The Raster toolset in the Data Management toolbox provides tools to perform raster data management and raster processing. These tools allow you to work with raster dataset properties and create and process raster data.
The following table lists the available toolsets in the Raster toolset and provides a brief description of each.
Allows you to create and edit mosaic datasets.
Allows you to to create orthorectified image mosaic from remote sensing images.
Allows you to create and mosaic raster datasets.
Allows you to perform tasks to get your raster data ready for use.
Provides tools to create, view, or edit the raster dataset properties.
An overview of the Mosaic Dataset toolset
The following table summarizes the tools in the Mosaic Dataset toolset. The mosaic dataset is the recommended data model for managing, analyzing, and displaying a collection or rasters.
Adds raster datasets to a mosaic dataset from many sources, including a file, folder, table, or web service.
Defines which editing operations nonowners have when editing a mosaic dataset in an enterprise geodatabase.
Performs checks on a mosaic dataset for errors and possible improvements.
Updates the extent of the boundary when adding new raster datasets to a mosaic dataset that extend beyond its previous coverage.
Computes the extent of every raster in a mosaic dataset. This tool is used when you have added or removed raster datasets from a mosaic dataset and want to recompute the footprints.
Inserts the Cached Raster function as the final step in all function chains within a mosaic dataset.
Generates multidimensional metadata in the mosaic dataset including information regarding variables and dimensions.
Defines and generates overviews on a mosaic dataset.
Generate or update seamlines for your mosaic dataset. Seamlines are used to sort overlapping imagery and produce a smoother-looking mosaic.
Computes the visibility levels of raster datasets in a mosaic dataset based on the spatial resolution.
Clears the pixel cache associated with a mosaic dataset.
Makes transitions from one image to an adjoining image appear seamless.
Identifies areas within a mosaic dataset that have changed since a specified point in time. This is used commonly when a mosaic dataset is updated or synchronized, or when derived products, such as cache, need to be updated. This tool will enable you to limit such processes to only the areas that have changed.
Finds the image candidates within in the mosaic dataset that best represents the mosaic area.
Creates an empty mosaic dataset in a geodatabase.
Creates a separate mosaic dataset from items in an existing mosaic dataset.
Specifies one or more values to be represented as NoData.
Lets you set how mosaic dataset overviews are generated. The settings made with this tool are used by the Build Overviews tool.
Deletes a mosaic dataset, its overviews, and its item cache from disk.
Adds, replaces, or removes a function chain in a mosaic dataset or a raster layer that contains a raster function.
Creates a feature class showing the footprints, boundary, seamlines or spatial resolutions of a mosaic dataset.
Saves a copy of processed images within a mosaic dataset to a specified folder and raster file format.
Creates a table of the file path for each item in a mosaic dataset. You can specify whether the table contains all the file paths or just the ones that are broken.
Masks pixels based on their color or by clipping a range of values. The output of this tool is used as an input to the Color Balance Mosaic Dataset tool to eliminate areas such as clouds and water that can skew the statistics used to color balance multiple images.
Performs batch analysis or processing on image collections contained in a mosaic dataset. The images in the input mosaic dataset can be processed individually or as groups.
Modifies the geometry for the footprints, boundary, or seamlines in a mosaic dataset to match those in a feature class.
Groups multiple items in a mosaic dataset together as one item.
Converts a mosaic dataset into a mobile mosaic dataset compatible with ArcGIS Runtime SDK. A mobile mosaic dataset resides in a mobile geodatabase.
Removes selected raster datasets from a mosaic dataset.
Resets paths to source imagery if you have moved or copied a mosaic dataset.
Defines the defaults for displaying a mosaic dataset and serving it as an image service.
Splits mosaic dataset items that were merged together using Merge Mosaic Dataset Items.
Keeps your mosaic dataset up to date. In addition to syncing data, you can update overviews if the underlying imagery has been changed, generate new overviews and cache, and restore the original configuration of mosaic dataset items. You can also remove paths to source data with this tool. To repair paths, you need to use the Repair Mosaic Dataset Paths tool.
An overview of the Ortho Mapping toolset
The Ortho Mapping toolset includes tools that allow you to create an orthorectified image mosaic from remote sensing images ranging from satellite images described by the RPC (Rational Polynomial Coefficients) model and aerial images, including UAV or UAS images.
The following table lists the tools available in the Ortho Mapping toolset and provides a brief description of each.
For more information, see Ortho Mapping in ArcGIS Pro
Analyzes the control point coverage and identifies the areas that need additional control points to improve the block adjust result.
Combines control points to an existing control point table.
