Discover for ArcGIS Pro 2.2 (December 2025)
New Licensing Icons
Licensing icons have been updated in the Discover ribbon.
Option |
Description |
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Licensing |
Display the drop-down menu of licensing options. |
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Modify License |
Modify the type of license in use. Selecting this option will deactivate your current license and return it. |
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Return License |
Return or deactivate your standalone license. |
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Generate Offline License |
Convert your cloud license to offline mode for use without an Internet connection. |
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Return Offline License |
Return your offline cloud license to the license pool. |
Reproject Voxel
A new Reproject Voxel tool has been added to the Discover ribbon. This tool allows you to reproject NetCDF voxel model files into a different coordinate system, making it easier to align 3D data with your project’s spatial framework.
Option |
Description |
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Reproject Voxel |
Reproject a NetCDF voxel model. |
Dip and Dip Direction from a Line Tool
The new Add Dip and Dip Direction from Line tool in the Modelling ribbon allows you to calculate structural orientation data directly from 3D line features, using the same core methods as the established String to Plane tool in Studio.
This tool lets you select a line feature class and specify target columns to store the calculated dip and dip direction values. For each selected line, the tool fits a best-fit plane and derives the average dip and dip direction, streamlining structural analysis.
Two plane-fitting methods are supported: Projected Areas and Least Squares Fit. Both methods are part of the core C++ Earthworks engine. Projected Areas provides a straightforward geometric approach, while Least Squares Fit uses matrix calculations to determine the optimal plane orientation.
This addition enables more automated and accurate extraction of geological orientation data from line features and serves as a foundational tool for workflows involving structural interpretation and model refinement.
Option |
Description |
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Dip & Direction from Line |
Generate the dip and dip direction fields values from a best fit plane defined from points within a line. |
Georeferenced Images
Colour Picker
The background transparency feature has been enhanced for georeferencing images. When setting a background transparency, you can now select from a range of pre-defined colours or use the Eyedropper tool to select a colour in the image.
3D Image Registration
A new enhancement allows you to register an image in 3D space using just three points, offering a quick and intuitive way to position imagery within your 3D scene.
This tool is particularly useful when integrating scanned maps, cross-sections, or interpreted imagery with your 3D data. By selecting three known reference points on the image and matching them to their corresponding 3D coordinates, you can accurately anchor and orient the image in space.
Option |
Description |
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3D Georeference Image |
Georeference an image in 3D with control points. |
2D and 3D Tools for Plan Views
The following tools have been upgraded to support plan views: Feature to Section, Section to Image, Section to Layer, Solid from Template, Surface from Template, Apply Template, Voxel to Section and Table to 3D. These updates provide a more consistent and flexible experience when working with spatial data in various orientations.
You are no longer limited to cross-section views. Each tool now recognises and handles plan orientations, allowing you to generate, visualise, and transform data from a top-down perspective as effectively as from vertical sections. This is particularly helpful when interpreting surface data, integrating mapping layers, or building models from horizontal datasets.
Legends
Coded Value Domains
Previously, coded value domains with numeric fields were automatically displayed using a Numeric Range legend, while those with text fields used a Text legend. This behaviour led to inconsistent data representations and made it difficult to clearly convey the meaning of coded values, especially when numeric codes were linked to descriptive labels.
Now, all coded value domains are displayed as Text legends, regardless of whether the domain field is numeric or text-based. This change ensures that value/description pairs are always clearly presented.
Convert Legend to a Structural Legend
A new option has been added to the Legend Editor, allowing you to convert an existing text-based legend into a structural legend format. This option is available only for text legends, ensuring it applies correctly to relevant coded value domains.
After converting a legend, you can access the structural symbol selector by double-clicking the 2D Style cell.
System-generated structural legends remain locked to prevent symbol edits, preserving data integrity. However, you can still adjust the colour and size to match your visual preferences or presentation needs.
Table Validation Rules
This release adds support for storing table validation rules directly within your ArcGIS project, making it easier to manage and share validation set-ups across your team. Table validation rules are now saved in the project directory Discover\tablemetadata.db. When you share a project, the associated validation rules are shared, too.
