{"id":2014002,"date":"2023-07-03T16:05:41","date_gmt":"2023-07-03T23:05:41","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2014002"},"modified":"2024-08-28T11:03:14","modified_gmt":"2024-08-28T18:03:14","slug":"assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery","title":{"rendered":"Assess wildfire damage in ArcGIS Online &#8211; Part 1 (Create multidimensional imagery)"},"author":108651,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22931,22771],"tags":[25041,612611,30071,194042],"industry":[],"product":[767992,36561],"class_list":["post-2014002","blog","type-blog","status-publish","format-standard","hentry","category-imagery","category-natural-resources","tag-landsat","tag-multidimensional","tag-time-series","tag-wildfire","product-arcgis-image-for-arcgis-online","product-arcgis-pro"],"acf":{"short_description":"Landsat imagery provides a great way to assess damage to regions from wildfires and multidimensional imagery allows you to see it as it happens.","flexible_content":[{"acf_fc_layout":"content","content":"<p><span class=\"TextRun SCXW215313688 BCX9\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW215313688 BCX9\">The frequency and severity of wildfires around the world are rising, making the <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">tracking <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">and assessment of wildfire damage <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">a <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">critical issue. <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">However, <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">m<\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">onitoring<\/span><span class=\"NormalTextRun SCXW215313688 BCX9\"> these<\/span><span class=\"NormalTextRun SCXW215313688 BCX9\"> wildfires is <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">made <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">intuitive <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">and seamless <\/span><span class=\"NormalTextRun SCXW215313688 BCX9\">with ArcGIS Online.<\/span><\/span><span class=\"TextRun SCXW215313688 BCX9\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW215313688 BCX9\">\u00a0<\/span><\/span><span class=\"EOP SCXW215313688 BCX9\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>I was initially inspired after reading through the excellent blog <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/mapping\/map-in-a-minute-map-smoke-canada\/\" target=\"_blank\" rel=\"noopener\">Map in a Minute: Map smoke from Canadian wildfires using ArcGIS Online and ArcGIS Living Atlas<\/a> and I wanted to visualize the damage for one of those fires using imagery in ArcGIS Online.<\/p>\n<p><span class=\"TextRun SCXW184550677 BCX9\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW184550677 BCX9\">T<\/span><span class=\"NormalTextRun SCXW184550677 BCX9\">his blog will<\/span><span class=\"NormalTextRun SCXW184550677 BCX9\"> specifically<\/span> <span class=\"NormalTextRun SCXW184550677 BCX9\">examine<\/span><span class=\"NormalTextRun SCXW184550677 BCX9\"> th<\/span><span class=\"NormalTextRun SCXW184550677 BCX9\">e wildfire <\/span><span class=\"NormalTextRun SCXW184550677 BCX9\">scenario using satellite imagery. <\/span><span class=\"NormalTextRun SCXW184550677 BCX9\">In this case, t<\/span><span class=\"NormalTextRun SCXW184550677 BCX9\">he frequent capture and coverage of satellite imagery is <\/span><span class=\"NormalTextRun SCXW184550677 BCX9\">very useful<\/span><span class=\"NormalTextRun SCXW184550677 BCX9\"> in visualizing wildfires as it offers the most current view of the la<\/span><span class=\"NormalTextRun SCXW184550677 BCX9\">ndscape. <\/span><\/span><span class=\"EOP SCXW184550677 BCX9\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>While the previously mentioned blog focuses on the smoke created from the fires, I wanted to go a step further and create a map that shows the impact of a specific fire in a time series to a specific location. For this to work, I needed to locate a fire and then acquire Landsat imagery that could show the before, during, and after the fire.<\/p>\n<p>This blog is Part 1 of 5 &#8211; collectively, this series will analyze one specific wildfire incident and will cover the following topics:<\/p>\n<ol>\n<li><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-image-for-arcgis-online\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/\" target=\"_blank\" rel=\"noopener\">Create multidimensional imagery<\/a><\/li>\n<li><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/assess-wildfire-damage-in-arcgis-online-part-2-host-multidimensional-imagery-layer\/\" target=\"_blank\" rel=\"noopener\">Host multidimensional imagery layer<\/a><\/li>\n<li><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online\/\" target=\"_blank\" rel=\"noopener\">Review wildfire in time series<\/a><\/li>\n<li><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-hosting-imagery-layers\/\" target=\"_blank\" rel=\"noopener\">Host Landsat imagery layers<\/a><\/li>\n<li><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-raster-analysis\/\" target=\"_blank\" rel=\"noopener\">Assess damage<\/a><\/li>\n<\/ol>\n<p>After reading this blog, you will be able to create a multidimensional image using satellite imagery. Let&#8217;s get started.<\/p>\n<h3>Location<\/h3>\n<p>For this study, I chose one of the areas identified as a wildfire hot zone. After some research, the location is around Lac La Valliere near Mistissini, Quebec. In the area southwest of the lake, there is a wildfire that started around June 1, 2023.