{"id":2940007,"date":"2025-11-14T06:00:14","date_gmt":"2025-11-14T14:00:14","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2940007"},"modified":"2025-12-17T14:55:39","modified_gmt":"2025-12-17T22:55:39","slug":"raster-analytics-in-excalibur","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur","title":{"rendered":"Fire Damage Assessment: A Raster Analysis Approach with ArcGIS Excalibur"},"author":333592,"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":[42301,42641,760962,24651,24661],"industry":[],"product":[325982],"class_list":["post-2940007","blog","type-blog","status-publish","format-standard","hentry","category-imagery","tag-arcgis-enterprise","tag-arcgis-online","tag-damage-assessments","tag-image-analysis","tag-raster-functions","product-excalibur"],"acf":{"related_articles":"","short_description":"Raster Analytics in Excalibur","flexible_content":[{"acf_fc_layout":"content","content":"

The devastating Palisades fire ravaged over <\/span>23,000 acres<\/span> of land and destroyed more than 6,000 structures, leaving a trail of destruction across Los Angeles County. <\/span>For analysts tasked with assessing damage to residential neighborhoods, manually reviewing imagery to <\/span>identify<\/span> damaged or destroyed structures is <\/span>a feasible<\/span> approach, but also labor intensive and time-consuming. A more efficient approach is available through ArcGIS Excalibur, which now <\/span>leverages<\/span> raster analysis tools to streamline the process.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948073,"id":2948073,"title":"Pre_Fire_Imagery_with_RFT","filename":"Pre_Fire_Imagery_with_RFT.png","filesize":2135007,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\/pre_fire_imagery_with_rft","alt":"Excalibur Map Panel","author":"333592","description":"","caption":"Pre-damage view of a Palisades neighborhood with a raster function template","name":"pre_fire_imagery_with_rft","status":"inherit","uploaded_to":2940007,"date":"2025-11-13 17:02:38","modified":"2025-11-14 02:21:17","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":1839,"height":940,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT.png","medium-width":464,"medium-height":237,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT.png","medium_large-width":768,"medium_large-height":393,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT.png","large-width":1839,"large-height":940,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT-1536x785.png","1536x1536-width":1536,"1536x1536-height":785,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT.png","2048x2048-width":1839,"2048x2048-height":940,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT-826x422.png","card_image-width":826,"card_image-height":422,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Imagery_with_RFT.png","wide_image-width":1839,"wide_image-height":940}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

With the recent updates made to ArcGIS Excalibur, our team used the Raster Template tool to facilitate the inspection workflow, allowing us to run a collection of raster functions that accomplished this goal. ArcGIS Excalibur<\/a> is a cloud-based app with easy-to-use tools and workflows for image and video analysis. The new Raster Templates tool in Excalibur supports the use of Raster Function Templates, which aims to streamline analytical workflows by chaining together raster functions, with the goal of producing a specific repeatable output. With these templates, users can apply consistent workflows across raster layers and projects, collaborate more effectively by sharing templates, and save time by repeating a built-in analysis process rather than starting from scratch.<\/p>\n"},{"acf_fc_layout":"content","content":"

Using the Raster Templates Tool in ArcGIS Excalibur<\/h3>\n

In this example, we began by running the Raster Template tool using a Raster Function Template to classify imagery that was taken prior to the Palisades wildfire. Three distinct categories were defined for classifying the data: Built Area, Vegetation, Dry or Barren Land. Once complete, the results for the classified layer were added to the map.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948104,"id":2948104,"title":"Pre_Fire_Classification","filename":"Pre_Fire_Classification.png","filesize":307417,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\/pre_fire_classification","alt":"Pre-Fire Classification","author":"333592","description":"","caption":"Pre-fire classification using 3 categories: Built Area, Vegetation, and Dry or Barren Land","name":"pre_fire_classification","status":"inherit","uploaded_to":2940007,"date":"2025-11-13 17:39:27","modified":"2025-11-14 02:21:34","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":1851,"height":947,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification.png","medium-width":464,"medium-height":237,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification.png","medium_large-width":768,"medium_large-height":393,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification.png","large-width":1851,"large-height":947,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification-1536x786.png","1536x1536-width":1536,"1536x1536-height":786,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification.png","2048x2048-width":1851,"2048x2048-height":947,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification-826x423.png","card_image-width":826,"card_image-height":423,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Pre_Fire_Classification.png","wide_image-width":1851,"wide_image-height":947}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

