{"id":2942254,"date":"2025-11-18T12:00:17","date_gmt":"2025-11-18T20:00:17","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2942254"},"modified":"2025-11-18T14:19:34","modified_gmt":"2025-11-18T22:19:34","slug":"whats-new-in-imagery-in-arcgis-enterprise","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/imagery\/whats-new-in-imagery-in-arcgis-enterprise","title":{"rendered":"What\u2019s New in Imagery in ArcGIS Enterprise (November 2025)"},"author":312882,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22931],"tags":[758311,326352,769672,186132,756881],"industry":[],"product":[36571],"class_list":["post-2942254","blog","type-blog","status-publish","format-standard","hentry","category-imagery","tag-ai","tag-arcgis-excalibur","tag-arcgis-video-server","tag-deep-learning","tag-oriented-imagery","product-arcgis-enterprise"],"acf":{"short_description":"This ArcGIS Enterprise update delivers improvements to working with imagery and video, helping you be more productive and gain clear insights.","flexible_content":[{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW166359008 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW166359008 BCX0\">The latest ArcGIS Enterprise\u00a0<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">update<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">delivers<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">\u00a0significant improvements to working with imagery and video, helping you be more productive and gain clear insights<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">\u00a0into areas of interest<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">.\u00a0<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">You&#8217;ll<\/span><span class=\"NormalTextRun SCXW166359008 BCX0\">\u00a0enjoy a more consistent experience across ArcGIS deployments, with new features from ArcGIS Online now available in ArcGIS Enterprise, making it easier to switch between environments and stay focused on your work.<\/span><\/span><span class=\"EOP SCXW166359008 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[9360],&quot;469777927&quot;:[0],&quot;469777928&quot;:[4]}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h2>Introducing More\u00a0Speed,\u00a0Automation, and Access to the Data You Need<\/h2>\n<p><span data-contrast=\"none\">By improving the efficiency of working with imagery in the GIS workflow, you can get to \u2013 and deliver \u2013 answers faster. See how the latest features and enhancements can transform your imagery into a strategic asset, driving more confident decisions and impactful outcomes.<\/span><\/p>\n<h3>Image Analysis Simplified.<\/h3>\n<p><span data-contrast=\"none\">Removing the complexity from\u00a0image analysis\u00a0tasks is\u00a0crucial\u00a0for maximizing productivity, whether you&#8217;re new to using imagery with GIS or have years of experience.\u00a0Raster Function Templates (RFTs)\u00a0simplify complex\u00a0image and raster analysis\u00a0operations by chaining\u00a0together processing steps.\u00a0Previously available in ArcGIS Pro, ArcGIS Online, and ArcGIS Enterprise via Image Server, RFTs are now\u00a0also available in\u00a0ArcGIS Excalibur. This expansion promotes\u00a0a consistent experience across ArcGIS environments, enabling users to leverage\u00a0repeatable\u00a0workflows and collaborate through shared templates.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\"><span data-contrast=\"none\">Read a blog to learn more.<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2949156,"id":2949156,"title":"Picture1","filename":"Picture1.png","filesize":464669,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/imagery\/whats-new-in-imagery-in-arcgis-enterprise\/picture1-160","alt":"Satellite mage of a city with buildings outlined in red.","author":"312882","description":"Using a Raster Function Template (RFT) in ArcGIS Excalibur, this satellite image, which was taken after the California fire emergency of 2025, was easily classified to highlight damaged buildings in red. Source: Maxar Open Data Program (NOAA 2025 Emergency Response Imagery)","caption":"Using a Raster Function Template (RFT) in ArcGIS Excalibur, this satellite image, which was taken after the California fire emergency of 2025, was easily classified to highlight damaged buildings in red. Source: Maxar Open Data Program (NOAA 2025 Emergency Response Imagery)","name":"picture1-160","status":"inherit","uploaded_to":2942254,"date":"2025-11-18 18:51:27","modified":"2025-11-18 21:13:28","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":624,"height":322,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","medium-width":464,"medium-height":239,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","medium_large-width":624,"medium_large-height":322,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","large-width":624,"large-height":322,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","1536x1536-width":624,"1536x1536-height":322,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","2048x2048-width":624,"2048x2048-height":322,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","card_image-width":624,"card_image-height":322,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture1.png","wide_image-width":624,"wide_image-height":322}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Raster Analysis, Supercharged\u00a0by Parallel Processing.<\/h3>\n<p><span data-contrast=\"none\">As deep learning becomes more integral to image analysis, processing power is crucial, especially for tasks like automated object detection and pixel classification. Previously limited by a single GPU&#8217;s processing power, these tasks can now be significantly sped up by utilizing multiple raster GPUs in ArcGIS Enterprise for Windows. This enhancement allows you to scale deep learning tasks, gain insights faster, and handle complex image analysis projects more efficiently.