Gaussian splats unlock new high-fidelity 3D visualizations<\/strong><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":2949391,"id":2949391,"title":"GS_Portcoast_0_large_4","filename":"GS_Portcoast_0_large_4.gif","filesize":80535723,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/gs_portcoast_0_large_4","alt":"gif of an energy station","author":"9612","description":"","caption":"Gaussian splat layer of a pipe network. Data provided by Portcoast Consultant Corporation.","name":"gs_portcoast_0_large_4","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 18:46:13","modified":"2025-11-19 18:49:41","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":1800,"height":820,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4.gif","medium-width":464,"medium-height":211,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4.gif","medium_large-width":768,"medium_large-height":350,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4.gif","large-width":1800,"large-height":820,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4-1536x700.gif","1536x1536-width":1536,"1536x1536-height":700,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4.gif","2048x2048-width":1800,"2048x2048-height":820,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4-826x376.gif","card_image-width":826,"card_image-height":376,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS_Portcoast_0_large_4.gif","wide_image-width":1800,"wide_image-height":820}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The introduction of Gaussian splats marks a major leap forward in 3D visualization. Gaussian Splats expand the existing ArcGIS Reality outputs\u2014such as True Orthos, 3D meshes and point clouds\u2014offering an additional layer of realism and flexibility. This new 3D layer captures fine details of infrastructure, vegetation, and urban environments with exceptional clarity, enabling organizations to create lifelike representations of the world. Gaussian splats can be created in ArcGIS Drone2Map, ArcGIS Reality for ArcGIS Pro, and ArcGIS Reality Studio, with support coming soon to Site Scan for ArcGIS in 2026. They are viewable in ArcGIS Pro 3.6 and later, and future releases will expand integration and analysis capabilities across the ArcGIS ecosystem. To learn more about this new reality mapping layer we have two new blogs that dive deeper into this topic.<\/p>\n
3 Key Benefits of Gaussian Splat Layers<\/a><\/p>\nHow to Create the Best Gaussian Splats in ArcGIS Reality<\/a><\/p>\n"},{"acf_fc_layout":"content","content":"Delivering visually complete True Orthos of critical areas\u2014even in vegetated areas<\/strong><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":2949408,"id":2949408,"title":"looped_TO_improve","filename":"looped_TO_improve.gif","filesize":13681859,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/looped_to_improve-2","alt":"","author":"9612","description":"","caption":"","name":"looped_to_improve-2","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:03:37","modified":"2025-11-19 20:03:37","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":650,"height":392,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","medium-width":433,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","medium_large-width":650,"medium_large-height":392,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","large-width":650,"large-height":392,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","1536x1536-width":650,"1536x1536-height":392,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","2048x2048-width":650,"2048x2048-height":392,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","card_image-width":650,"card_image-height":392,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","wide_image-width":650,"wide_image-height":392}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Whether monitoring environmental change or planning community development, the latest enhancements to True Ortho generation in ArcGIS Reality generate more complete results over challenging areas such as tree canopy or featureless portions of a site. These enhancements reduce gaps and artifacts, ensuring uninterrupted workflows and reliable analysis. Seamless integration across ArcGIS Drone2Map, ArcGIS Reality Studio, ArcGIS Reality for ArcGIS Pro, and Site Scan for ArcGIS ensure the production of dependable, high-quality True Orthos optimized for immediate analysis and maximum imagery value.<\/p>\n"},{"acf_fc_layout":"content","content":"
Save time with selective tile reprocessing for geospatial refinement<\/strong><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":2949410,"id":2949410,"title":"tiles_reprocess","filename":"tiles_reprocess.gif","filesize":1477089,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/tiles_reprocess-2","alt":"","author":"9612","description":"","caption":"","name":"tiles_reprocess-2","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:05:02","modified":"2025-11-19 20:05:02","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":1195,"height":759,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","medium-width":411,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","medium_large-width":768,"medium_large-height":488,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","large-width":1195,"large-height":759,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","1536x1536-width":1195,"1536x1536-height":759,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","2048x2048-width":1195,"2048x2048-height":759,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess-732x465.gif","card_image-width":732,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","wide_image-width":1195,"wide_image-height":759}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Selective tile reprocessing introduces a faster and more efficient way to refine geospatial outputs, such as True Orthos, DSMs, and point clouds. Instead of reprocessing an entire project, users can now update only the affected tiles when applying corrections like waterbody masks. This capability significantly reduces processing time and disk usage, making it ideal for large-area projects and workflows that require quick iteration. Previously, this was released in the ArcGIS Reality Studio May 2025 update, and is now available in ArcGIS Drone2Map and ArcGIS Reality for ArcGIS Pro.<\/p>\n"},{"acf_fc_layout":"content","content":"
