wasm

  Returns the position of the layer containing the requested statistic for each cell.

• Find Patch Edge Cells

  wasm

  Marks cells located on the edge of raster patches or classes.

• Floor

  wasm

  Rounds down decimal values of each raster cell.

• Focal Flow

  wasm

  Models local flow movement between cells based on a defined neighborhood.

• Focal Statistics

  wasm

  Summarizes raster values using focal statistics.

• Fuzzy Overlay

  wasm

  Combines rasters through fuzzy overlay and outputs a raster of calculated values.

• Gaussian Geostatistical Simulations

  wasm

  Generates Gaussian realizations honoring the specified spatial variability model.

• Generate Multidimensional Anomaly

  wasm

  Calculates the anomaly of each slice of a multidimensional raster against its temporal reference.

• Generate Trend Raster

  wasm

  Fits linear, harmonic, or polynomial trends per pixel along a dimension of a multidimensional raster.

• Greater Than

  wasm

  Compares two rasters and marks cells where the first is greater.

• GreaterThanOrEqualTo

  wasm

  Compares two rasters and marks cells where the first is greater or equal.

• Heat Map

  wasm

  Estimates a density surface using a kernel around features.

• IDW 3D

  wasm

  Interpolates a 3D surface weighting observations by inverse distance.

• IDW Interpolation

  wasm

  Interpolates a surface weighting nearby points by inverse distance.

• Image Autocorrelation

  wasm

  Measures spatial autocorrelation of values within a raster image.

• Image Correlation

  wasm

  Computes correlation between values of two coincident raster images.

• Image Regression

  wasm

  Fits a regression between bands or images and outputs the estimated raster.

• Increment

  wasm

  Adds one unit to each raster cell and updates its values.

• Inplace Add

  wasm

  Adds values to an existing raster cell by cell and updates the same file.

• Inplace Divide

  wasm

  Divides original raster values and saves the result to the same file.

• Inplace Multiply

  wasm

  Multiplies an existing raster by another raster or constant and updates the same file.

• Inplace Subtract

  wasm

  Subtracts one raster from another and overwrites the target raster file.

• Integer Division

  wasm

  Divides two rasters' values keeping only the integer quotient.

• Interpolate From Spatiotemporal Points

  wasm

  Interpolates values from points with spatial and temporal coordinates into a surface.

• Interpolate With Barriers

  wasm

  Interpolates values from points while honoring barriers that block propagation between zones.

• Inverse PCA

  wasm

  Reconstructs raster bands from their inverse principal components.

• Is NoData

  wasm

  Flags cells containing NoData to locate gaps in raster coverage.

• Kappa Index

  wasm

  Evaluates agreement between observed and reference classifications using the kappa index.

• Kernel Density Ratio

  wasm

  Computes kernel density ratio on a raster.

• Kernel Interpolation With Barriers

  wasm

  Generates an interpolated surface via kernel interpolation with barriers.

• KS Normality Test

  wasm

  Tests whether value distribution fits a normal distribution using the KS test.

• LandTrendr

  wasm

  Detects temporal changes in image time series using LandTrendr.

• LAS Height Metrics

  wasm

  Summarizes height distribution of a LiDAR point cloud with statistical metrics.

• Less Than

  wasm

  Compares two rasters and flags cells where the first is less than the second.

• Less Than Or Equal To

  wasm

  Compares two rasters and flags cells where the first is less than or equal.

• Line Density

  wasm

  Computes line length per unit area, producing a density surface.

• Line Statistics

  wasm

  Summarizes raster values using line statistics.

• List Unique Values Raster

  wasm

  Lists distinct values in a raster for class review.

• Ln

  wasm

  Computes the natural logarithm of each raster cell.

• Local Polynomial Interpolation

  wasm

  Fits polynomials in local neighborhoods to estimate a surface from points.

• Locate Regions

  wasm

  Identifies candidate regions by size, value, or suitability criteria and outputs their locations.

• Log10

  wasm

  Computes the base-10 logarithm of each raster cell.

• Log2

  wasm

  Computes the base-2 logarithm of each raster cell.

• Map Features

  wasm

  Extracts or assigns cartographic features from a raster based on cell values.

• Matched Filter Target Detection (CEM/ACE)

  wasm

  Performs matched filter target detection (CEM/ACE) on a raster.