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3>Say Goodbye to Downtime with\u00a0Live Imagery Layer Updates.<\/h3>\n<p><span data-contrast=\"none\">To make the most informed decisions, you need your analyses, maps, and applications to reflect the most current data. With ArcGIS API for Python, you can now automate the update of imagery layers without interrupting the services your users rely on. Previously, updating\u00a0hosted imagery layers\u00a0required taking the service offline, updating, and republishing &#8211; a manual process that caused workflow disruptions and was administratively complex. By automating imagery layer updates, you reduce the administrative burden and improve overall efficiency for both you and your end-users.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3>Deep Learning Gets an Efficiency Boost from AI.<\/h3>\n<p><span data-contrast=\"none\">As ArcGIS expands its deep learning capabilities, you can now more easily uncover detailed information from your data. Deep Learning Studio, powered by ArcGIS Image Server, is a web-based application that applies deep learning to imagery\u00a0by preparing and training models. Its latest update includes an AI labeling assistant that speeds up tasks like object detection and image classification. By labeling a specific object, the AI identifies similar objects, automating a previously manual process<\/span><span data-contrast=\"none\">,<\/span><span data-contrast=\"none\">\u00a0and making it easier to integrate deep learning into your GIS workflows.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2949134,"id":2949134,"title":"image (21)","filename":"image-21.png","filesize":899306,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/imagery\/whats-new-in-imagery-in-arcgis-enterprise\/image-21-4","alt":"Image with cars in parking lot","author":"312882","description":"","caption":"","name":"image-21-4","status":"inherit","uploaded_to":2942254,"date":"2025-11-18 18:18:33","modified":"2025-11-18 18:19:45","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1149,"height":591,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21.png","medium-width":464,"medium-height":239,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21.png","medium_large-width":768,"medium_large-height":395,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21.png","large-width":1149,"large-height":591,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21.png","1536x1536-width":1149,"1536x1536-height":591,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21.png","2048x2048-width":1149,"2048x2048-height":591,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21-826x425.png","card_image-width":826,"card_image-height":425,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image-21.png","wide_image-width":1149,"wide_image-height":591}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Access Commercial Imagery with Ease.<\/h3>\n<p><span data-contrast=\"none\">Accessing imagery is the first step in integrating it into your GIS. With Content Store for ArcGIS, you can find and purchase premium satellite and aerial imagery from multiple commercial providers.\u00a0You can then publish it to your ArcGIS Online organizations or download it to your local machine.\u00a0Now, the imagery can also be uploaded to your cloud storage, making it easily accessible within your ArcGIS Enterprise environment. From there, you can publish it as a dynamic imagery layer, create a mosaic dataset, or perform raster functions on-premises.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\"><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/access-commercial-imagery-in-arcgis\">Learn more about Content Store for ArcGIS<\/a><\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3>Unlock\u00a0Deeper\u00a0Insights with\u00a0Expanded\u00a0Raster\u00a0Support.<\/h3>\n<p><span data-contrast=\"none\">The more data types you can work with in your GIS, the more comprehensive your analysis can be. With ArcGIS Excalibur, you can now gain deeper insights into areas of interest thanks to expanded support for various raster and imagery types, including NITF, GeoEye-1,\u00a0PlanetScope, Worldview-1, Worldview-2, and Worldview-3. This means you can analyze a broader range of geospatial data, from diverse satellite imagery sources, and extract more valuable insights for applications\u00a0across industries and disciplines.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"content","content":"<h2><b><span data-contrast=\"none\">Seamlessly Integrate\u00a0Video Data\u00a0with\u00a0Your GIS Workflows<\/span><\/b><span data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">As GIS continues to evolve, video data is becoming an essential component of spatial analysis and decision-making, right alongside traditional data types like imagery and feature data.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240,&quot;469777462&quot;:[6480],&quot;469777927&quot;:[0],&quot;469777928&quot;:[3]}\">\u00a0<\/span><\/p>\n<h3>Video\u00a0Data\u00a0stored in the\u00a0Cloud\u00a0Meets GIS.<\/h3>\n<p><span data-contrast=\"none\">With ArcGIS Video Server, an optional server extension for ArcGIS Enterprise, you can index, search, publish, and stream videos with geographic and temporal information. The latest release brings added support for video stored in cloud environments, allowing you to maximize your existing cloud investments and collaborate across different cloud platforms. You can deploy ArcGIS Video Server in AWS or Azure, publish video layers directly from multiple cloud providers (including AWS, Azure, Google, and Alibaba), and simplify your video management workflow by eliminating the need to migrate data between cloud providers, saving you time and resources.