{"id":1670132,"date":"2022-07-28T12:47:41","date_gmt":"2022-07-28T19:47:41","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1670132"},"modified":"2022-07-28T14:47:44","modified_gmt":"2022-07-28T21:47:44","slug":"hydro-flattening-of-river-shorelines-in-lidar-based-dem-production","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/hydro-flattening-of-river-shorelines-in-lidar-based-dem-production","title":{"rendered":"Hydro-Flattening of River Shorelines in Lidar Based DEM Production"},"author":315862,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23771,22941,22771],"tags":[766522,766532,24131,766512,24381],"industry":[],"product":[36561],"class_list":["post-1670132","blog","type-blog","status-publish","format-standard","hentry","category-3d-gis","category-mapping","category-natural-resources","tag-breaklines","tag-constraints","tag-dem","tag-hydro-flattening","tag-lidar","product-arcgis-pro"],"acf":{"authors":[{"ID":315862,"user_firstname":"Clayton","user_lastname":"Crawford","nickname":"Clayton","user_nicename":"ccrawford","display_name":"Clayton Crawford","user_email":"ccrawford@esri.com","user_url":"","user_registered":"2022-07-27 17:22:19","user_description":"Clayton Crawford is Product Owner and Senior Product Engineer for the ArcGIS 3D Analyst extension. He specializes in lidar processing and TIN based surface modeling.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/Clayton_Crawford-465x465.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"Discusses a new geoprocessing tool, Enforce River Monotonicity, and how it's used in a workflow to create hydro-flattened DEMs from Lidar.","flexible_content":[{"acf_fc_layout":"content","content":"<p>One of the tricky aspects of DEM production from lidar is related to the representation of water. It\u2019s desirable for lakes and reservoirs to be flat, and for larger rivers to be level from bank to bank while also only flowing downward, never up. The enforcement of this behavior is commonly referred to as \u2018hydro-flattening\u2019. It\u2019s done for cartographic, or aesthetic, purposes. Hillshades and contours, for example, will look and behave as expected when made from DEMs that have been properly hydro-flattened. Lakes and reservoirs are relatively easy to handle because they just get completely flattened. Rivers are where the greater challenge lies because they need to flow downslope, naturally following the surrounding terrain.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1670472,"id":1670472,"title":"dem_hydro_flattening_combined_1024","filename":"dem_hydro_flattening_combined_1024.png","filesize":1056902,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/hydro-flattening-of-river-shorelines-in-lidar-based-dem-production\/dem_hydro_flattening_combined_1024","alt":"","author":"315862","description":"","caption":"","name":"dem_hydro_flattening_combined_1024","status":"inherit","uploaded_to":1670132,"date":"2022-07-27 19:24:03","modified":"2022-07-27 19:24:03","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":1023,"height":467,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024.png","medium-width":464,"medium-height":212,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024.png","medium_large-width":768,"medium_large-height":351,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024.png","large-width":1023,"large-height":467,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024.png","1536x1536-width":1023,"1536x1536-height":467,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024.png","2048x2048-width":1023,"2048x2048-height":467,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024-826x377.png","card_image-width":826,"card_image-height":377,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/dem_hydro_flattening_combined_1024.png","wide_image-width":1023,"wide_image-height":467}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><em>Color hillshade and contours made from untreated DEM on left, results from hydro-flattened DEM on right.<\/em><\/p>\n"},{"acf_fc_layout":"content","content":"<p>In ArcGIS Pro 3.0, the 3D Analyst extension introduces a new geoprocessing tool that facilitates hydro-flattening of river shorelines. It\u2019s called <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/3d-analyst\/enforce-river-monotonicity.htm\"><strong>Enforce River Monotonicity<\/strong><\/a>. It ensures river heights, usually obtained from lidar, always go in one direction (i.e., down) which is why the word \u2018monotonicity\u2019 is used; it\u2019s uni-directional in Z. It also ensures the bank-to-bank height is consistent. The tool is a key piece of a larger workflow to make high quality DEMs.<\/p>\n"},{"acf_fc_layout":"content","content":"<p>General workflow for creating hydro-flattened DEMs from aerial lidar data using a <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/las-dataset\/what-is-a-las-dataset-.htm\">LAS dataset<\/a>:<\/p>\n<ol>\n<li><strong>Obtain 2D polygons that represent larger rivers.<\/strong> For this workflow, larger rivers are those which average 30 meters or more in width. Sources for these polygons are varied. They can come from classified multi-spectral imagery (best captured at same time as lidar) or from previously compiled map data. For example, in the United States, there\u2019s the National Hydrography Dataset, specifically <a href=\"https:\/\/www.usgs.gov\/national-hydrography\/nhdplus-high-resolution\">NHDPlus HR<\/a>. Water body polygons are usually represented as 2D features. These 2D features will be used to create 3D features.<\/li>\n<li><strong>Classify ground points.<\/strong>\n<ul style=\"margin-left: 50px\">\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/3d-analyst\/classify-las-overlap.htm\">Classify flight line overlap points<\/a> so they can be filtered out, leaving the remaining points with a more consistent point density (optional).