Raster analysis allows you to perform analysis of large raster datasets using 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 Proximity, Analyze Image, Analyze Terrain, Manage Data, Deep Learning, and Multidimensional Analysis.

Summarize Data


These tools are used for calculating statistics for a raster layer within the area boundaries (zones) defined by you.

Summarize Raster Within

Summarize Raster Within tool

This tool summarizes the values of a raster within the zones of another dataset.


Zonal Statistics as Table

Zonal Statistics as Table diagram

This tool summarizes the values of a raster within the zones of another dataset and reports the results to a table.


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 some of the most common questions posed in spatial analysis: What is near what? and What is the most optimal path?

Calculate Distance

Calculate Distance

This tool calculates Euclidean distance, direction, and allocation from a single source or set of sources.


Determine Optimum Travel Cost Network

Determine Optimum Travel Cost Network tool illustration

This tool 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

This tool calculates the least-cost polyline path between destinations and sources.


Distance Accumulation

Distance Accumulation tool illustration

This tool calculates the accumulated distance for each cell to sources, allowing for straight-line distance, cost distance, true surface distance, and vertical and horizontal factors.


Distance Allocation

Distance Allocation tool illustration

This tool calculates distance allocation for each cell to the provided sources based on straight-line distance, cost distance, true surface distance, and vertical and horizontal factors.


Optimal Path As Line

Optimal Path As Line tool illustration

This tool calculates the optimal path from destinations to sources as a line.


Optimal Path As Raster

Optimal Path As Raster tool illustration

This tool calculates the optimal path from destinations to sources as a raster.


Optimal Region Connections

Optimal Region Connections tool illustration

This tool calculates the optimal connectivity network between two or more input regions.


Analyze Image


The following tool in the Analyze Image tool category helps you analyze images:

Monitor Vegetation

Monitor Vegetation tool for Portal

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


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.


Sample

Sample

Creates a table or point feature class with data values at defined locations extracted from a raster or set of rasters.


Deep Learning


These tools are used to detect or classify 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

This tool runs a trained deep learning model on an input raster to produce a classified raster, and each valid pixel has an assigned class label.


Detect Objects Using Deep Learning

Detect Objects Using Deep Learning

This tool 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.


Classify Objects Using Deep Learning

Classify Objects Using Deep Learning

This tool runs a trained deep learning model on an input raster and an optional feature class to produce a feature class or table in which each input object has an assigned class label.


Multidimensional Analysis


The tools in the Multidimensional Analysis toolset allow you to perform analysis on scientific data across multiple variables and dimensions.

Multidimensional data represents data captured at multiple times, depths, and heights. This type of data is commonly used in atmospheric, oceanographic, and earth sciences. With this toolset, you can analyze multidimensional raster data in multiple formats, including netCDF, HDF, GRIB, the multidimensional mosaic dataset, and Esri's Cloud Raster Format (CRF).

The following table lists the multidimensional analysis tools and provides a brief description of each.

Aggregate Multidimensional Raster

Aggregate Multidimensional Raster

This tool generates a multidimensional raster dataset by aggregating existing multidimensional raster variables along a dimension.


Find Argument Statistics

Find Argument Statistics

This tool extracts the dimension value or band index at which a given statistic is attained for each pixel in a multidimensional or multiband raster.


Generate Multidimensional Anomaly

Generate Multidimensional Anomaly

This tool computes the anomaly for each slice in a multidimensional raster to generate a multidimensional raster.


Generate Trend Raster

Generate Trend Raster

This tool estimates the trend for each pixel along a dimension for one or more variables in a multidimensional raster.


Predict Using Trend Raster

Predict Using Trend Raster

This tool computes a forecasted multidimensional raster using the output trend raster from the Generate Trend Raster tool.