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2006302,"id":2006302,"title":"LLV_Data","filename":"LLV_Data.png","filesize":463410,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online\/llv_data","alt":"Lac La Valliere fire location","author":"108651","description":"","caption":"The wildfire location that will be visualized with Landsat data.","name":"llv_data","status":"inherit","uploaded_to":1998082,"date":"2023-06-28 20:59:52","modified":"2023-06-28 21:00:56","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":768,"height":692,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data.png","medium-width":290,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data.png","medium_large-width":768,"medium_large-height":692,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data.png","large-width":768,"large-height":692,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data.png","1536x1536-width":768,"1536x1536-height":692,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data.png","2048x2048-width":768,"2048x2048-height":692,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data-516x465.png","card_image-width":516,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/06\/LLV_Data.png","wide_image-width":768,"wide_image-height":692}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Software required<\/h3>\n<p>ArcGIS Pro (version 3.1.2 is used during creation)<\/p>\n<h3>Data<\/h3>\n<p>The imagery data for this process is three Landsat imagery layers that will be used to show the area before the fire, while the fire is active, and the damaged area. The Landsat images were downloaded from <a href=\"https:\/\/earthexplorer.usgs.gov\/\" target=\"_blank\" rel=\"noopener\">Earth Explorer by USGS<\/a>. Once the desired scene was located, the key was finding the ideal imagery to show the wildfire as it happens. For this project, I chose two Landsat 8 images and one Landsat 9 image. However, since the three images have common raster bands with similar wavelengths, I am able to combine them and view the wildfire in action.<\/p>\n<p>For your convenience, the <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=1dbc9b14585d4ded9850848da95b1c87\" target=\"_blank\" rel=\"noopener\">three Landsat images are provided here to download<\/a>.<\/p>\n<p>Once you have downloaded them, unzip them in a folder.<\/p>\n<h3>Workflow<\/h3>\n<p><strong>1.<\/strong> Open <strong>ArcGIS Pro<\/strong> with at least the Standard license to be able to create the mosaic dataset and use the necessary geoprocessing tools.<\/p>\n<p><strong>2.<\/strong> Create a new project or start without a template.<\/p>\n<p><strong>3.<\/strong> In the <strong>Catalog<\/strong> pane, find a folder location on your local drive and right-click it, select <strong>New<\/strong>, and choose <strong>File Geodatabase<\/strong>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2022172,"id":2022172,"title":"catalogNewExtend","filename":"catalogNewExtend.png","filesize":73337,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/catalognewextend","alt":"File geodatabase creation menu","author":"108651","description":"","caption":"A file geodatabase is a foundation of the multidimensional data creation.","name":"catalognewextend","status":"inherit","uploaded_to":2014002,"date":"2023-07-07 17:19:07","modified":"2023-07-07 17:21:51","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":506,"height":610,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend.png","medium-width":217,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend.png","medium_large-width":506,"medium_large-height":610,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend.png","large-width":506,"large-height":610,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend.png","1536x1536-width":506,"1536x1536-height":610,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend.png","2048x2048-width":506,"2048x2048-height":610,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend-386x465.png","card_image-width":386,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/catalogNewExtend.png","wide_image-width":506,"wide_image-height":610}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>4.<\/strong> Type in a name for the file geodatabase, I used <strong>CanadaFireMD<\/strong>.<\/p>\n<p>If you prefer, you could use a file geodatabase of your own if you do not want to create a new one.<\/p>\n<p><strong>5.<\/strong> Right-click the <strong>CanadaFireMD <\/strong>from the<strong> Catalog <\/strong>pane, select <strong>New<\/strong>, and choose <strong>Mosaic Dataset<\/strong>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2014242,"id":2014242,"title":"MDCreation","filename":"MDCreation.png","filesize":18967,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/mdcreation","alt":"Contextual menu to create a mosaic dataset","author":"108651","description":"","caption":"The mosaic dataset will serve as the container that will be used to create the multidimensional imagery. ","name":"mdcreation","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 19:33:45","modified":"2023-07-07 17:23:48","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":442,"height":275,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","medium-width":419,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","medium_large-width":442,"medium_large-height":275,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","large-width":442,"large-height":275,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","1536x1536-width":442,"1536x1536-height":275,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","2048x2048-width":442,"2048x2048-height":275,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","card_image-width":442,"card_image-height":275,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDCreation.png","wide_image-width":442,"wide_image-height":275}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>The <strong>Create Mosaic Dataset<\/strong> tool will open, and the <strong>Output Location<\/strong> will be the file geodatabase that you selected.<\/p>\n<p><strong>6.<\/strong> In the <strong>Create Mosaic Dataset<\/strong> tool interface, type in <strong>LacLaValliere_Fire<\/strong> for the <strong>Mosaic Dataset Name<\/strong>, and choose <strong>Landsat OLI<\/strong> for <strong>Product Definition<\/strong>.