ArcGIS Excalibur

What's New in ArcGIS Excalibur (November 2021)

ArcGIS Excalibur transforms the way analysts search, discover, and work with imagery by unifying traditionally separate geospatial and imagery-based views into a single integrated experience.   An easy-to-use web-based experience, Excalibur has the power to improve daily decision-making across organizations.

The November 2021 release of ArcGIS Excalibur delivers a wide range of exciting new capabilities that enhances observation management workflows, including GeoEnriched Observation Layers, exporting imagery, and a new pixel-based tool to detect change between two images.

Highlights from the November 2021 release include: GeoEnriched Observation Layers, export and download image workflows, and automated pixel-based comparisons. Read more.

GeoEnriched Observation Layers

Imagery projects provide users with efficient ways to perform their work by organizing resources required to complete an image-based task in a single location.  The upcoming release of Excalibur enhances imagery projects by adding GeoEnrichment definitions to observation layers in your project.  When a GeoEnrichment definition is configured with your observation layer, it will automatically add information from a related context layer to the existing observation layer.  For example, using an aircraft observation layer, a user collects the presence of an aircraft at a known airfield.  The selected airfield values auto-populate the aircraft observation layer with updated information, saving the user time and preventing “copy and paste” errors.

Export and download image workflows

Excalibur serves many imagery functional roles within an organization, including search and discovery imagery analysis and exploitation and sharing results for decision-making.   Using the Export Image tool, users will now have the option to save an image as an image snapshot or download the full resolution source image and its supported files from the map focus panel or image focus view.   The image snapshot is recommended for briefings and presentations, while the source image is for utilizing in additional mapping applications as it contains image metadata, including resolution.

Automated pixel-based comparisons 

For many analysts, manually comparing changes between two images is a daunting task.  The new Detect Change tool uses multiple raster functions to conduct automated pixel-based comparisons between two images selected in the image metadata table.  Users select the two images of interest, apply the Detect Change tool, and results immediately appear on screen. This tool can be run in an imagery project and results can be shared in an imagery report.

Stay in the Know

ArcGIS Excalibur continues to transform imagery workflows with constant improvements in response to customer input, building on the capabilities of ArcGIS. To learn more about Excalibur and add it to your organization’s ArcGIS Enterprise deployment, get in touch with an Esri representative at go.esri.com/excalibur, or visit the new Resources page to access on-demand, no-cost training; documentation; videos; articles; and more.

About the authors

Jamon Johnson is a Product Manager on the GeoEnabled Systems Team with over 25 years in the GIS industry. He served in the Marine Corps as an Intelligence Officer and a GEOINT Analyst. Jamon now focuses on delivering GIS and spatial analytics to solve complex problems.

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Lauren Lipovic is a Lead Product Marketing Manager at Esri. Lauren joined the Product Marketing team after spending four years on Esri’s Global Business Development team, where she led the development of the company’s digital sales and public policy practices. Her 10 years of experience spans across strategic planning, policymaking, and business development in government, NGO, and software industries. Her work has been published in peer-reviewed journals and industry news on the topics of economics, government data, and innovation. Lauren holds a bachelor’s degree in economics and a master’s in economics and policy analysis from DePaul University. Lauren is passionate about supporting Esri customers solve problems with geospatial technologies and solutions.

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