Refine your 3D mesh results with ease <\/strong><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":2949411,"id":2949411,"title":"3d_correction","filename":"3d_correction.gif","filesize":19457260,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/3d_correction","alt":"","author":"9612","description":"","caption":"","name":"3d_correction","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:05:36","modified":"2025-11-19 20:05:36","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":1254,"height":802,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","medium-width":408,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","medium_large-width":768,"medium_large-height":491,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","large-width":1254,"large-height":802,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","1536x1536-width":1254,"1536x1536-height":802,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","2048x2048-width":1254,"2048x2048-height":802,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction-727x465.gif","card_image-width":727,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","wide_image-width":1254,"wide_image-height":802}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Mesh editing capabilities have been expanded to allow users to refine 3D models directly within the application. Integrated multipatch geometry tools make it easy to correct vertical mesh faces and resolve anomalies without relying on external post-processing. This enhancement improves the overall quality and realism of 3D models, particularly for projects involving reflective surfaces or complex urban environments. Previously, this was released in the ArcGIS Reality Studio May 2025 update, and is now available in ArcGIS Drone2Map and ArcGIS Reality for ArcGIS Pro.<\/p>\n"},{"acf_fc_layout":"content","content":"
Site Scan for ArcGIS<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949457,"id":2949457,"title":"2025-11-19_15-17-21","filename":"2025-11-19_15-17-21.png","filesize":312122,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/2025-11-19_15-17-21","alt":"","author":"9612","description":"","caption":"","name":"2025-11-19_15-17-21","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 23:20:10","modified":"2025-11-19 23:20:10","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":768,"height":851,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","medium-width":236,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","medium_large-width":768,"medium_large-height":851,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","large-width":768,"large-height":851,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","1536x1536-width":768,"1536x1536-height":851,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","2048x2048-width":768,"2048x2048-height":851,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21-420x465.png","card_image-width":420,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","wide_image-width":768,"wide_image-height":851}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The latest release streamlines project workflows by supporting all vertical coordinate systems and provides seamless integration with Skydio Cloud, reducing the time and effort required from data capture to processing.<\/p>\n
Adhere to regional standards and specific spatial references\u00a0 <\/strong><\/h3>\nSite Scan now supports all vertical coordinate systems available in the Esri projection engine. This allows users to align their projects with regional standards and accurate spatial references without the need for manual transformations. The result is a streamlined workflow with vertically precise outputs that are immediately ready for use.<\/p>\n
New Integration with Skydio Drones for Fully Autonomous Workflow<\/strong><\/h3>\nA new integration with Skydio Cloud enables a fully autonomous drone mapping workflow within Site Scan by importing and processing imagery from automated drone flights or dock missions, thus eliminating manual steps and significantly reducing turnaround time from data capture to actionable insights.<\/p>\n
Smarter change tracking across missions with Copy Measurements<\/strong><\/h3>\nThe introduction of the Copy Measurements feature makes it easier to track changes over time. Users can now duplicate existing measurements for modified evaluations, improving efficiency and accuracy when monitoring project updates or site modifications.<\/p>\n
Connector tool now available<\/strong><\/h3>\nThe updated publishing tool features a redesigned interface and expanded automation options. In addition to publishing your standard outputs as Tile Layers, you can now publish your True Ortho, DSM, and DTM as Tiled and Dynamic Imagery to enable further analysis capabilities. Oriented Imagery Layers can now be published from Site Scan to ArcGIS Online, allowing members of your organization to conduct inspections using original drone images in an immersive experience.<\/p>\n
To learn about these feature highlights and more read the Site Scan for ArcGIS 2025 Wrap-Up blog<\/a>.<\/p>\n"},{"acf_fc_layout":"content","content":"ArcGIS Reality for ArcGIS Pro<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949502,"id":2949502,"title":"Legion_Singapore3","filename":"Legion_Singapore3.gif","filesize":20375483,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/legion_singapore3","alt":"","author":"9612","description":"Sngapore DSM Mesh generated from 30cm Worldview Legion, Worldview 3 and Worldview 2 imagery, data courtesy of Vantor.","caption":"Singapore DSM Mesh generated from 30cm Worldview Legion, Worldview 3 and Worldview 2 imagery, data courtesy of Vantor.","name":"legion_singapore3","status":"inherit","uploaded_to":2947018,"date":"2025-11-20 16:07:29","modified":"2025-11-20 16:42:10","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":640,"height":640,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","medium_large-width":640,"medium_large-height":640,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","large-width":640,"large-height":640,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","1536x1536-width":640,"1536x1536-height":640,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","2048x2048-width":640,"2048x2048-height":640,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3-465x465.gif","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","wide_image-width":640,"wide_image-height":640}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Frequent and high-resolution updates to 2D and 3D satellite basemaps are now easier to generate with support for the full Vantor (formerly Maxar Intelligence) WorldView Legion satellite constellation, ensuring users always have access to the most current and accurate geospatial information to monitor global situations. Users can also leverage lidar as a supplemental input to their images to deliver more detailed results in challenging urban areas.<\/p>\n
