ArcGIS REST API - ArcGIS Services - Raster Analysis service tasks

The Raster Analysis service contains a number of tasks that you can access and use in your applications. These tasks are arranged below into categories of logical groupings, which do not affect how you access or use the tasks in any way.

Note:

Starting in ArcGIS 10.6, an input image service can now also be secured. If your raster function requires a secured image service as an input, you will need to provide a token (and possibly a referrer) along with the URL so that the analysis service can access it. A long-lived token can be obtained from the token server. See the ArcGIS Server help for more details about acquiring ArcGIS tokens.

Tasks that analyze patterns


Calculate Density	The CalculateDensity task creates a density layer from point features by spreading known quantities of some phenomenon (represented as attributes of the points) across the raster. The result is a layer of areas classified from least dense to most dense.
Interpolate Points	The InterpolatePoints task allows you to predict values at new locations based on measurements from a collection of points. The tool takes point data with values at each point and returns a raster of predicted values.

Tasks that analyze terrain


Create Viewshed	The CreateViewshed task uses an elevation surface and observer locations to identify areas where the observers can see the observed objects and the observed objects can see the observers.

Tasks that perform Deep Learning Analysis


Classify Pixels Using Deep Learning	The CalculateDensity task creates a density layer from point features by spreading known quantities of some phenomenon (represented as attributes of the points) across the raster. The result is a layer of areas classified from least dense to most dense.
Detect Objects Using Deep Learning	The InterpolatePoints task allows you to predict values at new locations based on measurements from a collection of points. The tool takes point data with values at each point and returns a raster of predicted values.

Tasks that classify data


Classify	The Classify task will create categories of pixels based on the input raster and the classifier definition JSON that was generated from the Train Classifier service.
Segment	The Segment task groups adjacent pixels that have similar spectral and spatial characteristics into segments.
Train Classifier	The Train Classifier task is a service to train image classifiers in a deep learning model and return an .ecs file in JSON. The .ecs file is used in the Classify task.

Tasks that generalize raster data


Nibble	The Nibble task replaces the input cells corresponding to a mask with the values of the nearest neighbors.

Tasks that perform hydrologic analysis


Fill	The Fill task fills sinks in a surface raster to remove small imperfections in the data.
Flow Accumulation	The FlowAccumulation task creates a raster of accumulated flow into each cell. A weight factor can optionally be applied.
Flow Direction	The FlowDirection task creates a raster of flow direction from each cell to its steepest downslope neighbor.
Flow Distance	The FlowDistance task computes the downslope horizontal or vertical distance to cells in a stream or river into which they flow. A flow direction raster can optionally be applied. In case of multiple flow paths, minimum, weighted mean, or maximum flow distance can be computed.
Stream Link	The StreamLink task assigns unique values to sections of a raster linear network between intersections.
Watershed	The Watershed task determines the contributing area above a set of cells in a raster.

Tasks that manage data


Convert Feature to Raster	The ConvertFeatureToRaster task converts a point, line, or polygon feature dataset to a raster.
Convert Raster to Feature	The ConvertRasterToFeature task converts a raster to a point, line, or polygon feature dataset.

Tasks that process rasters using parallel processing


Copy Raster	The Copy Raster task takes single raster layer input and generates the output image using parallel processing. The input raster dataset can be clipped, resampled, and reprojected based on the setting.
Generate Raster	The Generate Raster task is a service that allows you to execute raster analysis on a distributed server deployment. The analysis can be specified either with a predefined server raster function keyword, or by giving a JSON object representation of a raster function chain.

Tasks that summarize data


Summarize Raster Within	The SummarizeRasterWithin task summarizes the cells of a raster within the boundaries of zones defined by another dataset.
Zonal Statistics As Table	The ZonalStatisticsAsTable task summarizes the cells of a raster within the boundaries of zones defined by another dataset.

Tasks that use proximity for performing analysis


Distance Accumulation	The DistanceAccumulation task calculates accumulated distance for each cell to sources, allowing for straight-line distance, cost distance, true surface distance, as well as vertical and horizontal cost factors.
Distance Allocation	The DistanceAllocation task calculates distance allocation for each cell to the provided sources based on straight-line distance, cost distance, true surface distance, as well as vertical and horizontal cost factors.
Optimal Path As Line	The OptimalPathAsLine task calculates the optimal path from a source to a destination as a feature.
Optimal Path As Raster	The OptimalPathAsRaster task calculates the optimal path from a source to a destination as a raster.
Optimal Region Connections	The OptimalRegionConnections task calculates the optimal connectivity network between two or more input regions.

Legacy tasks that use proximity for performing analysis


Calculate Distance	The CalculateDistance task calculates the Euclidean distance, direction, and allocation from a single source or set of sources.
Calculate Travel Cost	The CalculateTravelCost task calculates the cost distance from a single source or set of sources, while accounting for surface distance and horizontal and vertical cost factors.
Cost Path as Polyline	The CostPathAsPolyline task calculates the least-cost path from a source to a destination.
Determine Optimum Travel Cost Network	The DetermineOptimumTravelCostNetwork task calculates the optimum cost network from a set of input regions.
Determine Travel Cost Path as Polyline	The DetermineTravelCostPathAsPolyline task calculates the least-cost path between sources and destinations.
Determine Travel Cost Paths to Destinations	The DetermineTravelCostPathsToDestinations task calculates specific paths between known sources and known destinations.