<\/li>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/3d-analyst\/classify-las-ground.htm\">Classify ground points<\/a>. Water may get (mis)classified as ground at this point. That\u2019s okay.<\/li>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/3d-analyst\/set-las-class-codes-using-features.htm\">Reassign any ground classified points that fall inside the river polygons to water<\/a>. Don\u2019t include class 1 points in this step because these can represent overhanging vegetation, or other above ground feature, which you do not want classified as water.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Use ground height values from the lidar data to create initial 3D water polygons.<\/strong> This can be accomplished using the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/3d-analyst\/interpolate-shape.htm\">Interpolate Shape<\/a> tool with the option to \u2018conflate nearest z\u2019 when the input lidar is filtered to ground. The resulting polygons will likely have heights that go up and down along the path of the river. This can happen because of dense vegetation along the shoreline that reduces lidar ground sample density. Rocks and cliffs close to shore can also come into play. The 2D position of the polygons themselves are also a bit fuzzy because shorelines aren\u2019t static or constant things. What we need to do is to adjust the undulations, always biasing the shoreline height to the lower lidar ground points found along any given stretch of the river.<\/li>\n<li><strong>Hydro-flatten the 3D water polygons.<\/strong> Adjust the undulations of the height in the 3D water polygons to ensure that the height decreases along the downstream path of the river and is even from bank to bank. This can be accomplished through the new <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/3d-analyst\/enforce-river-monotonicity.htm\">Enforce River Monotonicity<\/a> tool.<\/li>\n<li><strong>Reduce the potential for surface discontinuities near shorelines.<\/strong> <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/3d-analyst\/set-las-class-codes-using-features.htm\">Reclassify ground points that are close (e.g., within 1m) to shoreline polygons<\/a> to class 20 (i.e., ignored ground) because lidar points too close to breaklines can cause undesirable sharp discontinuities in the resulting surface (optional).<\/li>\n<li><strong>Add the hydro-flattening constraints to the source surface model.<\/strong> Incorporate the 3D lines produced by the Enforce River Monotonicity tool into the LAS dataset as hard breakline surface constraints. You can use the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/las-dataset\/las-dataset-properties.htm\">LAS Dataset Properties dialog<\/a> in Catalog to do this or the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/add-files-to-las-dataset.htm\">Add Files To LAS Dataset<\/a> tool.<\/li>\n<li><strong>Produce the final cartographically improved raster surface.<\/strong> Create a DEM using the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/conversion\/las-dataset-to-raster.htm\">LAS Dataset To Raster<\/a> tool with the following:\n<ul style=\"margin-left: 50px\">\n<li>Filter the input LAS dataset layer to ground classified points.<\/li>\n<li>Ensure input the LAS dataset layer 3D river surface constraint is enabled.<\/li>\n<li>Use the \u201cTriangulation\u201d interpolation type on the tool.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n"},{"acf_fc_layout":"content","content":"<h3>Additional resources:<\/h3>\n<p><a href=\"https:\/\/pubs.usgs.gov\/tm\/11b4\/pdf\/tm11-B4.pdf\">USGS Lidar Base Specification<\/a> (pg., 15-22)<\/p>\n<p><a href=\"https:\/\/www.usgs.gov\/media\/videos\/digital-elevation-models-hydro-flattening-and-hydro-enforcement\">Digital Elevation Models, Hydro-Flattening, and Hydro-Enforcement<\/a><\/p>\n"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/susquehanna_flatten_02_card_size_826_465.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/susquehanna_flatten_02.png"},"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>Hydro-Flattening of River Shorelines in Lidar Based DEM Production<\/title>\n<meta name=\"description\" content=\"New tool and workflow to improve the representation of water when creating DEMs.\" \/>\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\/arcgis-pro\/3d-gis\/hydro-flattening-of-river-shorelines-in-lidar-based-dem-production\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Hydro-Flattening of River Shorelines in Lidar Based DEM Production\" \/>\n<meta property=\"og:description\" content=\"New tool and workflow to improve the representation of water when creating DEMs.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/hydro-flattening-of-river-shorelines-in-lidar-based-dem-production\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2022-07-28T21:47:44+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/hydro-flattening-of-river-shorelines-in-lidar-based-dem-production#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/hydro-flattening-of-river-shorelines-in-lidar-based-dem-production\"},\"author\":{\"name\":\"Clayton Crawford\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/335bb0c624f20c32166fe8377f9eeaec\"},\"headline\":\"Hydro-Flattening of River Shorelines in Lidar Based DEM Production\",\"datePublished\":\"2022-07-28T19:47:41+00:00\",\"dateModified\":\"2022-07-28T21:47:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/3d-gis\/hydro-flattening-of-river-shorelines-in-lidar-based-dem-production\"},\"wordCount\":9,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"breaklines\",\"constraints\",\"digital elevation model (DEM)\",\"hydro-flattening\",\"Lidar\"],\"articleSection\":[\"3D Visualization &amp; 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