Vantor WorldView Legion Satellite Constellation Support<\/strong><\/h3>\nReality for Pro now supports the full Vantor (formerly Maxar Intelligence) WorldView Legion satellite constellation, dramatically increasing capture frequency at high resolution with up to 15 daily revisits and enabling organizations to access timely, high-resolution imagery for enhanced 2D and 3D basemaps.<\/p>\n
Manual Ground Control Point Tagging and Quality Based Sorting<\/strong><\/h3>\nThe ground control point (GCP) tagging and sorting update gives users more control and efficiency by allowing them to select and tag custom ground control points for improved accuracy, especially in overlapping image blocks. Sorting tagged GCPs by quality score helps quickly identify and fix errors, streamlining quality assurance and producing better alignment results.<\/p>\n
Enhance 3D reconstructions with supplemental lidar<\/strong><\/h3>\nLidar integration has been added as a supplemental input to enhance the quality and detail of DSMs, 3D mesh and True Ortho generation from drone and aerial imagery, particularly in urban areas or environments with reflective surfaces.<\/p>\n
To learn more about these features and more read the What’s New in ArcGIS Reality for ArcGIS Pro blog<\/a><\/p>\n"},{"acf_fc_layout":"content","content":"ArcGIS Drone2Map<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949412,"id":2949412,"title":"3D_web_scenes gif","filename":"3D_web_scenes-gif.gif","filesize":36862997,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/3d_web_scenes-gif","alt":"","author":"9612","description":"","caption":"","name":"3d_web_scenes-gif","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:06:12","modified":"2025-11-19 20:06:12","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":870,"height":400,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","medium-width":464,"medium-height":213,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","medium_large-width":768,"medium_large-height":353,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","large-width":870,"large-height":400,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","1536x1536-width":870,"1536x1536-height":400,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","2048x2048-width":870,"2048x2048-height":400,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif-826x380.gif","card_image-width":826,"card_image-height":380,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","wide_image-width":870,"wide_image-height":400}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Accelerate project delivery by enabling one-click publishing of 3D web scenes and automating key steps such as RTK metadata and ground control point detection\u2014helping users focus more on decision-making and less on manual work.<\/p>\n
Efficient tile-based output with virtual raster tile (VRT) support <\/strong><\/h3>\nDrone2Map now creates virtual raster tiles, allowing efficient tile-based products for large projects and enabling seamless mosaic viewing without creating massive files.<\/p>\n
Automatically apply real-time kinematic (RTK) settings and work with image accuracy values <\/strong><\/h3>\nDrone2Map has enhancements for images from RTK enabled drones, automating process settings and enabling improved quality control.<\/p>\n
Streamlined use of ground control points<\/strong><\/h3>\nDeep learning technology streamlines workflows by automatically detecting and linking ground control points, reducing manual effort.<\/p>\n
Publish 3D scenes in one step <\/strong><\/h3>\nUsers can now publish complete 3D web scenes\u2014with point clouds, meshes, flight data, and more\u2014directly to ArcGIS Online or Enterprise with a single click for easy sharing and integration.<\/p>\n
To learn about all the exciting updates and enhancements in the latest release for ArcGIS Drone2Map, read the What’s New in ArcGIS Drone2Map blog.<\/a><\/p>\n"},{"acf_fc_layout":"content","content":"ArcGIS Reality Studio<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949558,"id":2949558,"title":"image","filename":"image-1.jpg","filesize":81274,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/image-57","alt":"","author":"9612","description":"","caption":"3D mesh of the city of Boston captured by Bluesky International Ltd.","name":"image-57","status":"inherit","uploaded_to":2947018,"date":"2025-11-20 18:01:35","modified":"2025-11-20 18:01:49","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":436,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","medium-width":464,"medium-height":253,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","medium_large-width":768,"medium_large-height":419,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","large-width":800,"large-height":436,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","1536x1536-width":800,"1536x1536-height":436,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","2048x2048-width":800,"2048x2048-height":436,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","card_image-width":800,"card_image-height":436,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","wide_image-width":800,"wide_image-height":436}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"Handle larger and more diverse datasets with minimal effort and with increased efficiency for distributed processing and support for drone input data.<\/p>\n
Faster, scalable image alignment<\/strong><\/h3>\nDistribute large imagery alignment jobs across multiple machines, allowing you to significantly improve scalability and processing speed of your projects.<\/p>\n
Adapt to schedule changes with project priorities<\/strong><\/h3>\nManage job priorities, you can move a single project to the top of the queue to handle urgent customer requests, or group projects with similar delivery timelines together. This way, you avoid having to create multiple workspaces just to manage computer allocation.<\/p>\n
