{"id":2788822,"date":"2025-06-02T06:12:56","date_gmt":"2025-06-02T13:12:56","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2788822"},"modified":"2025-09-08T09:50:31","modified_gmt":"2025-09-08T16:50:31","slug":"seeing-is-believing-aec-workflow-strategies-with-remotely-sensed-data-unveiled","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/aec\/seeing-is-believing-aec-workflow-strategies-with-remotely-sensed-data-unveiled","title":{"rendered":"Seeing is Believing: AEC Workflow Strategies with Remotely Sensed Data Unveiled"},"author":299302,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[615021,23261],"tags":[25001,310972,24511,115262],"industry":[],"product":[421922,36651,36571,400032,679821,767992,36561,408802,36691,672941],"class_list":["post-2788822","blog","type-blog","status-publish","format-standard","hentry","category-aec","category-field-mobility","tag-3d-lidar-point-data","tag-aec","tag-field-data-collection","tag-imagery","product-arcgis","product-drone2map","product-arcgis-enterprise","product-experience-builder","product-field-maps","product-arcgis-image-for-arcgis-online","product-arcgis-pro","product-quickcapture","product-survey123","product-site-scan"],"acf":{"short_description":"Explore AEC workflow strategies with remotely sensed data to enhance decision-making and project success","flexible_content":[{"acf_fc_layout":"image","image":{"ID":2789092,"id":2789092,"title":"AdobeStock_129279307","filename":"AdobeStock_129279307-1-scaled.jpg","filesize":297468,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/aec\/seeing-is-believing-aec-workflow-strategies-with-remotely-sensed-data-unveiled\/adobestock_129279307-2","alt":"","author":"299302","description":"","caption":"","name":"adobestock_129279307-2","status":"inherit","uploaded_to":2788822,"date":"2025-05-09 18:59:33","modified":"2025-05-09 18:59:33","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":2560,"height":1707,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-scaled.jpg","medium-width":391,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-scaled.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-scaled.jpg","large-width":1620,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-1536x1024.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-2048x1365.jpg","2048x2048-width":2048,"2048x2048-height":1365,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-698x465.jpg","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/AdobeStock_129279307-1-1620x1080.jpg","wide_image-width":1620,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">We have noticed a pattern where more and more AEC clients ask us a very similar question: how do we bring all the data we collect in the field into a single place so that we can view it all together and make better decisions? If you are familiar with this question, you may have been asking it yourself or your management team may have asked it from you.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AEC companies are now collecting vast amounts of information from many different sources, and they need workflows and strategies to house the data and visualize it in a way that their stakeholders can understand it. Esri\u2019s technology has long been focused on empowering our users to work with many different data layers, analyze them and then make more informed decisions. Therefore, we have a variety of workflows to help you take your data, process it and visualize it in either a desktop or web environment.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">When data from various sources such as Lidar point clouds, drone imagery, ground imagery, and 360\u00b0 panorama images are brought together, it creates a comprehensive view of the project. This holistic picture allows stakeholders to see the full context and interrelationships between different data sets, leading to more accurate and effective decision-making.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For example, integrating Lidar data with drone imagery can provide both detailed elevation information and high-resolution visual context, which can be crucial for planning and monitoring construction projects. Similarly, combining ground imagery with 360\u00b0 panorama images can offer a complete view of the site, helping to identify potential issues that might not be visible from a single data source<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">But which workflow is suitable for the data being collected in the field by AEC companies?\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This post will provide an overview of the different data sources being collected and then point you to resources where you can learn how to make use of them with the different tools Esri offers.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Let\u2019s start with the data sources Esri currently supports:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Lidar point clouds<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Drone Imagery<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"auto\">2D orthomosaics and elevation surfaces (DSM\/DTM)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"2\"><span data-contrast=\"auto\">3D point clouds and textured meshes<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"2\"><span data-contrast=\"auto\">Inspection images<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"o\" data-font=\"Courier New\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1440,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Courier New&quot;,&quot;469769242&quot;:[9675],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;o&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"2\"><span data-contrast=\"auto\">Video<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Ground Imagery taken from mobile devices using Survey123 and\/or Field Maps<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">360\u00b0 panorama images taken from drones or on the ground<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">The list above will probably grow over time and if you have additional data sources please reach out and we will make sure they are supported in future versions.