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335557856&quot;:16777215,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3>Create and\u00a0Share\u00a0Video\u00a0Layers\u00a0with Other ArcGIS Users.<\/h3>\n<p><span data-contrast=\"auto\">You can now author video layers in ArcGIS Pro and ArcGIS\u00a0AllSource\u00a0and publish them directly to ArcGIS Video Server. With this new capability, you can expand the reach of video in your GIS workflows, creating and sharing video layers from both desktop and web clients. This enhancement broadens the use of video across ArcGIS environments, empowering you to leverage video content more effectively in your GIS and collaborate more easily with other video users.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"kaltura","video_id":"1_g492r0ea","time":false,"start":0,"stop":""},{"acf_fc_layout":"content","content":"<p>Publish video layers from ArcGIS Pro and AllSource directly to your enterprise portal, enabling seamless organization-wide access and sharing<\/p>\n"},{"acf_fc_layout":"content","content":"<h3>Automate Time-Consuming Video Processes.<\/h3>\n<p><span data-contrast=\"auto\">The recent public release of the ArcGIS Video Server programming interface enables\u00a0ArcGIS users\u00a0to programmatically interact with the server using the REST API.\u00a0If you&#8217;re a\u00a0developer, this means you can build automation into your apps for tasks like starting and stopping livestreams and querying layers. This automation ultimately benefits end-users by providing more streamlined and efficient video experiences.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"content","content":"<h2><strong><span class=\"TextRun SCXW32061662 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW32061662 BCX0\">Use Imagery to Create a\u00a0<\/span><span class=\"NormalTextRun SCXW32061662 BCX0\">Lifelike GIS<\/span><\/span><span class=\"EOP SCXW32061662 BCX0\" data-ccp-props=\"{&quot;335559739&quot;:0}\">\u00a0<\/span><\/strong><\/h2>\n<p>Achieving a truly lifelike GIS hinges on advanced imagery visualization and interaction. These updates provide enhanced ways to explore, measure, and control how imagery is displayed, offering a more accurate and immersive understanding of your geographic data.<\/p>\n"},{"acf_fc_layout":"content","content":"<h3>Explore Imagery with Smarter Navigation and Improved Measurements<\/h3>\n<p><span data-contrast=\"none\">Oriented\u00a0imagery is an ArcGIS-wide capability that enables users to work with oblique or street-level imagery from sources like drones, phones, tablets, and 360-degree cameras. This release introduces key enhancements to the oriented imagery viewer.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">New navigation options are available, including navigating through images in a predefined sequence and using directional arrows within an image to move to the next available image on the map. These features allow for more systematic exploration and intuitive navigation through image\u00a0collections.<\/span><span data-ccp-props=\"{&quot;335557856&quot;:16777215,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Improved measurement accuracy\u00a0is also available, enabling users to\u00a0measure features like trees or buildings more accurately using\u00a0two\u00a0overlapping\u00a0images. The\u00a0triangulated measurement capability,\u00a0along with\u00a0the ground-based measurement introduced\u00a0earlier, provides\u00a0greater confidence in\u00a0measurement\u00a0results, making them more reliable for analysis and decision-making.<\/span><\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2949199,"id":2949199,"title":"Oriented imagery directional navigation","filename":"image001.gif","filesize":33467697,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/imagery\/whats-new-in-imagery-in-arcgis-enterprise\/image001-3","alt":"Moving images of a street in natural progression.","author":"312882","description":"Navigate street-level scenes in 2D and 3D using the oriented imagery directional controls. You can move seamlessly between adjacent images: left, right, front, or behind.","caption":"Navigate street-level scenes in 2D and 3D using the oriented imagery directional controls. You can move seamlessly between adjacent images: left, right, front, or behind.","name":"image001-3","status":"inherit","uploaded_to":2942254,"date":"2025-11-18 20:59:14","modified":"2025-11-18 21:21:23","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1680,"height":930,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001.gif","medium-width":464,"medium-height":257,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001.gif","medium_large-width":768,"medium_large-height":425,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001.gif","large-width":1680,"large-height":930,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001-1536x850.gif","1536x1536-width":1536,"1536x1536-height":850,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001.gif","2048x2048-width":1680,"2048x2048-height":930,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001-826x457.gif","card_image-width":826,"card_image-height":457,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/image001.gif","wide_image-width":1680,"wide_image-height":930}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3><b><span data-contrast=\"auto\">ArcGIS Reality Server (Beta): Introducing Self Hosted, Scalable Reality Mapping\u00a0<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"auto\">ArcGIS Reality Server debuts as a public beta, offering a scalable, self-hosted solution for reality mapping within ArcGIS Enterprise. This capability enables organizations to generate high-accuracy, photo-realistic 2D and 3D content from drone, aerial, and satellite imagery, supporting large-volume processing across multiple machines. Reality Server integrates seamlessly with ArcGIS, providing secure, high-performance workflows for organizations that require self-hosted reality mapping to build digital twins, extract insights, and transform raw imagery into actionable intelligence.