Deploy large processing clusters with the new Reality Studio node<\/strong><\/h3>\nSave time when working with large computer clusters by automating the deployment of ArcGIS Reality Studio across multiple computers in a single script.<\/p>\n
Ensure optimal hardware utilization with smart node assignment<\/strong><\/h3>\nEnsure high productivity and stability when working with machines with different hardware configurations by instructing them to perform the tasks most compatible with their hardware configuration.<\/p>\n
Reduce configuration errors using processing templates<\/strong><\/h3>\nAvoid errors when setting up many projects with the same configuration by creating templates for alignments and reconstructions and increase productivity by reusing the templates across multiple computers.<\/p>\n
Expanded city and countrywide mapping capabilities with drone imagery <\/strong><\/h3>\n\u00a0<\/strong>In addition to processing imagery captured using crewed aircraft, users will now have the option to input nadir and low oblique drone imagery to support scenarios requiring high resolutions over large areas.<\/p>\nTo learn more about these enhancements read the What’s New in ArcGIS Reality Studio<\/a> blog.<\/p>\n"},{"acf_fc_layout":"content","content":"ArcGIS Reality Server (Beta)<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949606,"id":2949606,"title":"Reality Server Beta","filename":"Reality-Server-Beta.jpg","filesize":80325,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/reality-server-beta","alt":"","author":"9612","description":"","caption":"","name":"reality-server-beta","status":"inherit","uploaded_to":2947018,"date":"2025-11-20 20:14:21","modified":"2025-11-20 20:14:21","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":454,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","medium-width":460,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","medium_large-width":768,"medium_large-height":436,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","large-width":800,"large-height":454,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","1536x1536-width":800,"1536x1536-height":454,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","2048x2048-width":800,"2048x2048-height":454,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","card_image-width":800,"card_image-height":454,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","wide_image-width":800,"wide_image-height":454}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"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.<\/p>\n
Organizations using ArcGIS Enterprise can participate in the beta via the Early Adopter Community<\/a>. ArcGIS Enterprise 12.0 is required to use ArcGIS Reality Server.<\/p>\nTo read more on how to get started with ArcGIS Reality Server you can read this introductory blog<\/a>.<\/p>\n"},{"acf_fc_layout":"content","content":"ArcGIS Flight<\/strong><\/h2>\nEarlier this year, we added full support for DJI M3E and M4E drones\u2014two of the most popular drones for mapping and inspection. Check out more by reading this blog<\/a>. In addition, a new application\u2014ArcGIS Flight (US Government edition)<\/a>\u2014has been introduced to meet the unique requirements of government customers, ensuring secure and compliant drone operations.<\/p>\n"},{"acf_fc_layout":"content","content":"Stay Connected<\/strong><\/h2>\nIf you have any questions or ideas, we\u2019d love to hear from you! Visit the\u00a0Esri Community<\/a>\u00a0page and let us know what you think. You can also subscribe to our new Drone Mapping Newsletter to stay in-the-know for all things drone mapping at Esri, sign up today<\/a>!<\/p>\n"}],"authors":[{"ID":9612,"user_firstname":"Reanne","user_lastname":"Barrette","nickname":"Reanne Barrette","user_nicename":"rbarrette","display_name":"Reanne Barrette","user_email":"RBarrette@esri.com","user_url":"","user_registered":"2019-06-04 02:40:28","user_description":"Reanne is the Sr. Product Marketer at Esri for the ArcGIS Reality product family and most things related to drone and aerial mapping. She has a MBA from the University of Redlands, and is continuing to become an imagery enthusiast!","user_avatar":"
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Barrette","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/image\/","url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/Headshot-213x200.jpg","contentUrl":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2019\/06\/Headshot-213x200.jpg","caption":"Reanne Barrette"},"description":"Reanne is the Sr. Product Marketer at Esri for the ArcGIS Reality product family and most things related to drone and aerial mapping. She has a MBA from the University of Redlands, and is continuing to become an imagery enthusiast!","sameAs":["https:\/\/www.linkedin.com\/in\/reanne-barrette-b3023466\/"],"url":"https:\/\/www.esri.com\/arcgis-blog\/author\/rbarrette"}]}},"text_date":"November 20, 2025","author_name":"Reanne Barrette","author_page":"https:\/\/www.esri.com\/arcgis-blog\/author\/rbarrette","custom_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/08\/Newsroom-Keyart-Wide-1920-x-1080.jpg","primary_product":"ArcGIS Pro","tag_data":[{"term_id":769422,"name":"ArcGIS Reality","slug":"arcgis-reality","term_group":0,"term_taxonomy_id":769422,"taxonomy":"post_tag","description":"","parent":0,"count":17,"filter":"raw"},{"term_id":763862,"name":"drone mapping","slug":"drone-mapping","term_group":0,"term_taxonomy_id":763862,"taxonomy":"post_tag","description":"","parent":0,"count":19,"filter":"raw"},{"term_id":763872,"name":"reality capture","slug":"reality-capture","term_group":0,"term_taxonomy_id":763872,"taxonomy":"post_tag","description":"","parent":0,"count":7,"filter":"raw"},{"term_id":768972,"name":"reality mapping","slug":"reality-mapping","term_group":0,"term_taxonomy_id":768972,"taxonomy":"post_tag","description":"","parent":0,"count":26,"filter":"raw"}],"category_data":[{"term_id":22931,"name":"Imagery & Remote Sensing","slug":"imagery","term_group":0,"term_taxonomy_id":22931,"taxonomy":"category","description":"","parent":0,"count":768,"filter":"raw"}],"product_data":[{"term_id":36651,"name":"ArcGIS Drone2Map","slug":"drone2map","term_group":0,"term_taxonomy_id":36651,"taxonomy":"product","description":"","parent":36591,"count":55,"filter":"raw"},{"term_id":775432,"name":"ArcGIS Flight","slug":"flight","term_group":0,"term_taxonomy_id":775432,"taxonomy":"product","description":"","parent":36591,"count":8,"filter":"raw"},{"term_id":36561,"name":"ArcGIS