{"id":2977929,"date":"2026-07-27T04:28:51","date_gmt":"2026-07-27T11:28:51","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2977929"},"modified":"2026-07-27T04:28:51","modified_gmt":"2026-07-27T11:28:51","slug":"accurate-water-mapping-made-easy-with-arcgis-reality-studio","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio","title":{"rendered":"Accurate Water Mapping Made Easy with ArcGIS Reality Studio"},"author":466416,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22931,23051],"tags":[769422,768972],"industry":[],"product":[769412],"class_list":["post-2977929","blog","type-blog","status-publish","format-standard","hentry","category-imagery","category-water","tag-arcgis-reality","tag-reality-mapping","product-arcgisrealitystudio"],"acf":{"authors":[{"ID":466416,"user_firstname":"Florin","user_lastname":"Lucaciu","nickname":"Florin Lucaciu","user_nicename":"flucaciu","display_name":"Florin Lucaciu","user_email":"flucaciu@esri.com","user_url":"","user_registered":"2026-07-21 17:34:53","user_description":"As a Product Engineer for Reality Mapping, working at the Esri R&amp;D Center Stuttgart, I specialize in 3D reconstruction over large areas.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Florin_8_cropped-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"Learn about ArcGIS Reality Studio's portfolio of tools and workflows to accurately reconstruct water surfaces with minimum effort.","flexible_content":[{"acf_fc_layout":"image","image":{"ID":2977948,"id":2977948,"title":"Banner","filename":"Banner.jpg","filesize":619116,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\/banner-395","alt":"Berlin-Potsdam Mesh Reconstruction. Data courtesy for all images in this article: Aerowest GmbH","author":"466416","description":"Berlin-Potsdam Mesh Reconstruction. Data courtesy for all images in this article: Aerowest GmbH","caption":"Berlin-Potsdam Mesh Reconstruction. Data courtesy for all images in this article: Aerowest GmbH","name":"banner-395","status":"inherit","uploaded_to":2977929,"date":"2026-07-22 13:09:13","modified":"2026-07-22 13:33:35","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":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner.jpg","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner.jpg","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner.jpg","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner-1536x864.jpg","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner.jpg","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner-826x465.jpg","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner.jpg","wide_image-width":1920,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>ArcGIS Reality Studio 2026.1 brings new tools and workflows to support the production of accurate results over water surfaces, with low effort.<\/p>\n<h1>Reality Mapping over Water<\/h1>\n<p>Reconstructing extensive water surfaces poses challenges, because of their reflective, transparent and fluid nature. By default, results typically suffer from prominent noise, data gaps or other defects. One traditional strategy to overcome this is to support the automatic reconstruction algorithm by indicating exactly the shorelines and simply interpolating inside them with flat surfaces. Consequently, results over water appear calm, with realistic texture, and typically free of reflection and other artefacts. ArcGIS Reality Studio incorporates this concept with <a href=\"https:\/\/doc.esri.com\/en\/arcgis-reality-studio\/latest\/help\/geometries-in-reality-studio.html#4B6\">Water Body Geometries<\/a>.<\/p>\n<p>Provided that the shorelines are precisely indicated, high quality results over water are guaranteed. However, this can be a laborious task, especially when the waterline is complex, there is infrastructure along the waterfront, or objects on the water (e.g. boats, piers and docks, bridges, etc.). Of course, the digitization of Water Body Geometries also requires a source of ground truth (e.g. background maps, surveys, data archives, \u2026).<\/p>\n<h2>Previous Portfolio<\/h2>\n<p>Earlier ArcGIS Reality Studio versions have already supported such workflows. The <strong>Globe<\/strong> indicates permanent water bodies and can be utilized as support for digitizing the Water Body Geometries. \u00a0In an initiative to alleviate the difficulty of digitizing Precise Water Bodies, the concept was augmented with the <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/streamline-your-reality-mapping-projects-with-the-new-coarse-water-workflow\">Coarse Water Body<\/a>. Here users don&#8217;t have to exclude bridges, piers and other solid objects from the water body geometry. Instead, they leave it to the automatic algorithm to distinguish along the shoreline the water (to be interpolated) from other surfaces (to be reconstructed from actual observations).<\/p>\n<h2>New Features<\/h2>\n<p>The previous portfolio for dealing with water surfaces is enriched with new functions in ArcGIS Reality Studio 2026.1.