• Max

  wasm

  Returns the maximum value per cell when comparing rasters or a constant.

• Maximum Likelihood Classification

  wasm

  Classifies raster pixels using maximum likelihood and outputs a class raster.

• Min

  wasm

  Returns the minimum value per cell when comparing rasters or a constant.

• Modified Shepard Interpolation

  wasm

  Interpolates a surface from points using the modified Shepard method.

• Multicriteria Overlay

  wasm

  Combines rasters via multicriteria overlay, outputting a raster of computed values.

• Multilook

  wasm

  Averages SAR image neighborhoods to reduce speckle and stabilize values.

• Narrowness Index

  wasm

  Measures local narrowness of raster shapes to highlight corridors, bottlenecks, or elongated features.

• Negate

  wasm

  Changes the sign of each raster value and outputs the inverted raster.

• Nibble

  wasm

  Fills selected raster cells with values from their nearest neighbors.

• Not Equal To

  wasm

  Compares two rasters or a raster and a constant, flagging cells with differing values.

• Optimal Interpolation

  wasm

  Estimates a surface using optimal interpolation from known points.

• Ordinary CoKriging Interpolation

  wasm

  Interpolates a variable using an additional spatially correlated secondary variable.

• Paired Sample T Test

  wasm

  Computes a paired-sample t-test on a raster.

• Path Distance

  wasm

  Calculates accumulated distance following travel costs and directions between cells.

• Percentile Contours

  wasm

  Generates contours delimiting specified percentiles of a raster surface.

• Phi Coefficient

  wasm

  Measures association between two binary variables using the phi coefficient.

• Point Statistics

  wasm

  Summarizes raster values using point statistics.

• Porous Puff

  wasm

  Simulates dispersion of a point-source release accounting for medium porosity.

• Predict Using Trend Raster

  wasm

  Generates a predicted multidimensional raster for given time, depth, or height values from a trend raster.

• Presence-only Prediction

  wasm

  Models probability or suitability from known presence records and predictor variables.

• Principal Component Analysis

  wasm

  Reduces correlated bands into independent components concentrating spectral variation.

• Print GeoTIFF Tags

  wasm

  Extracts and displays tags and metadata stored in a GeoTIFF file.

• Pycnophylactic Interpolation

  wasm

  Interpolates values across zones while preserving original totals per area.

• Quantiles

  wasm

  Classifies raster values into intervals with equal numbers of cells.

• Radial Basis Function Interpolation

  wasm

  Generates an interpolated surface using radial basis functions.

• Radius of Gyration

  wasm

  Calculates the spatial dispersion of each raster region relative to its centroid.

• Random Field

  wasm

  Generates a random field according to specified distribution and autocorrelation parameters.

• Random Forest Classification Fit

  wasm

  Fits a random forest classification model on raster data.

• Random Forest Classification Predict

  wasm

  Applies a trained random forest model to raster bands and produces a per-pixel classification.

• Random Forest Regression Fit

  wasm

  Fits a random forest regression model on raster data.

• Random Forest Regression Predict

  wasm

  Applies a random forest model to explanatory rasters and estimates a continuous value per pixel.

• Random Sample

  wasm

  Randomly selects a specified number of cells and marks their locations in a new raster.

• Raster Area

  wasm

  Calculates the area of each raster class or region from its cells.

• Raster Calculator

  wasm

  Evaluates a mathematical expression across rasters and outputs the resulting raster.

• Raster Cell Assignment

  wasm

  Assigns each cell the identifier of the source that determines its value.

• Raster Histogram

  wasm

  Generates a frequency histogram of the values contained in a raster.

• Raster Normalize

  wasm

  Normalizes raster values to a common scale.

• Raster Perimeter

  wasm

  Calculates the perimeter of each region or class identified in a raster.

• Raster Summary Stats

  wasm

  Summarizes the raster with minimum, maximum, mean, and standard deviation.

• Reciprocal

  wasm

  Computes the multiplicative inverse of each cell and outputs a reciprocal raster.

• Render Raster to PNG

  wasm

  Exports a raster rendering as a PNG image for visualization or publication.

• Rescale By Function

  wasm

  Rescales raster values using a user-defined transformation function.

• Rescale Value Range

  wasm

  Rescales the range of values in a raster.

• Root Mean Square Error

  wasm

  Calculates the root mean square error between observed and estimated values.

