{"id":2949461,"date":"2025-11-20T10:39:38","date_gmt":"2025-11-20T18:39:38","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2949461"},"modified":"2025-11-20T10:49:18","modified_gmt":"2025-11-20T18:49:18","slug":"whats-new-in-arcgis-reality-for-arcgis-pro-november-2025","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-for-arcgis-pro-november-2025","title":{"rendered":"What’s New in ArcGIS Reality for ArcGIS Pro (November 2025)"},"author":345552,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[615021,25741,22931],"tags":[769422,771192,780867,768972],"industry":[],"product":[36561],"class_list":["post-2949461","blog","type-blog","status-publish","format-standard","hentry","category-aec","category-electric-gas","category-imagery","tag-arcgis-reality","tag-arcgis-reality-for-arcgis-pro","tag-gaussian-splats","tag-reality-mapping","product-arcgis-pro"],"acf":{"authors":[{"ID":345552,"user_firstname":"Jorge","user_lastname":"Nieto","nickname":"Jorge Nieto","user_nicename":"jnieto","display_name":"Jorge Nieto","user_email":"jnieto@esri.com","user_url":"","user_registered":"2023-09-08 16:51:59","user_description":"Jorge works as a Product Manager for ArcGIS Reality for ArcGIS Pro and ArcGIS Reality Studio. He worked for multiple years as a developer and product owner and has a deep understanding of reality mapping technology and the market.","user_avatar":""},{"ID":423022,"user_firstname":"Christopher","user_lastname":"Patterson","nickname":"Christopher Patterson","user_nicename":"cpatterson","display_name":"Christopher Patterson","user_email":"cpatterson@esri.com","user_url":"","user_registered":"2025-11-20 15:29:41","user_description":"Christopher Patterson is a Principal Product Engineer on the Raster team. He focuses on software design, testing, documentation and product demonstration. He is passionate about helping users understand working with imagery in ArcGIS. Outside work he enjoys nature walks, jogging or fishing.","user_avatar":""}],"short_description":"Learn about the new release of ArcGIS Reality for ArcGIS Pro's capabilities and improvements to productivity and quality.","flexible_content":[{"acf_fc_layout":"content","content":"

The latest release of ArcGIS Reality for ArcGIS Pro delivers a powerful set of enhancements designed to help GIS professionals work smarter, faster, and with greater precision. Read on to learn about the new Gaussian splats generation, the simplified installation process, support for LiDAR data and other significant enhancements to product quality, productivity and sensor support.<\/p>\n

Product Enhancements: Smarter, Faster, More Flexible<\/h2>\n

Gaussian Splats \u2013 A New Era of High-Fidelity 3D<\/h3>\n

This release introduces Gaussian splats, a new 3D layer generated from drone or aerial imagery. Gaussian splats excel at capturing fine-grained details of infrastructure, vegetation, and urban environments with exceptional fidelity, creating a more immersive GIS experience. Plus, you can generate Gaussian splats layers in your desired spatial reference, ensuring seamless integration into existing GIS workflows.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2949537,"id":2949537,"title":"NZ_Substation","filename":"NZ_Substation.png","filesize":1894738,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-for-arcgis-pro-november-2025\/nz_substation","alt":"Imagery provided by Network Waitaki Limited. Gaussian Splats layer of Pukeuri substation in New Zealand","author":"345552","description":"","caption":"Imagery provided by Network Waitaki Limited. Gaussian Splats layer of Pukeuri substation in New Zealand","name":"nz_substation","status":"inherit","uploaded_to":2949461,"date":"2025-11-20 17:12:31","modified":"2025-11-20 17:13:09","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":1093,"height":802,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation.png","medium-width":356,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation.png","medium_large-width":768,"medium_large-height":564,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation.png","large-width":1093,"large-height":802,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation.png","1536x1536-width":1093,"1536x1536-height":802,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation.png","2048x2048-width":1093,"2048x2048-height":802,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation-634x465.png","card_image-width":634,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/NZ_Substation.png","wide_image-width":1093,"wide_image-height":802}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