<\/p>\n<ul>\n<li>The new version allows to <a href=\"https:\/\/doc.esri.com\/en\/arcgis-reality-studio\/latest\/help\/add-reference-data.html\"><strong>add external data on the Globe<\/strong><\/a> before production. Users can now leverage existing data like Orthomosaics, elevation raster layers and more, as support for the digitization of Water Body Geometries. This enables, for example, to digitize shorelines that are captured in different positions than what the Globe shows (e.g. areas affected by strong tides or seasonal flooding). The external data can also serve as a more accurate elevation source.<\/li>\n<li>Should the external data not be available or sufficient for digitization of Water Body Geometries, a quick preview of the captured surface can be generated for the same purpose, by running a <a href=\"https:\/\/doc.esri.com\/en\/arcgis-reality-studio\/latest\/help\/whats-new-in-reality-studio.html#ZXV\"><strong>Reconstruction in Rapid quality<\/strong><\/a>. Requiring minor processing time, the resulting layers ensure fidelity, having been generated from the actual imagery that captured the scene.<\/li>\n<li>Lastly, the <a href=\"https:\/\/doc.esri.com\/en\/arcgis-reality-studio\/latest\/help\/geometries-in-reality-studio.html#4B6\"><strong>Coarse and Precise Water Body Geometries<\/strong><\/a> may be flexibly employed <em>iteratively and \/ or in parallel<\/em>, to reach the best results with minimal digitization effort. If the Coarse Water Body method leaves in rare cases sporadic noise over water, this can be addressed by adding Precise Water Body Geometries over the problematic patches. The iterative process is quick in both manual digitization, as well as in the automatic (re)processing.<\/li>\n<\/ul>\n<h1>Case Study: Mapping the Waters in Berlin-Potsdam Area<\/h1>\n<p>This section illustrates how ArcGIS Reality Studio\u2019s portfolio of tools can be employed, to achieve an accurate reconstruction over an area with extensive water surfaces and complex shorelines, with low effort.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2977930,"id":2977930,"title":"0_Berlin_Globe_Together","filename":"0_Berlin_Globe_Together-scaled.jpg","filesize":258196,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\/0_berlin_globe_together","alt":"Berlin-Potsdam Project Area on the Globe in ArcGIS Reality Studio","author":"466416","description":"Berlin-Potsdam Project Area on the Globe in ArcGIS Reality Studio","caption":"Berlin-Potsdam Project Area on the Globe in ArcGIS Reality Studio","name":"0_berlin_globe_together","status":"inherit","uploaded_to":2977929,"date":"2026-07-22 07:09:28","modified":"2026-07-22 13:44:48","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":1096,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-scaled.jpg","medium-width":464,"medium-height":199,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-scaled.jpg","medium_large-width":768,"medium_large-height":329,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-scaled.jpg","large-width":1920,"large-height":822,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-1536x658.jpg","1536x1536-width":1536,"1536x1536-height":658,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-2048x877.jpg","2048x2048-width":2048,"2048x2048-height":877,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-826x354.jpg","card_image-width":826,"card_image-height":354,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/0_Berlin_Globe_Together-1920x822.jpg","wide_image-width":1920,"wide_image-height":822}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>A first glance at the project area on the Globe in ArcGIS Reality Studio shows the extent of the water bodies (in dark blue). Out of ~1200 Km<sup>2<\/sup> of the total area, ~90 Km<sup>2<\/sup> is water, delimited by ~850 Km of shoreline. However, the true complexity of the water lines becomes apparent when inspecting the captured aerial images, which reveal the situation at the time the dataset was captured.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2977935,"id":2977935,"title":"Berlin-Potsdam-Image-Water-Together","filename":"Berlin-Potsdam-Image-Water-Together-scaled.jpg","filesize":687548,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\/berlin-potsdam-image-water-together","alt":"Aerial images capture the infrastructure along the water lines. Bridges, piers and boats increase the complexity of delineating the water contour.","author":"466416","description":"Aerial images capture the infrastructure along the water lines. Bridges, piers and boats increase the complexity of delineating the water contour.","caption":"Aerial images capture the infrastructure along the water lines. Bridges, piers and boats increase the complexity of delineating the water contour.","name":"berlin-potsdam-image-water-together","status":"inherit","uploaded_to":2977929,"date":"2026-07-22 07:29:18","modified":"2026-07-22 07:29:56","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":1326,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-scaled.jpg","medium-width":464,"medium-height":240,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-scaled.jpg","medium_large-width":768,"medium_large-height":398,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-scaled.jpg","large-width":1920,"large-height":995,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-1536x795.jpg","1536x1536-width":1536,"1536x1536-height":795,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-2048x1061.jpg","2048x2048-width":2048,"2048x2048-height":1061,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-826x428.jpg","card_image-width":826,"card_image-height":428,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Berlin-Potsdam-Image-Water-Together-1920x994.jpg","wide_image-width":1920,"wide_image-height":994}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>In