At the same time, the global copy of the validation rules in the configuration folder remains in place. This ensures backwards compatibility and allows you to continue applying organisation-wide validation where needed.
Import Datamine Block Models
This release improves the import process for Datamine block models. You now have more control over which bands to load, significantly optimising memory usage and performance.
Datamine block models may contain a large number of bands. Loading all bands by default can lead to memory constraints, particularly with the limitations of .NET and NetCDF handling. To address this, the import tool now pre-loads the list of available bands when a block model is selected, allowing you to choose only the bands you need for your workflow.
Machine Learning Tool
This release introduces a new Machine Learning tool in the Discover ribbon. This tool supports Principal Component Analysis (PCA) and K-Means Clustering for point feature classes and multi-band rasters.
PCA is a linear dimensionality reduction technique that reveals dominant patterns by projecting your data onto a new coordinate system. The result is a set of principal components, each representing a portion of the data’s variance. The tool now includes a Variance Explained table alongside the PCA-transformed output, helping you understand how much information each component retains. A Cumulative Percentage column allows you to quickly determine how many bands to keep, typically enough to capture 75% to 95% of the total variance, balancing the preservation of meaningful information with noise reduction.
After simplifying your dataset with PCA, you can apply K-Means Clustering to group similar records into distinct clusters. The tool assigns a cluster number to each record in a new field, allowing you to visualise the results on a map using colour schemes. This workflow is especially valuable for identifying spatial patterns in data.
Option |
Description |
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Machine Learning |
Perform Principal Component Analysis (PCA) and clustering on data. |
Discover Mobile
This release introduces the much anticipated functionality to manage raster and vector data separately in Discover Mobile projects.
You can now create a standalone raster-only project using the new Shareable Raster project type. This method allows you to load either just vector data or both vector and raster data into Discover Mobile, depending on your needs. It is especially useful for working with large raster datasets.
Surface from Selection
A new Surface from Selection tool is now available, allowing you to create mesh surfaces directly from selected lines within a 3D scene.
This feature complements the existing Surface from Template workflow by providing a more intuitive and streamlined way to generate surfaces from 3D polylines.
Polyline Section Buffer
Previously, when creating section buffers from polylines, the outer corners at inflection points appeared pointed. This often resulted in an inconsistent envelope width around angular turns, where the buffer would widen noticeably at corners, potentially affecting interpretation and downstream analysis.
The drillhole tools have been enhanced to support rounded corners in polyline section buffers, aligning the Discover for ArcGIS Pro version with the behaviour already available in MapInfo.
Clip View to Section
A new control has been added to allow you to override the default section envelope width. This gives you greater flexibility when generating and customising drillhole sections.
Rasters
LiDAR LAS
You can now create rasters directly from LIDAR LAS files, making it easier to convert high-resolution point cloud data into usable surface models.
Vectorize
A new Vectorize tool allows you to vectorize raster surfaces by converting grid cells into vector polygons.
Contours
The new Contour Raster tool allows you to generate vector contours from any supported surface grid type.
These tools can be accessed in the Raster ribbon.
Option |
Description |
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LiDAR LAS |
Interpolate a raster from a LiDAR (.las) file, while filtering on a LiDAR classification code. |
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Vectorize |
Create polygons from raster. |
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Contour Raste |
Create contours from raster. |
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Generate Offline License |
Convert your cloud license to offline mode for use without an Internet connection. |
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Return Offline License |
Return your offline cloud license to the license pool. |
Extrude Features
A new Extrude Features tool has been added to the Modelling ribbon, enabling you to generate 3D objects by extruding 2D features vertically or along a specified path.
Clip 3D View to Section - Viewpoints
The Clip 3D View to Section tool now includes expanded Section Viewpoint options, giving you greater control over how sections are visualised in the 3D scene.
These new options make it much easier to understand spatial relationships and structures within the section, particularly in complex geology.