Raster analysis allows you to perform analysis of large raster datasets using the ArcGIS Image Server. This allows you to analyze more data faster by harnessing the power of the server. The toolsets currently available through the Portal for ArcGIS web user experience are Summarize Data, Analyze Patterns, Use Prxoimity, Analyze Image, Analyze Terrain, Manage Data, and Deep Learning.

Summarize Data


This toolset contains a tool for calculating some statistics for a raster layer within area boundaries that you define.

Summarize Raster Within

Summarize Raster Within tool

Calculates some summary statistics for raster cells within defined areas.

Some example applications are the following:


Analyze Patterns


These tools help you identify, quantify, and visualize spatial patterns in your data.

Calculate Density

Calculate Density tool

Density analysis takes known quantities of some phenomenon and creates a density map by spreading these quantities across the map. You can use this tool, for example, to show concentrations of lightning strikes or tornadoes, access to health care facilities, and population densities.


Interpolate Points

Interpolate Points tool

This tool allows you to predict values at new locations based on measurements found in a collection of points. The tool takes point data with values at each point and returns areas classified by predicted values. You can use this tool, for example, to predict rainfall levels across a watershed based on measurements taken at individual rain gauges.


Use Proximity


These tools help you answer one of the most common questions posed in spatial analysis: "What is near what?"

Calculate Distance

Calculate Distance

Calculates the Euclidean distance, direction and allocation from a single or set of sources. You can use this tool to determine how far a location is to a road, a building or a park. You can also determine which direction you must travel from a location to return back to a source in the most direct way. You can see for every location in your study area which is the closest source.


Determine Optimum Travel Cost Network

Determine Optimum Travel Cost Network tool illustration

Calculates the optimum cost network from a set of input regions.


Determine Travel Cost Path As Polyline

Determine Travel Cost Path as Polyline tool illustration

Calculates the least cost polyline path between sources and known destinations.


Analyze Image


The following tool helps you analyze images.

Apply Raster Function Template

Apply Raster Function Template

Processes your imagery with the chain of functions, as specified by the raster function template.


Monitor Vegetation

Monitor Vegetation tool for Portal

Performs an arithmetic operation on the bands of a multiband raster layer to reveal vegetation coverage information of the study area.


Analyze Terrain


These tools help you analyze raster surfaces.

Calculate Slope

Calculate Slope tool for Portal

Identifies a surface that shows the slope of the input elevation data. Slope represents the rate of change of elevation for each digital elevation model (DEM) cell.


Derive Aspect

Derive Aspect tool for Portal

Identifies the downslope direction of the maximum rate of change in value from each cell to its neighbors. Aspect can be thought of as the slope direction.


Create Viewshed

Create Viewshed tool

Determines the locations on a raster surface that are visible to a set of observers.


Watershed

Watershed task

Determines the contributing area above a set of cells in a raster.


Manage Data


These tools are used for both the day-to-day management of geographic data and for combining data prior to analysis.

Extract Raster

Extract Raster tool for Portal

Extract cells from a raster based on value, shape, or the extent of a different dataset.


Remap Values

Remap Values tool for Portal

Change the individual or ranges of cell values to new values.


Convert Feature to Raster

Convert Feature to Raster tool

Create a new raster dataset from an existing feature dataset.


Convert Raster to Feature

Convert Raster to Feature tool

Create a new feature dataset from an existing raster dataset.


Toolset Deep Learning


These tools are used to detect specific features in an image or to classify pixels in a raster dataset. Deep learning is a type of artificial intelligence machine learning method that detects features in imagery using multiple layers in neural networks where each layer is capable of extracting one or more unique features in the image. These tools consume the models that have been trained to detect specific features in third-party deep learning frameworks—such as TensorFlow, CNTK and Keras—and output features or class maps.

Classify Pixels Using Deep Learning

Classify Pixels Using Deep Learning

Runs a trained deep learning model on an input raster to produce a classified raster, with each valid pixel having a class label assigned.


Detect Objects Using Deep Learning

Detect Objects Using Deep Learning

Runs a trained deep learning model on an input raster to produce a feature class containing the objects it finds. The features can be bounding boxes or polygons around the objects found, or points at the centers of the objects.