these circumstances, a precise digitization of the Water Body Geometries would involve a high effort. The collection of features in ArcGIS Reality Studio mentioned earlier reveals a better strategy. The contour of all water bodies can be loosely indicated through a <em>Coarse Water Body Geometry<\/em>, which can be specified for the Reconstruction. Any remaining noise or inconsistency following this first processing iteration can be resolved by <em>adding a<\/em> <em>Precise Water Body Geometry <\/em>in a subsequent localized processing iteration, which will ensure that all water surfaces are constrained to planes at the right elevation.<\/p>\n<h2>Supporting Layers for Digitization<\/h2>\n<p>As mentioned earlier, the Globe itself serves as an indication where the Water Body Geometries should be digitized. Additional layers may be added or prepared, in accordance with the captured data. This increases confidence that the Coarse Water Body Geometries are digitized at the correct location and with an accurate elevation.<\/p>\n<ul>\n<li>Existing data from archives, such as Digital Elevation Models or Orthomosaics can be added as <em>External Raster Data<\/em> into the project.<\/li>\n<li>A Reconstruction in Rapid quality level produces a True Ortho and \/ or DSM layer in a fraction of the usual time.<\/li>\n<\/ul>\n<p>Either of these, or both together, provide background support for digitizing Water Body Geometries.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2977937,"id":2977937,"title":"8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body","filename":"8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-scaled.jpg","filesize":621824,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\/8-berlin-potsdam-to-rapid-coarse-water-body","alt":"Digitizing Coarse Water Body Geometries over True Ortho in Rapid quality","author":"466416","description":"Digitizing Coarse Water Body Geometries over True Ortho in Rapid quality","caption":"Digitizing Coarse Water Body Geometries over True Ortho in Rapid quality","name":"8-berlin-potsdam-to-rapid-coarse-water-body","status":"inherit","uploaded_to":2977929,"date":"2026-07-22 07:33:03","modified":"2026-07-22 07:33:20","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":1676,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-scaled.jpg","medium-width":399,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-scaled.jpg","medium_large-width":768,"medium_large-height":503,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-scaled.jpg","large-width":1650,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-1536x1006.jpg","1536x1536-width":1536,"1536x1536-height":1006,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-2048x1341.jpg","2048x2048-width":2048,"2048x2048-height":1341,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-710x465.jpg","card_image-width":710,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/8-Berlin-Potsdam-TO-Rapid-Coarse-Water-Body-1650x1080.jpg","wide_image-width":1650,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>The digitization of the Coarse Water Body Geometry avoids the intricacies of the complex water lines, with all the objects along them. Instead, the outline is drawn outside the actual shoreline, requiring few vertices and consequently less effort.<\/p>\n<p>Next, the Reconstruction is configured and submitted for processing, considering the digitized Geometries specified as Coarse Water Body.<\/p>\n<h2>First Iteration Results<\/h2>\n<p>After the automatic distributed processing of the Reconstruction, results are ready for inspection. The reconstructed surface over water looks flat and calm in most cases. Although the Coarse Water Body Geometry includes objects on the water and along the shoreline, the automatic algorithm distinguishes them from the actual water (which is flattened) and reconstructs them from real image observations.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2977953,"id":2977953,"title":"Initial_Recon_Mesh_Results","filename":"Initial_Recon_Mesh_Results-scaled.jpg","filesize":442994,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\/initial_recon_mesh_results","alt":"Reconstruction Mesh results following use of Coarse Water Body Geometry","author":"466416","description":"Reconstruction Mesh results following use of Coarse Water Body Geometry","caption":"Reconstruction Mesh results following use of Coarse Water Body Geometry","name":"initial_recon_mesh_results","status":"inherit","uploaded_to":2977929,"date":"2026-07-22 13:49:40","modified":"2026-07-22 13:49:51","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":929,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-scaled.jpg","medium-width":464,"medium-height":168,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-scaled.jpg","medium_large-width":768,"medium_large-height":279,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-scaled.jpg","large-width":1920,"large-height":697,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-1536x557.jpg","1536x1536-width":1536,"1536x1536-height":557,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-2048x743.jpg","2048x2048-width":2048,"2048x2048-height":743,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-826x300.jpg","card_image-width":826,"card_image-height":300,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Initial_Recon_Mesh_Results-1920x697.jpg","wide_image-width":1920,"wide_image-height":697}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Even so, correctly detecting and constraining water to a flat surface with 100% accuracy remains a challenge, and noisy reconstruction may be found in some isolated positions.