• Round

  wasm

  Rounds each raster cell value to the nearest integer.

• SAR Coherence

  wasm

  Compares the phase of two SAR images to estimate coherence and surface changes.

• Shape Complexity Index Raster

  wasm

  Measures irregularity or compactness of patches and regions, producing a per-class raster index.

• Sieve

  wasm

  Removes raster regions smaller than a threshold and replaces them with neighboring classes.

• Sin

  wasm

  Computes the sine of each cell value and creates a transformed raster.

• Sinh

  wasm

  Computes the hyperbolic sine of each raster cell.

• Slice Raster

  wasm

  Reclassifies continuous raster values into discrete intervals or classes.

• Solar Radiation

  wasm

  Estimates incoming solar radiation based on terrain, aspect, date, and atmospheric conditions.

• Space Time Kernel Density

  wasm

  Computes space-time kernel density over a raster.

• Spatial Association Between Zones

  wasm

  Quantifies spatial association between neighboring zones from each zone's values.

• Spectral Index

  wasm

  Computes a spectral index by combining selected bands of an image.

• Split Raster

  wasm

  Splits a raster into output files or tiles.

• Sqrt

  wasm

  Computes the square root of each raster cell.

• Square

  wasm

  Raises each cell value to the power of two and outputs the transformed raster.

• Storage Capacity

  wasm

  Estimates storage volume of depressions in an elevation model.

• Summarize Categorical Raster

  wasm

  Counts pixels of each class in each slice of a multidimensional categorical raster.

• Surface Parameters

  wasm

  Derives curvature, aspect, and shape parameters from a surface.

• Surface Volume

  wasm

  Calculates volume between a raster surface and a reference height.

• Tan

  wasm

  Computes the tangent of each cell value and creates a transformed raster.

• Tanh

  wasm

  Computes the hyperbolic tangent of each raster cell.

• Time Series Cross Correlation

  wasm

  Computes cross-correlation of time series over a raster.

• Tin Interpolation

  wasm

  Interpolates a surface using a triangulated irregular network (TIN).

• To Degrees

  wasm

  Converts raster angular values from radians to degrees.

• To Radians

  wasm

  Converts raster angular values from degrees to radians.

• Trend Surface

  wasm

  Fits a polynomial surface representing the overall spatial trend.

• Trend Surface Vector Points

  wasm

  Converts the trend surface into vector points with estimated values.

• Truncate

  wasm

  Removes the decimal part of each raster value, keeping only the integer component.

• Turning Bands Simulation

  wasm

  Simulates a random spatial field with a specified variogram structure.

• Two Sample Ks Test

  wasm

  Performs a two-sample KS test on a raster.

• Warp Raster

  wasm

  Warps a raster using control points to align it to a reference.

• Weighted Voronoi

  wasm

  Builds Voronoi regions weighted by each point's influence.

• Wilcoxon Signed Rank Test

  wasm

  Performs a Wilcoxon signed rank test on a raster.

• Z Scores

  wasm

  Standardizes raster values as deviations from their global mean.

• Zonal Characterization

  wasm

  Summarizes raster properties within zones to characterize each spatial unit.

• Zonal Fill

  wasm

  Fills NoData cells with values derived from defined zones.

• Zonal Geometry

  wasm

  Calculates area, perimeter, and other geometric measures for each raster zone.

• Zonal Histogram

  wasm

  Counts raster value frequencies within each zone, generating a per-zone histogram.

• Zonal Statistics

  wasm

  Summarizes raster values using zonal statistics.

• Buffer Raster

  wasm

  Generates a distance or influence zone raster around non-null cells of an input raster.

• Cost Allocation

  wasm

  Assigns each cell to the source reachable at the lowest accumulated cost.

• Cost Distance

  wasm

  Computes minimum accumulated cost from each cell to the specified sources.

• Cost Pathway

  wasm

  Traces least-cost paths from destinations to their sources over a surface.

• Euclidean Allocation

  wasm

  Assigns each cell to the nearest source based on Euclidean distance.

• Euclidean Distance

  wasm

  Calculates straight-line distance from each cell to the nearest source.

• Image Correlation Neighbourhood Analysis

  wasm

  Calculates local correlation between two images within neighbourhood windows.

• Natural Neighbour Interpolation

  wasm

  Interpolates a surface from points by weighting natural neighbours of the triangulation.