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Now that we have identified the data sources, let\u2019s dive into each one to learn how to bring them into the Esri technology stack:<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2788862,"id":2788862,"title":"adobestock-26472550","filename":"adobestock-26472550-scaled.jpg","filesize":384572,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/aec\/seeing-is-believing-aec-workflow-strategies-with-remotely-sensed-data-unveiled\/adobestock-26472550","alt":"","author":"299302","description":"","caption":"","name":"adobestock-26472550","status":"inherit","uploaded_to":2788822,"date":"2025-05-09 17:52:40","modified":"2025-05-09 17:52:40","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":2560,"height":1707,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-scaled.jpg","medium-width":391,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-scaled.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-scaled.jpg","large-width":1620,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-1536x1024.jpg","1536x1536-width":1536,"1536x1536-height":1024,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-2048x1365.jpg","2048x2048-width":2048,"2048x2048-height":1365,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-698x465.jpg","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-26472550-1620x1080.jpg","wide_image-width":1620,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span style=\"text-decoration: underline\">1. Lidar point clouds \u2013 ground based\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AEC companies are collecting vast amounts of Lidar data in their projects, and they are mostly from ground-based laser scanners. The raw data is stored in a proprietary format and requires software from the laser scanner manufacturer to convert it into a common format (LAS or LAZ). Most of these point clouds are large and usually split into multiple files for a single area due to their size. Therefore, it is recommended to manage them using a <\/span><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/las-dataset\/create-a-las-datasets.htm\"><span data-contrast=\"none\">LAS dataset<\/span><\/a><span data-contrast=\"auto\">. This data format references the storage location of the point clouds and has tools to optimize their performance when working in ArcGIS Pro. With a LAS dataset you can now visualize all your point clouds together and bring in other data layers to help with your analysis. In some cases, you will want to make your data accessible to other stakeholders using a web browser \u2013 follow <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/imagery\/workflows\/best-practices\/sharing-lidar-points-for-visualization-on-the-web.htm\"><span data-contrast=\"none\">this link<\/span><\/a><span data-contrast=\"auto\"> to learn more on how to get this done with Esri tools.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2789112,"id":2789112,"title":"adobestock-7900393","filename":"adobestock-7900393-scaled.jpg","filesize":124081,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/aec\/seeing-is-believing-aec-workflow-strategies-with-remotely-sensed-data-unveiled\/adobestock-7900393","alt":"","author":"299302","description":"","caption":"","name":"adobestock-7900393","status":"inherit","uploaded_to":2788822,"date":"2025-05-09 19:08:58","modified":"2025-05-09 19:08:58","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":2560,"height":1701,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-scaled.jpg","medium-width":393,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-scaled.jpg","medium_large-width":768,"medium_large-height":510,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-scaled.jpg","large-width":1625,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-1536x1020.jpg","1536x1536-width":1536,"1536x1536-height":1020,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-2048x1361.jpg","2048x2048-width":2048,"2048x2048-height":1361,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-700x465.jpg","card_image-width":700,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-7900393-1626x1080.jpg","wide_image-width":1626,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span style=\"text-decoration: underline\">2. Lidar point clouds \u2013 aerial based\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Esri has curated best practices for working aerial Lidar data which you can <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/imagery\/workflows\/best-practices\/overview.htm\"><span data-contrast=\"none\">review here<\/span><\/a><span data-contrast=\"auto\">. This documentation includes how to <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/imagery\/workflows\/best-practices\/data-sources-and-formats.htm\"><span data-contrast=\"none\">prepare your data<\/span><\/a><span data-contrast=\"auto\">, <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/imagery\/workflows\/best-practices\/managing-lidar-collections-with-las-datasets.htm\"><span data-contrast=\"none\">manage it<\/span><\/a><span data-contrast=\"auto\">, and <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/imagery\/workflows\/best-practices\/creating-derived-rasters.htm\"><span data-contrast=\"none\">derive elevation surfaces<\/span><\/a><span data-contrast=\"auto\"> that are mostly needed for different construction workflows. Esri also now supports specialized sensors that collect Lidar and imagery together with ArcGIS Reality Studio. Read the <\/span><a href=\"https:\/\/doc.esri.com\/en\/arcgis-reality-studio\/latest\/help\/what-is-reality-studio.html\"><span data-contrast=\"none\">documentation here<\/span><\/a><span data-contrast=\"auto\"> if you are working with these sensors and need to process them together.