 <\/p>\n

We ran the Raster Template tool again, this time using imagery that was collected after the wildfire. We also included another category within the classification, \u201cDamaged or Destroyed Built Area\u201d. The introduction of this new class allowed us to place buildings into damaged or undamaged categories.<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948113,"id":2948113,"title":"Post_Fire_Classification","filename":"Post_Fire_Classification.png","filesize":758038,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\/post_fire_classification","alt":"Fire Classification","author":"333592","description":"","caption":"Post-fire classification with additional categories: \u201cDamaged or Destroyed Built Area\u201d","name":"post_fire_classification","status":"inherit","uploaded_to":2940007,"date":"2025-11-13 17:44:07","modified":"2025-11-14 03:17:03","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":1846,"height":946,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification.png","medium-width":464,"medium-height":238,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification.png","medium_large-width":768,"medium_large-height":394,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification.png","large-width":1846,"large-height":946,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification-1536x787.png","1536x1536-width":1536,"1536x1536-height":787,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification.png","2048x2048-width":1846,"2048x2048-height":946,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification-826x423.png","card_image-width":826,"card_image-height":423,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Post_Fire_Classification.png","wide_image-width":1846,"wide_image-height":946}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

 <\/p>\n

Once complete, we ran a second Raster Function Template inside of the Raster Template tool, with the goal of extracting and visualizing only damaged or destroyed buildings from the classified imagery. To achieve this, we used the raster functions Compute Change and Attribute Table chained together inside of a Raster Function Template. After the Raster Tool was completed, the results were overlaid on the map with the damaged buildings identified in red.<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948116,"id":2948116,"title":"Damaged_Houses","filename":"Damaged_Houses.png","filesize":3083856,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\/damaged_houses","alt":"Damaged Homes","author":"333592","description":"","caption":"Final result shows damaged buildings identified in red. ","name":"damaged_houses","status":"inherit","uploaded_to":2940007,"date":"2025-11-13 17:46:25","modified":"2025-11-13 23:40:50","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":1839,"height":949,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses.png","medium-width":464,"medium-height":239,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses.png","medium_large-width":768,"medium_large-height":396,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses.png","large-width":1839,"large-height":949,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses-1536x793.png","1536x1536-width":1536,"1536x1536-height":793,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses.png","2048x2048-width":1839,"2048x2048-height":949,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses-826x426.png","card_image-width":826,"card_image-height":426,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Damaged_Houses.png","wide_image-width":1839,"wide_image-height":949}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

<\/h2>\n

Using Comparison and Observation Tools<\/h2>\n

To further the analysis, we used Excalibur\u2019s Swipe tool to see the differences between the imagery from before and after the wildfire. We zoomed into an area of interest that primarily contained residential buildings and used the Swipe tool to confirm the damage that was detected by the Raster Template tool. The Swipe tool is one of the many comparison tools in Excalibur that enables users to easily perform change detection, automatically uncovering differences between two or more image layers.<\/p>\n"},{"acf_fc_layout":"content","content":"

After verifying the damage to houses and structures, we used an Observation layer hosted by our organization to collect features on top of the imagery. Categorized into different levels of damage, we collected these observations on top of the houses in impacted areas, placing them into the categories of \u201cUndamaged\u201d, \u201cPartially Damaged\u201d, or \u201cDestroyed\u201d.<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948121,"id":2948121,"title":"Observation_Collection","filename":"Observation_Collection.png","filesize":2683796,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\/observation_collection","alt":"","author":"333592","description":"","caption":"Observations collected on houses and categorized into different levels of damage: \u201cUndamaged\u201d, \u201cPartially Damaged\u201d, or \u201cDestroyed\u201d.","name":"observation_collection","status":"inherit","uploaded_to":2940007,"date":"2025-11-13 17:49:32","modified":"2025-11-14 02:17:27","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":1840,"height":943,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection.png","medium-width":464,"medium-height":238,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection.png","medium_large-width":768,"medium_large-height":394,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection.png","large-width":1840,"large-height":943,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection-1536x787.png","1536x1536-width":1536,"1536x1536-height":787,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection.png","2048x2048-width":1840,"2048x2048-height":943,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection-826x423.png","card_image-width":826,"card_image-height":423,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Observation_Collection.png","wide_image-width":1840,"wide_image-height":943}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

