{"id":1708062,"date":"2022-09-18T09:00:24","date_gmt":"2022-09-18T16:00:24","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1708062"},"modified":"2022-09-19T08:31:25","modified_gmt":"2022-09-19T15:31:25","slug":"flood-inundation-mapping-using-radar-ai","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai","title":{"rendered":"Flood Inundation Mapping using Radar &amp; AI"},"author":290632,"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":[],"industry":[],"product":[421922],"class_list":["post-1708062","blog","type-blog","status-publish","format-standard","hentry","category-imagery","product-arcgis"],"acf":{"short_description":"Learn how to generate analysis-ready Sentinel-1 GRD data and process ARD data using deep learning to delineate floods. ","flexible_content":[{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">In 2019, The Midwestern Floods, AKA Great Floods, affected 14 million people in the Midwestern and Southern United States. To conduct an analysis of its impact, a flood mapping and landcover inundation was performed in St. Louis, Missouri, one of the areas most affected during the flood. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0Typically, optical imagery supports performing visual interpretation or\u00a0 identifying changes. However, optical imagery is not helpful when the areas of interest are cloud covered, as is the case in this scenario. This is where an alternative source, like radar, becomes effective.\u00a0<\/span><\/p>\n<h2><b><span data-contrast=\"auto\">Why Radar? <\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Synthetic Aperture Radar (SAR) data provides a consistent (unobscured by cloud) view of the properties and shape of the earth\u2019s surface. Unlike optical imagery, SAR can be captured day or night and in any climatic condition, enabling frequent observations. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1708382,"id":1708382,"title":"Untitled design (5)","filename":"Untitled-design-5.gif","filesize":2002369,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai\/untitled-design-5-5","alt":"","author":"290632","description":"","caption":"During floods, clouds render optical satellite imagery. Using radar, you can receive an unobscured view of the landscape as depicted in this graphic.","name":"untitled-design-5-5","status":"inherit","uploaded_to":1708062,"date":"2022-09-09 18:06:54","modified":"2022-09-09 18:10:18","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1024,"height":512,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5.gif","medium-width":464,"medium-height":232,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5.gif","medium_large-width":768,"medium_large-height":384,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5.gif","large-width":1024,"large-height":512,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5.gif","1536x1536-width":1024,"1536x1536-height":512,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5.gif","2048x2048-width":1024,"2048x2048-height":512,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5-826x413.gif","card_image-width":826,"card_image-height":413,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-5.gif","wide_image-width":1024,"wide_image-height":512}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2><b><span data-contrast=\"auto\">Create an Analysis-Ready Sentinel-1 Radar Product<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">To get to our analysis, we will first need to create a Sentinel-1 SAR analysis ready dataset using tools from our Synthetic Aperture Radar toolset. First, we start with a Level-1 Sentinel-1,\u00a0interferometric wide (IW) swath mode GRD dataset, and a 10 mt resolution DEM.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1708472,"id":1708472,"title":"897fea73-b6d5-41d6-8992-9bd17b069c08","filename":"897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","filesize":16650,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai\/897fea73-b6d5-41d6-8992-9bd17b069c08-2","alt":"","author":"290632","description":"","caption":"Here is the setup of the workflow in model builder.","name":"897fea73-b6d5-41d6-8992-9bd17b069c08-2","status":"inherit","uploaded_to":1708062,"date":"2022-09-09 18:31:43","modified":"2022-09-09 18:32:00","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":159,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1-213x159.jpg","thumbnail-width":213,"thumbnail-height":159,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","medium-width":464,"medium-height":92,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","medium_large-width":768,"medium_large-height":153,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","large-width":800,"large-height":159,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","1536x1536-width":800,"1536x1536-height":159,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","2048x2048-width":800,"2048x2048-height":159,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","card_image-width":800,"card_image-height":159,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/897fea73-b6d5-41d6-8992-9bd17b069c08-1.jpg","wide_image-width":800,"wide_image-height":159}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ol>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm#GUID-106DB8B6-A87C-42C4-A477-606EB8BE4AC5\"><span data-contrast=\"none\">Download Orbit File<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"> and A<\/span><\/a><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm#GUID-106DB8B6-A87C-42C4-A477-606EB8BE4AC5\"><span data-contrast=\"none\">pply Orbit Correction<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"> &#8211; D<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">ownload and apply updated orbit data that is later used for terrain correction.