Pro","slug":"arcgis-pro","term_group":0,"term_taxonomy_id":36561,"taxonomy":"product","description":"","parent":0,"count":2040,"filter":"raw"},{"term_id":769412,"name":"ArcGIS Reality Studio","slug":"arcgisrealitystudio","term_group":0,"term_taxonomy_id":769412,"taxonomy":"product","description":"","parent":36591,"count":31,"filter":"raw"},{"term_id":672941,"name":"Site Scan for ArcGIS","slug":"site-scan","term_group":0,"term_taxonomy_id":672941,"taxonomy":"product","description":"","parent":36591,"count":40,"filter":"raw"}],"primary_product_link":"https:\/\/www.esri.com\/arcgis-blog\/?s=#&products=arcgis-pro","_links":{"self":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/2947018","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/users\/9612"}],"replies":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/comments?post=2947018"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/2947018\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/media?parent=2947018"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/categories?post=2947018"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/tags?post=2947018"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/industry?post=2947018"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/product?post=2947018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
How to Create the Best Gaussian Splats in ArcGIS Reality<\/a><\/p>\n"},{"acf_fc_layout":"content","content":" Whether monitoring environmental change or planning community development, the latest enhancements to True Ortho generation in ArcGIS Reality generate more complete results over challenging areas such as tree canopy or featureless portions of a site. These enhancements reduce gaps and artifacts, ensuring uninterrupted workflows and reliable analysis. Seamless integration across ArcGIS Drone2Map, ArcGIS Reality Studio, ArcGIS Reality for ArcGIS Pro, and Site Scan for ArcGIS ensure the production of dependable, high-quality True Orthos optimized for immediate analysis and maximum imagery value.<\/p>\n"},{"acf_fc_layout":"content","content":" Selective tile reprocessing introduces a faster and more efficient way to refine geospatial outputs, such as True Orthos, DSMs, and point clouds. Instead of reprocessing an entire project, users can now update only the affected tiles when applying corrections like waterbody masks. This capability significantly reduces processing time and disk usage, making it ideal for large-area projects and workflows that require quick iteration. Previously, this was released in the ArcGIS Reality Studio May 2025 update, and is now available in ArcGIS Drone2Map and ArcGIS Reality for ArcGIS Pro.<\/p>\n"},{"acf_fc_layout":"content","content":" Mesh editing capabilities have been expanded to allow users to refine 3D models directly within the application. Integrated multipatch geometry tools make it easy to correct vertical mesh faces and resolve anomalies without relying on external post-processing. This enhancement improves the overall quality and realism of 3D models, particularly for projects involving reflective surfaces or complex urban environments. Previously, this was released in the ArcGIS Reality Studio May 2025 update, and is now available in ArcGIS Drone2Map and ArcGIS Reality for ArcGIS Pro.<\/p>\n"},{"acf_fc_layout":"content","content":" The latest release streamlines project workflows by supporting all vertical coordinate systems and provides seamless integration with Skydio Cloud, reducing the time and effort required from data capture to processing.<\/p>\n Site Scan now supports all vertical coordinate systems available in the Esri projection engine. This allows users to align their projects with regional standards and accurate spatial references without the need for manual transformations. The result is a streamlined workflow with vertically precise outputs that are immediately ready for use.<\/p>\n A new integration with Skydio Cloud enables a fully autonomous drone mapping workflow within Site Scan by importing and processing imagery from automated drone flights or dock missions, thus eliminating manual steps and significantly reducing turnaround time from data capture to actionable insights.<\/p>\n The introduction of the Copy Measurements feature makes it easier to track changes over time. Users can now duplicate existing measurements for modified evaluations, improving efficiency and accuracy when monitoring project updates or site modifications.<\/p>\n The updated publishing tool features a redesigned interface and expanded automation options. In addition to publishing your standard outputs as Tile Layers, you can now publish your True Ortho, DSM, and DTM as Tiled and Dynamic Imagery to enable further analysis capabilities. Oriented Imagery Layers can now be published from Site Scan to ArcGIS Online, allowing members of your organization to conduct inspections using original drone images in an immersive experience.<\/p>\n To learn about these feature highlights and more read the Site Scan for ArcGIS 2025 Wrap-Up blog<\/a>.<\/p>\n"},{"acf_fc_layout":"content","content":" Frequent and high-resolution updates to 2D and 3D satellite basemaps are now easier to generate with support for the full Vantor (formerly Maxar Intelligence) WorldView Legion satellite constellation, ensuring users always have access to the most current and accurate geospatial information to monitor global situations. Users can also leverage lidar as a supplemental input to their images to deliver more detailed results in challenging urban areas.<\/p>\n Reality for Pro now supports the full Vantor (formerly Maxar Intelligence) WorldView Legion satellite constellation, dramatically increasing capture frequency at high resolution with up to 15 daily revisits and enabling organizations to access timely, high-resolution imagery for enhanced 2D and 3D basemaps.<\/p>\n The ground control point (GCP) tagging and sorting update gives users more control and efficiency by allowing them to select and tag custom ground control points for improved accuracy, especially in overlapping image blocks. Sorting tagged GCPs by quality score helps quickly identify and fix errors, streamlining quality assurance and producing better alignment results.<\/p>\n Lidar integration has been added as a supplemental input to enhance the quality and detail of DSMs, 3D mesh and True Ortho generation from drone and aerial imagery, particularly in urban areas or environments with reflective surfaces.