More Complete True Orthos \u2013 Even in Challenging Areas<\/h3>\n

The generated True Orthos are now more complete, even in areas with low texture or insufficient overlap\u2014such as tall tree canopies or complex structures\u2014eliminating the need for manual gap filling. This results in more production-ready True Orthos straight out of processing.<\/p>\n

Refine Your 3D Mesh Results with Ease<\/h3>\n

New in-app mesh editing tools enable you to create multipatches to correct anomalies in output meshes. These tools are especially effective for fixing gaps on reflective surfaces like glass or noisy results in shadowed areas. Edits trigger reprocessing only for affected tiles, making corrections fast and efficient.<\/p>\n

Selective Tile Reprocessing<\/h3>\n

Beyond mesh editing, selective tile reprocessing enables you to regenerate only the portions of DSMs, True Orthos, or Meshes that need correction based on a shapefile. This dramatically reduces processing time and increases product generation efficiency.<\/p>\n

Reflectance Data Support<\/h3>\n

Reality Mapping products can now be generated from reflectance satellite imagery data such as Maxar\u2019s ACOMP or Airbus Reflectance product. This expands the vendor specific products type natively supported for Reality Mapping processing.<\/p>\n"},{"acf_fc_layout":"content","content":"

General Enhancements: Faster Setup, Expanded Sensor Support<\/h2>\n

Simplified Installation<\/h3>\n

The ArcGIS Reality for ArcGIS Pro Extension installer is now bundled with the core ArcGIS Pro installer, eliminating the need for a separate installation process. This means that you only need to activate the extension license to start integrating Reality Mapping into your workflow. Additional information on licensing can be found here<\/a>.<\/p>\n

Lidar Support for Derived Product Generation<\/h3>\n

You can now integrate aerial lidar with imagery when generating DSMs, True Orthos, DSM Meshes, and 3D Meshes for superior product quality\u2014especially in urban environments, areas with reflective surfaces or street canyons where image coverage may be limited.<\/p>\n

Expanded Satellite Support<\/h3>\n

ArcGIS Reality for ArcGIS Pro now supports the full constellation of Vantor\u2019s WorldView Legion satellites, giving users access to the next generation of very-high-resolution imagery\u2014including up to 15 cm HD quality\u2014directly within their workflows.<\/p>\n

With this added support, organizations can seamlessly ingest, process, and analyze Legion imagery to generate high-fidelity 3D meshes, DSMs, and True Orthos for rapid situational awareness and global monitoring.<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2949536,"id":2949536,"title":"Singapore","filename":"Singapore.png","filesize":1900052,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-for-arcgis-pro-november-2025\/singapore-3","alt":"Imagery courtesy of Vantor \u2013 Singapore DSM Mesh generated from 30cm Worldview Legion, Worldview 3 and Worldview 2 imagery","author":"345552","description":"","caption":"Imagery courtesy of Vantor \u2013 Singapore DSM Mesh generated from 30cm Worldview Legion, Worldview 3 and Worldview 2 imagery","name":"singapore-3","status":"inherit","uploaded_to":2949461,"date":"2025-11-20 17:11:39","modified":"2025-11-20 17:12:14","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":1093,"height":802,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore.png","medium-width":356,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore.png","medium_large-width":768,"medium_large-height":564,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore.png","large-width":1093,"large-height":802,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore.png","1536x1536-width":1093,"1536x1536-height":802,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore.png","2048x2048-width":1093,"2048x2048-height":802,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore-634x465.png","card_image-width":634,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Singapore.png","wide_image-width":1093,"wide_image-height":802}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

GCP Manager: Precision Made Easier<\/h2>\n

Ground Control Points (GCP) are central to producing accurate Reality Mapping outputs. This release delivers significant workflow improvements that streamline GCP management and boost precision.<\/p>\n