<\/span><\/li>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm#ESRI_SECTION1_3CF3192312104A2C85B2DBFDADE8F4E8\"><span data-contrast=\"none\">Remove Thermal Noise<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"> &#8211; SAR images are distorted by additive thermal noise. The <strong>Remove Thermal Noise tool<\/strong> uses Sentinel-1 product metadata to correct thermal noise.<\/span><\/li>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm#ESRI_SECTION1_4C01628E11F140C6B846D46BB31CEB93\"><span data-contrast=\"none\">Apply Radiometric Calibration and Terrain Flattening<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"> &#8211; Radiometric calibration is the process of converting SAR products from image pixel digital number (DN) to the physical quantity of SAR backscatter intensity per unit area. The <strong>Apply Radiometric Calibration tool<\/strong> uses the Sentinel-1 product metadata to retrieve meaningful backscatter values. The <strong>Apply Radiometric Terrain Flattening tool<\/strong> corrects artificial radiometric values originating from complex topography and the sensor&#8217;s viewing geometry.<\/span><\/li>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm#ESRI_SECTION1_1ABB354B29FC46D883ED23DE1D8B3D2F\"><span data-contrast=\"none\">Despeckle<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"> &#8211;\u00a0Inherent noisy anomalies characterized in SAR images is removed using the <strong>Despeckle tool<\/strong>. This process improves the signal-to-noise ratio of the SAR image.\u00a0<\/span><\/li>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm#ESRI_SECTION1_B6A470E2C8F74AC98B9D3D29889EC89D\"><span data-contrast=\"none\">Apply Geometric Terrain Correction<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"> &#8211;\u00a0The <strong>Apply Geometric Terrain Correction tool<\/strong> corrects geometric distortions, shifting the pixels to their correct geolocation.<\/span><\/li>\n<li><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm#ESRI_SECTION1_8219DE1DD8134610B2991A930A41F9B4\"><span data-contrast=\"none\">Convert SAR Units<\/span><\/a><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\"><strong> &#8211; <\/strong>The <strong>Convert SAR Units tool<\/strong> simplifies the data for interpretation by converting the units into decibels.\u00a0<\/span><\/li>\n<\/ol>\n"},{"acf_fc_layout":"image","image":{"ID":1708492,"id":1708492,"title":"86671f63-09ae-4625-b8b7-a208f8be0981","filename":"86671f63-09ae-4625-b8b7-a208f8be0981.jpg","filesize":145600,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai\/86671f63-09ae-4625-b8b7-a208f8be0981","alt":"","author":"290632","description":"","caption":"This converts our Level-1 Sentinel-1 data to analytic ready GRD data. The bright pixels correspond to structures and buildings and the dark pixels correspond to water. ","name":"86671f63-09ae-4625-b8b7-a208f8be0981","status":"inherit","uploaded_to":1708062,"date":"2022-09-09 18:33:54","modified":"2022-09-09 18:34:12","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":449,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","medium_large-width":768,"medium_large-height":431,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","large-width":800,"large-height":449,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","1536x1536-width":800,"1536x1536-height":449,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","2048x2048-width":800,"2048x2048-height":449,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","card_image-width":800,"card_image-height":449,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/86671f63-09ae-4625-b8b7-a208f8be0981.jpg","wide_image-width":800,"wide_image-height":449}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2><strong>Analyzing the Processed ARD data using Deep Learning to Delineate Floods<\/strong><\/h2>\n<p>Many of our functions work with this analysis ready dataset. Additionally, we have deep learning capabilities to explore these datasets and derive insights.<\/p>\n<p>Using a deep learning model that was trained to delineate floods using SAR imagery and the processed Sentinel-1 ARD dataset, we can derive our flood map (a pretrained deep learning model is also available in ArcGIS Living Atlas of the World).