<\/p>\n To learn more about these features and more read the What’s New in ArcGIS Reality for ArcGIS Pro blog<\/a><\/p>\n"},{"acf_fc_layout":"content","content":" Accelerate project delivery by enabling one-click publishing of 3D web scenes and automating key steps such as RTK metadata and ground control point detection\u2014helping users focus more on decision-making and less on manual work.<\/p>\n Drone2Map now creates virtual raster tiles, allowing efficient tile-based products for large projects and enabling seamless mosaic viewing without creating massive files.<\/p>\n Drone2Map has enhancements for images from RTK enabled drones, automating process settings and enabling improved quality control.<\/p>\n Deep learning technology streamlines workflows by automatically detecting and linking ground control points, reducing manual effort.<\/p>\n Users can now publish complete 3D web scenes\u2014with point clouds, meshes, flight data, and more\u2014directly to ArcGIS Online or Enterprise with a single click for easy sharing and integration.<\/p>\n To learn about all the exciting updates and enhancements in the latest release for ArcGIS Drone2Map, read the What’s New in ArcGIS Drone2Map blog.<\/a><\/p>\n"},{"acf_fc_layout":"content","content":" Handle larger and more diverse datasets with minimal effort and with increased efficiency for distributed processing and support for drone input data.<\/p>\n Distribute large imagery alignment jobs across multiple machines, allowing you to significantly improve scalability and processing speed of your projects.<\/p>\n Manage job priorities, you can move a single project to the top of the queue to handle urgent customer requests, or group projects with similar delivery timelines together. This way, you avoid having to create multiple workspaces just to manage computer allocation.<\/p>\n Save time when working with large computer clusters by automating the deployment of ArcGIS Reality Studio across multiple computers in a single script.<\/p>\n Ensure high productivity and stability when working with machines with different hardware configurations by instructing them to perform the tasks most compatible with their hardware configuration.<\/p>\n Avoid errors when setting up many projects with the same configuration by creating templates for alignments and reconstructions and increase productivity by reusing the templates across multiple computers.<\/p>\n \u00a0<\/strong>In addition to processing imagery captured using crewed aircraft, users will now have the option to input nadir and low oblique drone imagery to support scenarios requiring high resolutions over large areas.<\/p>\n To learn more about these enhancements read the What’s New in ArcGIS Reality Studio<\/a> blog.<\/p>\n"},{"acf_fc_layout":"content","content":" 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.<\/p>\n Organizations using ArcGIS Enterprise can participate in the beta via the Early Adopter Community<\/a>. ArcGIS Enterprise 12.0 is required to use ArcGIS Reality Server.<\/p>\n To read more on how to get started with ArcGIS Reality Server you can read this introductory blog<\/a>.<\/p>\n"},{"acf_fc_layout":"content","content":" Earlier this year, we added full support for DJI M3E and M4E drones\u2014two of the most popular drones for mapping and inspection. Check out more by reading this blog<\/a>. In addition, a new application\u2014ArcGIS Flight (US Government edition)<\/a>\u2014has been introduced to meet the unique requirements of government customers, ensuring secure and compliant drone operations.<\/p>\n"},{"acf_fc_layout":"content","content":" If you have any questions or ideas, we\u2019d love to hear from you! Visit the\u00a0Esri Community<\/a>\u00a0page and let us know what you think. You can also subscribe to our new Drone Mapping Newsletter to stay in-the-know for all things drone mapping at Esri, sign up today<\/a>!<\/p>\n"}],"authors":[{"ID":9612,"user_firstname":"Reanne","user_lastname":"Barrette","nickname":"Reanne Barrette","user_nicename":"rbarrette","display_name":"Reanne Barrette","user_email":"RBarrette@esri.com","user_url":"","user_registered":"2019-06-04 02:40:28","user_description":"Reanne is the Sr. Product Marketer at Esri for the ArcGIS Reality product family and most things related to drone and aerial mapping. She has a MBA from the University of Redlands, and is continuing to become an imagery enthusiast!","user_avatar":"Delivering visually complete True Orthos of critical areas\u2014even in vegetated areas<\/strong><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":2949408,"id":2949408,"title":"looped_TO_improve","filename":"looped_TO_improve.gif","filesize":13681859,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/looped_to_improve-2","alt":"","author":"9612","description":"","caption":"","name":"looped_to_improve-2","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:03:37","modified":"2025-11-19 20:03:37","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":650,"height":392,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","medium-width":433,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","medium_large-width":650,"medium_large-height":392,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","large-width":650,"large-height":392,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","1536x1536-width":650,"1536x1536-height":392,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","2048x2048-width":650,"2048x2048-height":392,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","card_image-width":650,"card_image-height":392,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/looped_TO_improve.gif","wide_image-width":650,"wide_image-height":392}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Save time with selective tile reprocessing for geospatial refinement<\/strong><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":2949410,"id":2949410,"title":"tiles_reprocess","filename":"tiles_reprocess.gif","filesize":1477089,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/tiles_reprocess-2","alt":"","author":"9612","description":"","caption":"","name":"tiles_reprocess-2","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:05:02","modified":"2025-11-19 