• Nearest Neighbour Interpolation

  wasm

  Generates an interpolated surface using the nearest-neighbour method.

• Add

  wasm

  Adds two rasters, or a raster and a constant, cell by cell.

• Average Overlay

  wasm

  Combines rasters using an average overlay and outputs a raster of calculated values.

• Bool And

  wasm

  Computes the cell-wise logical conjunction between two raster conditions.

• Bool Not

  wasm

  Inverts the logical value of each input raster cell.

• Bool Or

  wasm

  Computes the cell-wise logical disjunction between two raster conditions.

• Bool Xor

  wasm

  Applies the XOR logical operation between two boolean rasters.

• Count If

  wasm

  Counts per cell how many rasters in a stack meet a specified value or condition.

• Divide

  wasm

  Divides two rasters, or a raster by a constant, cell by cell.

• Highest Position

  wasm

  Identifies which layer in a stack contributes the highest value per cell.

• Lowest Position

  wasm

  Identifies which layer in a stack contributes the lowest value per cell.

• Max Absolute Overlay

  wasm

  Combines rasters using a maximum absolute overlay and outputs a raster of calculated values.

• Max Overlay

  wasm

  Combines rasters using a maximum overlay and outputs a raster of calculated values.

• Min Absolute Overlay

  wasm

  Combines rasters using a minimum absolute overlay and outputs a raster of calculated values.

• Min Overlay

  wasm

  Combines rasters using a minimum overlay and outputs a raster of calculated values.

• Modulo

  wasm

  Calculates the remainder of division between the values of two rasters.

• Multiply

  wasm

  Multiplies two rasters, or a raster and a constant, cell by cell.

• Multiply Overlay

  wasm

  Multiplies the values of several overlapping rasters to produce a combined surface.

• Percent Equal To

  wasm

  Calculates the percentage of layers in a stack equal to a target value.

• Percent Greater Than

  wasm

  Calculates the percentage of layers in a stack greater than a target value.

• Percent Less Than

  wasm

  Calculates the percentage of layers in a stack less than a target value.

• Pick From List

  wasm

  Selects per cell the value from a list of rasters based on an index raster.

• Power

  wasm

  Raises raster values to a power, cell by cell.

• Standard Deviation Overlay

  wasm

  Combines rasters using a standard deviation overlay and outputs a raster of calculated values.

• Subtract

  wasm

  Subtracts two rasters, or subtracts one from a constant, cell by cell.

• Sum Overlay

  wasm

  Combines rasters using a sum overlay and outputs a raster of calculated values.

• Update Nodata Cells

  wasm

  Replaces nodata cells with corresponding values from another raster.

• Weighted Overlay

  wasm

  Combines rasters using a weighted overlay and outputs a raster of calculated values.

• Weighted Sum

  wasm

  Combines multiple rasters by multiplying each by its weight before summing.

• Conditional Evaluation

  wasm

  Evaluates a condition between rasters and assigns each cell the value for the true or false result.

• Reclass

  wasm

  Reclassifies a raster into zones or classes according to defined rules.

• Reclass Equal Interval

  wasm

  Reclassifies a raster into equal-interval classes according to defined rules.

• Geographically Weighted Regression Raster

  wasm

  Fits a geographically weighted regression and outputs a raster of local relationships between variables.

• Getis Ord Gi Star Raster

  wasm

  Calculates Getis-Ord Gi* per cell to detect local high or low clusters.

• Inhomogeneous Intensity Raster

  wasm

  Estimates a spatial intensity surface that can vary across zones.

• Local Kriging

  wasm

  Interpolates locally using only the point neighbourhood relevant to each location.

• Local Moran's I LISA Raster

  wasm

  Calculates local Moran's I (LISA) on a raster.

• Ordinary Kriging

  wasm

  Interpolates a surface assuming an unknown local mean and autocorrelation.

• Simple Kriging

  wasm

  Interpolates a surface using a known mean and a variogram model.

• Spacetime Kriging

  wasm

  Interpolates values across space and time considering spatial and temporal dependence.

• Spatial Error Regression Raster

  wasm

  Fits a raster regression that accounts for autocorrelation in the errors.

• Spatial Lag Regression Raster

  wasm

  Fits a spatial lag regression; coefficients and predictions incorporate neighboring values.

• Universal Kriging

  wasm

  Interpolates by modeling spatial trend plus residual autocorrelation.