 <\/p>\n

Finally, we created image chips using the Chips Observations tool, allowing us to attach image chips directly to each collected feature. These image chips can be referenced later by other users in the organization to view and continue assessing the damaged houses.<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948120,"id":2948120,"title":"Image_Chip_Collection","filename":"Image_Chip_Collection.png","filesize":2046038,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\/image_chip_collection","alt":"","author":"333592","description":"","caption":"Attaching image chips to each collected feature for later reference","name":"image_chip_collection","status":"inherit","uploaded_to":2940007,"date":"2025-11-13 17:49:22","modified":"2025-11-14 02:15:16","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":1840,"height":943,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection.png","medium-width":464,"medium-height":238,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection.png","medium_large-width":768,"medium_large-height":394,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection.png","large-width":1840,"large-height":943,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection-1536x787.png","1536x1536-width":1536,"1536x1536-height":787,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection.png","2048x2048-width":1840,"2048x2048-height":943,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection-826x423.png","card_image-width":826,"card_image-height":423,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Image_Chip_Collection.png","wide_image-width":1840,"wide_image-height":943}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

<\/h2>\n

Sharing Results with the Attachment Viewer<\/h2>\n

To summarize the findings and share the results with our team, we used the Attachment Report tool to export our analysis into the Attachment Viewer web application. The Attachment Viewer streamlines collaboration by allowing us to create a shared report where other members in the organization could browse and review the image chips collected during our analysis.<\/p>\n

 <\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948119,"id":2948119,"title":"Attachment_Report_Tool","filename":"Attachment_Report_Tool.png","filesize":2027992,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/excalibur\/imagery\/raster-analytics-in-excalibur\/attachment_report_tool","alt":"","author":"333592","description":"","caption":"Analysis exported into the Attachment Viewer web application","name":"attachment_report_tool","status":"inherit","uploaded_to":2940007,"date":"2025-11-13 17:49:14","modified":"2025-11-14 02:16:23","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":1915,"height":947,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool.png","medium-width":464,"medium-height":229,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool.png","medium_large-width":768,"medium_large-height":380,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool.png","large-width":1915,"large-height":947,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool-1536x760.png","1536x1536-width":1536,"1536x1536-height":760,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool.png","2048x2048-width":1915,"2048x2048-height":947,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool-826x408.png","card_image-width":826,"card_image-height":408,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/12\/Attachment_Report_Tool.png","wide_image-width":1915,"wide_image-height":947}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

<\/h2>\n

Boosting Productivity on Damage Assessments<\/h2>\n

With just a few steps, we leveraged Excalibur\u2019s tools to classify and compare imagery of damaged houses, categorize the damage detected in that imagery, and export and share findings. The results of this analysis can then be used further to prioritize where resources are allocated, factor into insurance claims, or help mitigate future disasters in the area. By using repeatable workflows with raster function templates, analysts can perform damage assessments more efficiently, overcoming manual processes that are time-consuming and prone to error.<\/p>\n

To learn more about ArcGIS Excalibur, visit the website<\/a> or engage with experts on Esri Community<\/a>. Find out what else in new with Excalibur Documentation.<\/a><\/p>\n

 <\/p>\n"}],"show_article_image":false,"card_image":false,"wide_image":false,"authors":[{"ID":333592,"user_firstname":"Yuri","user_lastname":"Potawsky","nickname":"Yuri Potawsky","user_nicename":"ypotawsky","display_name":"Yuri Potawsky","user_email":"YPotawsky@esri.com","user_url":"","user_registered":"2023-02-23 21:40:44","user_description":"Product Manager for Imagery with a focus on Deep Learning, Python, and Analytics.","user_avatar":""},{"ID":339212,"user_firstname":"Tom","user_lastname":"Merhige","nickname":"Tom Merhige","user_nicename":"tmerhige","display_name":"Tom Merhige","user_email":"tmerhige@esri.com","user_url":"","user_registered":"2023-05-16 13:11:23","user_description":"Tom is a Product Engineer for the Esri Tysons R&D Center who focuses primarily on ArcGIS Excalibur and ArcGIS Video Server.","user_avatar":""},{"ID":309962,"user_firstname":"Alexandra","user_lastname":"Wynn","nickname":"Alexandra Wynn","user_nicename":"awynn","display_name":"Alexandra Wynn","user_email":"awynn@esri.com","user_url":"","user_registered":"2022-05-11 18:42:45","user_description":"Alexandra is a Product Marketing Manager on the Imagery & Remote Sensing team at Esri. She is now working on changing Esri's image analysis story for products like ArcGIS Image Analyst, ArcGIS Excalibur, and features like GeoAI and raster functionality across ArcGIS. Before Esri, Alexandra specialized in CRM, content, and email marketing strategies for top tech companies.","user_avatar":""},{"ID":421471,"user_firstname":"Matt","user_lastname":"Biller","nickname":"Matt Biller","user_nicename":"mbiller","display_name":"Matt Biller","user_email":"mbiller@esri.com","user_url":"","user_registered":"2025-11-14 18:52:47","user_description":"Matt is a Product Engineer for the Esri Tysons R&D Center. 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