20:05:02","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":1195,"height":759,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","medium-width":411,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","medium_large-width":768,"medium_large-height":488,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","large-width":1195,"large-height":759,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","1536x1536-width":1195,"1536x1536-height":759,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","2048x2048-width":1195,"2048x2048-height":759,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess-732x465.gif","card_image-width":732,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/tiles_reprocess.gif","wide_image-width":1195,"wide_image-height":759}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Refine your 3D mesh results with ease <\/strong><\/h3>\n"},{"acf_fc_layout":"image","image":{"ID":2949411,"id":2949411,"title":"3d_correction","filename":"3d_correction.gif","filesize":19457260,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/3d_correction","alt":"","author":"9612","description":"","caption":"","name":"3d_correction","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:05:36","modified":"2025-11-19 20:05:36","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":1254,"height":802,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","medium-width":408,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","medium_large-width":768,"medium_large-height":491,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","large-width":1254,"large-height":802,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","1536x1536-width":1254,"1536x1536-height":802,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","2048x2048-width":1254,"2048x2048-height":802,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction-727x465.gif","card_image-width":727,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3d_correction.gif","wide_image-width":1254,"wide_image-height":802}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Site Scan for ArcGIS<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949457,"id":2949457,"title":"2025-11-19_15-17-21","filename":"2025-11-19_15-17-21.png","filesize":312122,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/2025-11-19_15-17-21","alt":"","author":"9612","description":"","caption":"","name":"2025-11-19_15-17-21","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 23:20:10","modified":"2025-11-19 23:20:10","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":768,"height":851,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","medium-width":236,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","medium_large-width":768,"medium_large-height":851,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","large-width":768,"large-height":851,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","1536x1536-width":768,"1536x1536-height":851,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","2048x2048-width":768,"2048x2048-height":851,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21-420x465.png","card_image-width":420,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/2025-11-19_15-17-21.png","wide_image-width":768,"wide_image-height":851}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Adhere to regional standards and specific spatial references\u00a0 <\/strong><\/h3>\n
New Integration with Skydio Drones for Fully Autonomous Workflow<\/strong><\/h3>\n
Smarter change tracking across missions with Copy Measurements<\/strong><\/h3>\n
Connector tool now available<\/strong><\/h3>\n
ArcGIS Reality for ArcGIS Pro<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949502,"id":2949502,"title":"Legion_Singapore3","filename":"Legion_Singapore3.gif","filesize":20375483,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/legion_singapore3","alt":"","author":"9612","description":"Sngapore DSM Mesh generated from 30cm Worldview Legion, Worldview 3 and Worldview 2 imagery, data courtesy of Vantor.","caption":"Singapore DSM Mesh generated from 30cm Worldview Legion, Worldview 3 and Worldview 2 imagery, data courtesy of Vantor.","name":"legion_singapore3","status":"inherit","uploaded_to":2947018,"date":"2025-11-20 16:07:29","modified":"2025-11-20 16:42:10","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":640,"height":640,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","medium_large-width":640,"medium_large-height":640,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","large-width":640,"large-height":640,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","1536x1536-width":640,"1536x1536-height":640,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","2048x2048-width":640,"2048x2048-height":640,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3-465x465.gif","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Legion_Singapore3.gif","wide_image-width":640,"wide_image-height":640}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Vantor WorldView Legion Satellite Constellation Support<\/strong><\/h3>\n
Manual Ground Control Point Tagging and Quality Based Sorting<\/strong><\/h3>\n
Enhance 3D reconstructions with supplemental lidar<\/strong><\/h3>\n
ArcGIS Drone2Map<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949412,"id":2949412,"title":"3D_web_scenes gif","filename":"3D_web_scenes-gif.gif","filesize":36862997,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/3d_web_scenes-gif","alt":"","author":"9612","description":"","caption":"","name":"3d_web_scenes-gif","status":"inherit","uploaded_to":2947018,"date":"2025-11-19 20:06:12","modified":"2025-11-19 20:06:12","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":870,"height":400,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","medium-width":464,"medium-height":213,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","medium_large-width":768,"medium_large-height":353,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","large-width":870,"large-height":400,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","1536x1536-width":870,"1536x1536-height":400,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","2048x2048-width":870,"2048x2048-height":400,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif-826x380.gif","card_image-width":826,"card_image-height":380,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/3D_web_scenes-gif.gif","wide_image-width":870,"wide_image-height":400}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Efficient tile-based output with virtual raster tile (VRT) support <\/strong><\/h3>\n
Automatically apply real-time kinematic (RTK) settings and work with image accuracy values <\/strong><\/h3>\n