Applies the geographic adjustments to the mosaic dataset items. This tool uses the solution table from the Compute Block Adjustments tool.
Builds a stereo model of a mosaic dataset based on a user-provided stereo pair.
This tool is used to compute the adjustments to the mosaic dataset. This tool will create a solution table that can be used to apply the actual adjustments.
Estimates the exterior camera model and interior camera model from the EXIF header of the raw image and refines the camera models. The model is then applied to the mosaic dataset with an option to use a tool-generated, high-resolution digital surface model (DSM) to achieve better orthorectification.
Creates the control points between the mosaic dataset and the reference image. The control points can then be used in conjunction with tie points to compute the adjustments for the mosaic dataset.
Computes the fiducial coordinates in image and film space for each image in a mosaic dataset.
Computes the tie points between overlapped mosaic dataset items. The tie points can then be used to compute the block adjustments for the mosaic dataset.
Generates a report after performing ortho mapping block adjustment to a mosaic dataset. The report is critical in evaluating the quality and accuracy of the ortho mapping products.
Computes 3D points from stereo pairs and outputs a point cloud as a set of LAS files.
Interpolates a digital terrain model (DTM) or a digital surface model (DSM) from a point cloud using one of the provided interpolation methods.
Creates matching tie points for a given ground control point and initial tie point in one of the overlapping images.
Refines the interior orientation for each image in the mosaic dataset by constructing an affine transformation from a fiducial table.
An overview of the Raster Dataset toolset
A raster dataset is the basic data model for rasters. A raster dataset is an organized array of pixels, which can have a single band or many bands. This toolset provides the tools to copy, create, or append raster datasets.
The following table lists the tools available in the Raster Dataset toolset and provides a brief description of each. The output for all these tools is a raster dataset.
Saves a copy of a raster dataset or converts a mosaic dataset into a single raster dataset.
Create a raster dataset of random values with a distribution you can define.
Creates an empty raster dataset.
Downloads the source files from an image service or mosaic dataset.
Generates a raster dataset from an input raster function or function chain.
Merges multiple existing raster datasets into an existing raster dataset.
Merges multiple raster datasets into a new raster dataset.
Merges all of the raster datasets in a folder into one raster dataset.
An overview of the Raster Processing toolset
The Raster Processing toolset is used to perform several tasks with your data to prepare it for analysis and display.
The following table lists the tools available in the Raster Processing toolset and provides a brief description of each. The input and output for all these tools is a raster dataset.
Cuts out a portion of a raster dataset, mosaic dataset, or image service layer.
Creates a single raster dataset from multiple bands.
Calculates an optimal set of pan sharpened weights for new or custom sensor data.
Incorporates elevation data and image metadata to accurately line up imagery.
Combines a high-resolution panchromatic raster dataset with a lower-resolution multiband raster dataset to create a high-resolution multiband raster dataset for visual analysis.
Creates a new raster dataset from a selection of an HDF or NITF dataset.
Converts a raster function dataset to a table or feature class. The input raster function should be a raster function designed to output a table or feature class.
Splits a raster dataset into separate files based on the DTED tiling structure.
Change the spatial resolution of your raster dataset and set rules for aggregating or interpolating values across the new pixel sizes.
Divides a raster dataset into smaller pieces, by tiles or features from a polygon.
An overview of the Raster Properties toolset
A raster dataset has various properties that are associated with it: color maps, pyramids, statistics, attribute tables, world files, and cell values. The tools in this toolset help you create, delete, or edit the various properties of a raster dataset.
The following table lists the tools available in the Raster Properties toolset and provides a brief description of each.
Adds a new color map or replaces an existing color map on a raster dataset.
Builds pyramids for multiple raster datasets.
Calculates statistics for multiple raster datasets.
Transposes a multidimensional raster dataset, which chunks the multidimensional data along each dimension to optimize performance when accessing pixel values across all slices.
Builds raster pyramids for your raster dataset.
Traverses a folder structure, building pyramids and calculating statistics for all the raster datasets it contains. It can also build pyramids and calculate statistics for all the items in a mosaic dataset.
Create or update a table with information about the classes in your raster datasets. This is used primarily with discrete data.
Calculates statistics for a raster dataset or mosaic dataset.
Converts a raster function template between formats (rft.xml, json, and binary).
Removes the color map associated with a raster dataset.
Removes the raster attribute table associated with a raster dataset.
Creates a world file based on the pixel size and the location of the upper left pixel.
Retrieves the value of a given pixel using its x, y coordinates.
Retrieves information from the metadata and descriptive statistics about a raster dataset.
Sets the data type, statistics, and NoData values on a raster or mosaic dataset.