<\/p>\n<h2>Fine-tuning<\/h2>\n<p>For these cases, Precise Water Body Geometries may be applied in a subsequent processing iteration. In contrast to the Coarse type, the Precise one guarantees the flattening of the surfaces inside its borders. This is the reason why Precise Water Body Geometries should include only water surfaces, while any solid objects must be excluded from within their borders, otherwise they are also flattened.<\/p>\n<p>In this context, the digitization of the Precise Water Body Geometry is fast and limited to the few positions where it is needed. It is sufficient to roughly encompass the noisy patches with polygons containing a minimum number of vertices.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2977938,"id":2977938,"title":"WB_Digitization_around_noisy_patches","filename":"WB_Digitization_around_noisy_patches-scaled.jpg","filesize":168241,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\/wb_digitization_around_noisy_patches","alt":"Precise Water Body digitization around noisy patches (right image, in light blue)","author":"466416","description":"Precise Water Body digitization around noisy patches (right image, in light blue)","caption":"Precise Water Body digitization around noisy patches (right image, in light blue)","name":"wb_digitization_around_noisy_patches","status":"inherit","uploaded_to":2977929,"date":"2026-07-22 07:40:48","modified":"2026-07-22 13:26:38","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":943,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-scaled.jpg","medium-width":464,"medium-height":171,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-scaled.jpg","medium_large-width":768,"medium_large-height":283,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-scaled.jpg","large-width":1920,"large-height":707,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-1536x566.jpg","1536x1536-width":1536,"1536x1536-height":566,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-2048x754.jpg","2048x2048-width":2048,"2048x2048-height":754,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-826x304.jpg","card_image-width":826,"card_image-height":304,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/WB_Digitization_around_noisy_patches-1920x707.jpg","wide_image-width":1920,"wide_image-height":707}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Note | The digitization of both Coarse and Precise Water Body Geometries, as well as the inspection of results may be parallelized to multiple operators by adding the corresponding layers as External Data in distinct ArcGIS Reality Studio sessions. Thus, all these manual processes may be accelerated. Learn more about <a href=\"https:\/\/community.esri.com\/t5\/arcgis-reality-studio-blog\/%EF%B8%8Fleverage-external-data-in-arcgis-reality-studio\/ba-p\/1708774\">applications of leveraging external data in ArcGIS Reality Studio<\/a>.<\/p>\n<p>&nbsp;<\/p>\n<p>The Precise Water Body Geometry is added to the Reconstruction Settings, which triggers an additional processing iteration. The additional processing is limited to the positions affected by the newly specified Precise Water Body Geometry and may be distributed to multiple computers.<\/p>\n<h2>Final Results<\/h2>\n<p>After the second processing iteration, the noisy patches are replaced by flat surfaces, which integrate seamlessly with the context.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2977942,"id":2977942,"title":"10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB","filename":"10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB.jpg","filesize":255195,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\/10-berlin-potsdam-remaining-noise-and-precise-water-body-fixed-with-wb","alt":"Results after second processing iteration. Patches where noise existed initially are now flattened (Precise Water Body overlaid In light blue).","author":"466416","description":"Results after second processing iteration. Patches where noise existed initially are now flattened (Precise Water Body overlaid In light blue).","caption":"Results after second processing iteration. Patches where noise existed initially are now flattened (Precise Water Body overlaid In light blue).","name":"10-berlin-potsdam-remaining-noise-and-precise-water-body-fixed-with-wb","status":"inherit","uploaded_to":2977929,"date":"2026-07-22 07:48:47","modified":"2026-07-22 