Streamlined use of ground control points<\/strong><\/h3>\n
Publish 3D scenes in one step <\/strong><\/h3>\n
ArcGIS Reality Studio<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949558,"id":2949558,"title":"image","filename":"image-1.jpg","filesize":81274,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/image-57","alt":"","author":"9612","description":"","caption":"3D mesh of the city of Boston captured by Bluesky International Ltd.","name":"image-57","status":"inherit","uploaded_to":2947018,"date":"2025-11-20 18:01:35","modified":"2025-11-20 18:01:49","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":436,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","medium-width":464,"medium-height":253,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","medium_large-width":768,"medium_large-height":419,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","large-width":800,"large-height":436,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","1536x1536-width":800,"1536x1536-height":436,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","2048x2048-width":800,"2048x2048-height":436,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","card_image-width":800,"card_image-height":436,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/image-1.jpg","wide_image-width":800,"wide_image-height":436}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
Faster, scalable image alignment<\/strong><\/h3>\n
Adapt to schedule changes with project priorities<\/strong><\/h3>\n
Deploy large processing clusters with the new Reality Studio node<\/strong><\/h3>\n
Ensure optimal hardware utilization with smart node assignment<\/strong><\/h3>\n
Reduce configuration errors using processing templates<\/strong><\/h3>\n
Expanded city and countrywide mapping capabilities with drone imagery <\/strong><\/h3>\n
ArcGIS Reality Server (Beta)<\/strong><\/h2>\n"},{"acf_fc_layout":"image","image":{"ID":2949606,"id":2949606,"title":"Reality Server Beta","filename":"Reality-Server-Beta.jpg","filesize":80325,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-arcgis-reality-november-2025\/reality-server-beta","alt":"","author":"9612","description":"","caption":"","name":"reality-server-beta","status":"inherit","uploaded_to":2947018,"date":"2025-11-20 20:14:21","modified":"2025-11-20 20:14:21","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":454,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","medium-width":460,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","medium_large-width":768,"medium_large-height":436,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","large-width":800,"large-height":454,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","1536x1536-width":800,"1536x1536-height":454,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","2048x2048-width":800,"2048x2048-height":454,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","card_image-width":800,"card_image-height":454,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Reality-Server-Beta.jpg","wide_image-width":800,"wide_image-height":454}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"
ArcGIS Flight<\/strong><\/h2>\n
Stay Connected<\/strong><\/h2>\n
"}],"related_articles":[{"ID":2949473,"post_author":"345552","post_date":"2025-11-20 11:31:20","post_date_gmt":"2025-11-20 19:31:20","post_content":"","post_title":"What's New in ArcGIS Reality Studio (November 2025)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-reality-studio-november-2025","to_ping":"","pinged":"","post_modified":"2025-11-20 11:31:20","post_modified_gmt":"2025-11-20 19:31:20","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2949473","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2949461,"post_author":"345552","post_date":"2025-11-20 10:39:38","post_date_gmt":"2025-11-20 18:39:38","post_content":"","post_title":"What's New in ArcGIS Reality for ArcGIS Pro (November 2025)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-reality-for-arcgis-pro-november-2025","to_ping":"","pinged":"","post_modified":"2025-11-20 10:49:18","post_modified_gmt":"2025-11-20 18:49:18","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2949461","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2949074,"post_author":"345392","post_date":"2025-11-18 11:45:42","post_date_gmt":"2025-11-18 19:45:42","post_content":"","post_title":"2025 Wrap-Up: Elevating Reality Mapping with Site Scan for ArcGIS","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"2025-wrap-up-elevating-reality-mapping-with-site-scan-for-arcgis","to_ping":"","pinged":"","post_modified":"2025-11-20 07:34:24","post_modified_gmt":"2025-11-20 15:34:24","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2949074","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2945205,"post_author":"291562","post_date":"2025-11-20 11:35:59","post_date_gmt":"2025-11-20 19:35:59","post_content":"","post_title":"What's New in ArcGIS Drone2Map 2025.2","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-drone2map-2025-2","to_ping":"","pinged":"","post_modified":"2025-12-09 09:04:46","post_modified_gmt":"2025-12-09 17:04:46","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2945205","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2949660,"post_author":"339752","post_date":"2025-11-20 20:26:09","post_date_gmt":"2025-11-21 04:26:09","post_content":"","post_title":"Introducing ArcGIS Reality Server (Beta) for ArcGIS Enterprise 12.0: Scalable, Self-Hosted Reality Mapping for ArcGIS Enterprise","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"arcgis-reality-server-for-arcgis-enterprise-12-0","to_ping":"","pinged":"","post_modified":"2025-11-21 16:37:21","post_modified_gmt":"2025-11-22 00:37:21","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2949660","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2947046,"post_author":"10362","post_date":"2025-11-05 02:13:45","post_date_gmt":"2025-11-05 10:13:45","post_content":"","post_title":"3 Key Benefits of Gaussian Splat Layers","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"3-key-benefits-of-gaussian-splat-layers","to_ping":"","pinged":"","post_modified":"2025-11-13 04:56:01","post_modified_gmt":"2025-11-13 12:56:01","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2947046","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"2","filter":"raw"}],"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/GS-826x465-1.jpg","wide_image":false},"yoast_head":"\n