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Organizations using ArcGIS Enterprise can\u00a0participate\u00a0in the beta via the\u00a0<\/span><a href=\"https:\/\/earlyadopter.esri.com\/enter\/\"><span data-contrast=\"none\">Early Adopter Community<\/span><\/a><span data-contrast=\"auto\">. ArcGIS Enterprise 12.0 is\u00a0required\u00a0to use ArcGIS Reality Server.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:true,&quot;134233118&quot;:true,&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"content","content":"<h3>Take\u00a0Control of\u00a0How\u00a0Images are\u00a0Displayed.<\/h3>\n<p><span data-contrast=\"none\">When using collections of imagery,\u00a0it&#8217;s\u00a0essential to be able to display them in\u00a0different ways\u00a0because diverse visual representations can enhance understanding and\u00a0facilitate\u00a0analysis. The new Image Display Order Widget in ArcGIS Experience Builder allows you to define specific rules for how overlapping images are mosaicked and displayed within a mosaic dataset. This means that when multiple images cover the same geographic area, the widget\u00a0determines\u00a0<\/span><span data-contrast=\"none\">\u00a0which\u00a0image is displayed on top<\/span><span data-contrast=\"none\">, based on your defined criteria<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2949166,"id":2949166,"title":"Picture6","filename":"Picture6.png","filesize":177760,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/imagery\/whats-new-in-imagery-in-arcgis-enterprise\/picture6-60","alt":"a satellite image of land and water.","author":"312882","description":"Define rules with metadata to dynamically control how overlapping images display in a mosaic dataset, using the Image Display Order Widget in ArcGIS Experience Builder","caption":"Define rules with metadata to dynamically control how overlapping images display in a mosaic dataset, using the Image Display Order Widget in ArcGIS Experience Builder","name":"picture6-60","status":"inherit","uploaded_to":2942254,"date":"2025-11-18 19:20:05","modified":"2025-11-18 21:27:55","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":470,"height":295,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","medium-width":416,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","medium_large-width":470,"medium_large-height":295,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","large-width":470,"large-height":295,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","1536x1536-width":470,"1536x1536-height":295,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","2048x2048-width":470,"2048x2048-height":295,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","card_image-width":470,"card_image-height":295,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Picture6.png","wide_image-width":470,"wide_image-height":295}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>That&#8217;s a Wrap!<\/h2>\n<p><span class=\"TextRun SCXW40363125 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW40363125 BCX0\">If\u00a0<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">you\u2019d<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">\u00a0like to\u00a0<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">know<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">\u00a0more about\u00a0<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">the latest update to\u00a0<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">ArcGIS Enterprise, read\u00a0<\/span><\/span><a class=\"Hyperlink SCXW40363125 BCX0\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-enterprise\/announcements\/whats-new-in-arcgis-enterprise-12-0\" target=\"_blank\" rel=\"noreferrer noopener\"><span class=\"SCXW40363125 BCX0\"><span class=\"TextRun Underlined SCXW40363125 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun CommentStart SCXW40363125 BCX0\" data-ccp-charstyle=\"Hyperlink\">What\u2019s New in ArcGIS Enterprise.<\/span><\/span><\/span><\/a><span class=\"TextRun SCXW40363125 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW40363125 BCX0\">\u00a0<\/span><\/span><\/p>\n<p><span class=\"TextRun SCXW40363125 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun CommentStart ContextualSpellingAndGrammarErrorV2Themed SCXW40363125 BCX0\">For<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">\u00a0hands on experience<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">\u00a0with imagery tools in ArcGIS Ente<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">r<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">prise<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">, try o<\/span><span class=\"NormalTextRun SCXW40363125 BCX0\">ut some of these step-by-step <a href=\"https:\/\/learn.arcgis.com\/en\/gallery\/#?c=imagery&amp;p=enterprise\">tutorials.<\/a><\/span><\/span><\/p>\n"}],"authors":[{"ID":312882,"user_firstname":"Kristen","user_lastname":"Maglia","nickname":"Kristen Maglia","user_nicename":"kristen-maglia","display_name":"Kristen Maglia","user_email":"kmaglia@esri.com","user_url":"","user_registered":"2022-06-15 18:01:15","user_description":"Kristen is a Senior Product Marketing Manager at Esri, specializing in imagery data management. 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