07:49:17","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":2339,"height":1670,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB.jpg","medium-width":366,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB.jpg","medium_large-width":768,"medium_large-height":548,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB.jpg","large-width":1513,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB-1536x1097.jpg","1536x1536-width":1536,"1536x1536-height":1097,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB-2048x1462.jpg","2048x2048-width":2048,"2048x2048-height":1462,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB-651x465.jpg","card_image-width":651,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/10-Berlin-Potsdam-Remaining-Noise-and-Precise-Water-Body-Fixed-with-WB-1513x1080.jpg","wide_image-width":1513,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1>Summary<\/h1>\n<p>ArcGIS Reality Studio offers convenient workflows to assist accurate, automatic reconstruction of water surfaces with minimal effort. Shorelines, including complex ones, need only be approximately indicated through <em>Coarse Water Body Geometries<\/em>. After the processing, any potential remaining noise is easily flattened, by adding on top <em>Precise Water Body Geometries<\/em>, which are also digitized with minimal work. Besides the default context offered by the <em>Globe<\/em>, this workflow is further supported by features such as <em>adding external data<\/em> into the project or running a <em>Reconstruction in Rapid quality<\/em> \u2013 all of them providing background for digitizing the Water Body Geometries. The mechanism of adding external data also offers the means to parallelize any manual work to multiple operators.<\/p>\n<h1>Stay Connected<\/h1>\n<p>ArcGIS platform offers more options for workflows of mapping water surfaces from imagery. Find out how to <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/create-accurate-water-body-geometries-for-reality-mapping-with-arcgispro\">create accurate Water Body Geometries for Reality Mapping with ArcGIS Pro<\/a> or <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/fast-accurate-water-body-extraction-for-reality-mapping-using-sam3\">using Deep Learning SAM3<\/a>.<\/p>\n<p>Explore more <a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-reality\/resources\">ArcGIS Reality Resources<\/a> and join the conversation at the <a href=\"https:\/\/community.esri.com\/t5\/arcgis-reality-studio\/ct-p\/arcgis-reality-studio\">Esri Community for Reality Studio<\/a>.<\/p>\n<p>Stay up to date with recent developments by following us on <a href=\"https:\/\/www.linkedin.com\/company\/esri-rd-stuttgart\/\">LinkedIn<\/a>.<\/p>\n"}],"related_articles":[{"ID":2657892,"post_author":"349862","post_date":"2025-01-23 07:12:28","post_date_gmt":"2025-01-23 15:12:28","post_content":"","post_title":"Streamline your ArcGIS Reality Studio Projects with our Coarse Water Body Workflow","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"streamline-your-reality-mapping-projects-with-the-new-coarse-water-workflow","to_ping":"","pinged":"","post_modified":"2025-01-27 04:10:51","post_modified_gmt":"2025-01-27 12:10:51","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2657892","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2536842,"post_author":"353422","post_date":"2024-10-20 06:05:59","post_date_gmt":"2024-10-20 13:05:59","post_content":"","post_title":"Create accurate water body geometries for Reality Mapping with ArcGIS Pro","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"create-accurate-water-body-geometries-for-reality-mapping-with-arcgispro","to_ping":"","pinged":"","post_modified":"2024-10-22 23:43:57","post_modified_gmt":"2024-10-23 06:43:57","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2536842","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"1","filter":"raw"},{"ID":2962914,"post_author":"353422","post_date":"2026-04-17 07:06:26","post_date_gmt":"2026-04-17 14:06:26","post_content":"","post_title":"Fast, accurate water body extraction for Reality Mapping using SAM3","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"fast-accurate-water-body-extraction-for-reality-mapping-using-sam3","to_ping":"","pinged":"","post_modified":"2026-06-12 02:05:29","post_modified_gmt":"2026-06-12 09:05:29","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2962914","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2965746,"post_author":"9612","post_date":"2026-05-18 09:25:53","post_date_gmt":"2026-05-18 16:25:53","post_content":"","post_title":"What's New in ArcGIS Reality Studio (May 2026)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-reality-studio-may-2026","to_ping":"","pinged":"","post_modified":"2026-05-21 09:40:22","post_modified_gmt":"2026-05-21 16:40:22","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2965746","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner_scaled_down.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/07\/Banner.jpg"},"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>Accurate Water Mapping Made Easy with ArcGIS Reality Studio<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgisrealitystudio\/imagery\/accurate-water-mapping-made-easy-with-arcgis-reality-studio\" \/>\n<meta property=\"og:locale\" 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