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2789132,"id":2789132,"title":"adobestock-466304885","filename":"adobestock-466304885-scaled.jpg","filesize":632329,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/aec\/seeing-is-believing-aec-workflow-strategies-with-remotely-sensed-data-unveiled\/adobestock-466304885","alt":"","author":"299302","description":"","caption":"","name":"adobestock-466304885","status":"inherit","uploaded_to":2788822,"date":"2025-05-09 19:11:01","modified":"2025-05-09 19:11:01","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":2560,"height":1705,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-scaled.jpg","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-scaled.jpg","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-scaled.jpg","large-width":1622,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-1536x1023.jpg","1536x1536-width":1536,"1536x1536-height":1023,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-2048x1364.jpg","2048x2048-width":2048,"2048x2048-height":1364,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-698x465.jpg","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/adobestock-466304885-1621x1080.jpg","wide_image-width":1621,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span style=\"text-decoration: underline\">3. Drone Imagery\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Images collected by drones are useful in a variety of different ways for AEC companies. The source imagery can be used in workflows as separate images but can also be processed using <\/span><a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-reality\/products\/arcgis-drone2map\"><span data-contrast=\"none\">Drone2Map<\/span><\/a><span data-contrast=\"auto\">, <\/span><a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-reality\/products\/site-scan-for-arcgis\"><span data-contrast=\"none\">Site Scan<\/span><\/a><span data-contrast=\"auto\"> or <\/span><a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-reality\/products\/arcgis-reality-for-arcgis-pro\"><span data-contrast=\"none\">ArcGIS Reality<\/span><\/a><span data-contrast=\"auto\"> to create:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<ul>\n<li><span data-contrast=\"auto\">2D orthomosaics<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">Elevation surfaces (DSM\/DTM)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">3D point clouds (like Lidar points clouds)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<li><span data-contrast=\"auto\">3D textured meshes<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><span data-contrast=\"auto\">All the above outputs can be brought into ArcGIS Pro or ArcGIS Online in different formats:<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">ArcGIS Pro<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720,&quot;335559731&quot;:720}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1800,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/imagery\/mosaic-datasets.htm\"><span data-contrast=\"none\">Mosaic Datasets<\/span><\/a><span data-contrast=\"auto\"> \u2013 for 2D orthomosaics and elevation surfaces\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1800,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/las-dataset\/create-a-las-datasets.htm\"><span data-contrast=\"none\">LAS datasets<\/span><\/a><span data-contrast=\"auto\"> \u2013 for 3D point clouds\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1800,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/create-point-cloud-scene-layer-package.htm\"><span data-contrast=\"none\">Point Cloud Scene Layer Packages<\/span><\/a><span data-contrast=\"auto\"> \u2013 for 3D textured meshes<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">ArcGIS Online<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1800,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><a href=\"https:\/\/doc.arcgis.com\/en\/arcgis-online\/manage-data\/publish-imagery-layers.htm\"><span data-contrast=\"none\">Image Services<\/span><\/a><span data-contrast=\"auto\"> &#8211; for 2D orthomosaics and elevation surfaces<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:1800,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/share-package.htm\"><span data-contrast=\"none\">Scene Layers<\/span><\/a><span data-contrast=\"auto\"> &#8211; for 3D point clouds and 3D textured meshes<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">For visualizing separate images and also 360 panoramic images, Esri has a data format called <\/span><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/introducing-oriented-imagery\"><span data-contrast=\"none\">Oriented Imagery layers<\/span><\/a><span data-contrast=\"auto\"> that can reference imagery taken from direction and bring it into ArcGIS Pro or ArcGIS Online. For videos, Esri has a separate ArcGIS Pro tool called <\/span><a href=\"https:\/\/doc.arcgis.com\/en\/imagery\/workflows\/resources\/visualizing-full-motion-imagery.htm\"><span data-contrast=\"none\">FMV analyst<\/span><\/a><span data-contrast=\"auto\"> which helps you work with this type of data and extract information from it.