<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1708512,"id":1708512,"title":"40496e14-6868-4bbf-81e5-fe4e244683b4","filename":"40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","filesize":95114,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai\/40496e14-6868-4bbf-81e5-fe4e244683b4-2","alt":"","author":"290632","description":"","caption":"Using SAR for Flood Inundation","name":"40496e14-6868-4bbf-81e5-fe4e244683b4-2","status":"inherit","uploaded_to":1708062,"date":"2022-09-09 18:36:23","modified":"2022-09-09 18:36:34","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":405,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","medium-width":464,"medium-height":235,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","medium_large-width":768,"medium_large-height":389,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","large-width":800,"large-height":405,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","1536x1536-width":800,"1536x1536-height":405,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","2048x2048-width":800,"2048x2048-height":405,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","card_image-width":800,"card_image-height":405,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/40496e14-6868-4bbf-81e5-fe4e244683b4.jpg","wide_image-width":800,"wide_image-height":405}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><span data-contrast=\"auto\">To get a better understanding of how land use was affected, Sentinel-2 imagery was used over the area of interest. Using a pretrained model available on <a href=\"https:\/\/livingatlas.arcgis.com\/en\/browse\/?q=dlpk#d=2&amp;q=dlpk\">ArcGIS Living Atlas of the World<\/a>, you can generate a land use map and clip it to the extents of the floods. This now helps quantify the area of different landcover types that was affected by the floods. These insights help first responders prioritize post event operations. This describes an end-to-end workflow that highlights the new radar processing and analysis capabilities in ArcGIS.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">And yes, the analysis aspects of this scenario are also possible in ArcGIS Online using <a href=\"https:\/\/www.esri.com\/en-us\/arcgis\/products\/arcgis-image\/options\/arcgis-online\">ArcGIS Image for ArcGIS Online<\/a>!<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p>Check out the video below to see this workflow in action.<\/p>\n"},{"acf_fc_layout":"kaltura","video_id":"1_4ko1ybpx","time":false,"start":0,"stop":""},{"acf_fc_layout":"content","content":"<p>&nbsp;<\/p>\n<h2><strong>Resources<\/strong><\/h2>\n<p><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/whats-new-in-the-arcgis-image-analyst-extension-arcgis-pro-3-0\/\">What\u2019s new in the ArcGIS Image Analyst Extension (ArcGIS Pro 3.0)<\/a><\/p>\n<p><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/introduction-to-synthetic-aperture-radar.htm\">Introduction to synthetic aperture radar<\/a><\/p>\n<p><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/analysis-ready-sentinel-1-grd-data-generation.htm\">Analysis-ready Sentinel-1 GRD data generation<\/a><\/p>\n<p><a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/interpret-sar-data-for-flood-mapping.htm\">Interpretation of SAR data for flood mapping<\/a><\/p>\n"}],"authors":[{"ID":290632,"user_firstname":"Akshaya","user_lastname":"Suresh","nickname":"Akshaya","user_nicename":"asuresh","display_name":"Akshaya Suresh","user_email":"asuresh@esri.com","user_url":"","user_registered":"2021-10-25 15:01:49","user_description":"Product Marketing Manager in the Imagery &amp; Remote Sensing team at Esri with a passion for AI and big data analytics.","user_avatar":"<img alt='' src='https:\/\/secure.gravatar.com\/avatar\/3e1e5f901dfa2436c8a4f022f43c4fa14320ce4e502123a5eb704bacdd25ad3f?s=96&#038;d=blank&#038;r=g' srcset='https:\/\/secure.gravatar.com\/avatar\/3e1e5f901dfa2436c8a4f022f43c4fa14320ce4e502123a5eb704bacdd25ad3f?s=192&#038;d=blank&#038;r=g 2x' class='avatar avatar-96 photo' height='96' width='96' loading='lazy' decoding='async'\/>"},{"ID":8452,"user_firstname":"Vinay","user_lastname":"Viswambharan","nickname":"Vinay Viswambharan","user_nicename":"vinayv","display_name":"Vinay Viswambharan","user_email":"vinayv@esri.com","user_url":"https:\/\/www.esri.com\/arcgis-blog\/author\/vinayv\/","user_registered":"2018-10-04 22:28:54","user_description":"Principal Product manager on the Imagery team at Esri, with a zeal for remote sensing, AI and everything imagery.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/10\/vin4.png' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-design-9.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/Untitled-1920-\u00d7-1080-px-1.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>Flood Inundation Mapping using Radar &amp; AI<\/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\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Flood Inundation Mapping using Radar &amp; AI\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai\" \/>\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=\"2022-09-19T15:31:25+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\/imagery\/flood-inundation-mapping-using-radar-ai#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/flood-inundation-mapping-using-radar-ai\"},\"author\":{\"name\":\"Akshaya Suresh\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/b6f9c00b9bdaba4799ba64fc826639dc\"},\"headline\":\"Flood Inundation Mapping using Radar &amp; 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