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2789212,"id":2789212,"title":"survey123-general-images-826x465-utilities-02","filename":"survey123-general-images-826x465-utilities-02.png","filesize":553198,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/aec\/seeing-is-believing-aec-workflow-strategies-with-remotely-sensed-data-unveiled\/survey123-general-images-826x465-utilities-02-2","alt":"","author":"299302","description":"","caption":"","name":"survey123-general-images-826x465-utilities-02-2","status":"inherit","uploaded_to":2788822,"date":"2025-05-09 19:42:21","modified":"2025-05-09 19:42:21","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":826,"height":465,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","large-width":826,"large-height":465,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","1536x1536-width":826,"1536x1536-height":465,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","2048x2048-width":826,"2048x2048-height":465,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/survey123-general-images-826x465-utilities-02.png","wide_image-width":826,"wide_image-height":465}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span style=\"text-decoration: underline\">4. Ground Imagery taken from mobile devices using ArcGIS field apps\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<p><span style=\"text-decoration: underline\">ArcGIS QuickCapture\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Collecting inspection images with ArcGIS QuickCapture is the easiest and quickest way to bring in imagery into the Esri system. This intuitive mobile app can be configured to collect basic information on your assets while simultaneously capturing an image that has all the necessary metadata for Oriented Imagery layers. Esri has a <\/span><a href=\"https:\/\/learn.arcgis.com\/en\/projects\/inspect-assets-with-oriented-images\/\"><span data-contrast=\"none\">tutorial<\/span><\/a><span data-contrast=\"auto\"> that goes through the steps needed to configure this app for an inspection workflow and then shows the images in a web app.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<p><span style=\"text-decoration: underline\">Survey123 \/ Field Maps\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">These mobile apps give you a variety of ways to collect your data and includes the option to add an image. The results are stored in a feature class that has the images as attachments, and these can be displayed in pop-ups when brought into a web app. Another option is to use the <\/span><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/introducing-attachment-viewer\"><span data-contrast=\"none\">Attachment Viewer<\/span><\/a><span data-contrast=\"auto\"> widget inside of a web app for an easier way to view and browse through this imagery. In the future, Survey123 will also have the option to convert the images to Oriented Imagery layers, and we will provide an update when this is available.<\/span><span data-ccp-props=\"{&quot;335559685&quot;:720}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">With these resources at hand, we hope that you can now better understand the different workflows you will need to implement to ingest your data into a workable solution. A suggested next step is that you explore the use of Esri Dashboards and Web Apps to share your data with other stakeholders to help them understand the status of your work and inform them on the decisions you are making based on it.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p>Esri also has several partners that can help you integrate the remotely sensed data you collected into your systems and workflows &#8211; please reach out to us if you would like to learn more about these offerings.<\/p>\n<p><span data-contrast=\"auto\">We hope you have found this post useful and would love to hear your feedback!<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"}],"related_articles":"","authors":[{"ID":299302,"user_firstname":"Asaf","user_lastname":"Even Paz","nickname":"Asaf Even-Paz","user_nicename":"aeven","display_name":"Asaf Even Paz","user_email":"aeven@esri.com","user_url":"","user_registered":"2022-01-13 18:03:02","user_description":"Asaf Even-Paz is an Account Manager on the AEC team. He has been at Esri since 2021 and started out as a Solutions Engineer supporting account managers in various imagery relates sales opportunities. Asaf has an extensive geo-spatial background spanning 20 years and included aerial imagery, traffic information systems and geographic system analysis. He is the Subject Matter Expert for Imagery &amp; Remote Sensing for the AEC team at Esri and helps Esri's clients utilize remotely sensed data as an enterprise asset to increase their safety and cut down costs. Outside of work he enjoys spending time outdoors and watching movies.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/asaf_large-e1746820293894.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":324552,"user_firstname":"Coty","user_lastname":"Welch","nickname":"CWelch","user_nicename":"cwelch","display_name":"Coty Welch","user_email":"CWelch@esri.com","user_url":"","user_registered":"2022-12-21 19:26:07","user_description":"Coty is a Senior Solution Engineer based out of Charlotte, North Carolina and focuses on imagery and various collection methods. Holding a Master's Degree in Geospatial Science and Technology from North Carolina State University, Coty focuses in Drone workflows and leveraging the ArcGIS Imagery Stack to derive meaningful information.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/03\/D23D2B0C-0B0A-4F3E-8148-ED954E0F3752-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":371652,"user_firstname":"Andy","user_lastname":"Lovell","nickname":"Andy Lovell","user_nicename":"alovell","display_name":"Andy Lovell","user_email":"alovell@esri.com","user_url":"","user_registered":"2025-05-12 15:44:00","user_description":"With 20+ years of industry experience Andy provides technical and consulting geospatial services across the architecture, engineering, and construction (AEC) sector. As the Manager Solution Engineering - AEC at Esri, Andy leads a focused team of solutions engineers who advise and support AEC firms to integrate geospatial tools into their business processes and achieve their strategic goals.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/05\/andy-lovell-2025-465x465.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"show_article_image":false,"card_image":false,"wide_image":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Seeing is Believing: AEC Workflow Strategies with Remotely Sensed Data Unveiled<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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