<\/p>\n<p><strong>7.<\/strong> Click <strong>Run<\/strong> to create the mosaic dataset.<\/p>\n<p>The mosaic dataset will be created and added to the map.<\/p>\n<p><strong>8.<\/strong> In <strong>Catalog<\/strong> pane, expand the <strong>CanadaFireMD<\/strong> geodatabase, right-click <strong>LacLaValliere_Fire<\/strong> mosaic dataset, and select <strong>Add Rasters<\/strong> to open the <strong>Add Rasters To Mosaic Dataset<\/strong> tool.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2014832,"id":2014832,"title":"AddRasterMD","filename":"AddRasterMD.png","filesize":10768,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/addrastermd","alt":"Add Rasters context menu","author":"108651","description":"","caption":"The Add Rasters context dialogue allows you to quickly open the Add Rasters to Mosaic Dataset tool. ","name":"addrastermd","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 20:57:40","modified":"2023-07-03 20:59:37","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":359,"height":210,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","medium-width":359,"medium-height":210,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","medium_large-width":359,"medium_large-height":210,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","large-width":359,"large-height":210,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","1536x1536-width":359,"1536x1536-height":210,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","2048x2048-width":359,"2048x2048-height":210,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","card_image-width":359,"card_image-height":210,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddRasterMD.png","wide_image-width":359,"wide_image-height":210}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>9.<\/strong> In the <strong>Add Rasters To Mosaic Dataset<\/strong>, confirm the <strong>Raster Type<\/strong> is <strong>Landsat 8<\/strong> and the <strong>Processing Template<\/strong> is <strong>Multispectral<\/strong>.<\/p>\n<p><strong>10.<\/strong> For <strong>Input Data<\/strong>, select <strong>Folder<\/strong> and then click the <strong>Browse<\/strong> button and navigate to the folder location of the CanadaFire folder.<\/p>\n<p><strong>11.<\/strong> Click <strong>Run<\/strong> to add both of the Landsat 8 images to the mosaic dataset. In the CanadaFire folder, there are three folders containing Landsat images. There is one folder for each Landsat scene.<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2014972,"id":2014972,"title":"MDV1","filename":"MDV1.png","filesize":1202794,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/mdv1","alt":"Landsat images added to a mosaic dataset.","author":"108651","description":"","caption":"The two Landsat 8 images added to a mosaic dataset. ","name":"mdv1","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 21:37:32","modified":"2023-07-03 21:38:06","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":849,"height":839,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1.png","medium-width":264,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1.png","medium_large-width":768,"medium_large-height":759,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1.png","large-width":849,"large-height":839,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1.png","1536x1536-width":849,"1536x1536-height":839,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1.png","2048x2048-width":849,"2048x2048-height":839,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1-471x465.png","card_image-width":471,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV1.png","wide_image-width":849,"wide_image-height":839}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>12.<\/strong> In the <strong>Add Rasters to Mosaic Dataset<\/strong> tool change the <strong>Raster Type<\/strong> to <strong>Landsat 9<\/strong> and run the tool again. The CanadaFire folder should still be selected as the input, since you changed the raster type, only the Landsat 9 scene will be added and the Landsat 8 scenes will not be added at this time.<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2014992,"id":2014992,"title":"MDV2","filename":"MDV2.png","filesize":1120389,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/mdv2","alt":"Landsat 9 image added to mosaic dataset","author":"108651","description":"","caption":"The Landsat 9 image has been added to the mosaic dataset. ","name":"mdv2","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 21:40:42","modified":"2023-07-03 21:41:20","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":866,"height":819,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2.png","medium-width":276,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2.png","medium_large-width":768,"medium_large-height":726,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2.png","large-width":866,"large-height":819,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2.png","1536x1536-width":866,"1536x1536-height":819,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2.png","2048x2048-width":866,"2048x2048-height":819,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2-492x465.png","card_image-width":492,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDV2.png","wide_image-width":866,"wide_image-height":819}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Now that all three Landsat images have been added to the mosaic dataset, you&#8217;ll likely notice that the green bounding box indicating the spatial extent of the imagery is outside the visible pixels of the image. In the next step, you will rebuild the footprints to clean up the display of the image. This is a vital step when creating imagery layers to avoid creating NoData values when you do not need them.<\/p>\n<p><strong>13.<\/strong> Open the <strong>Geoprocessing<\/strong> pane and search for the <strong>Build Footprints<\/strong> tool.<\/p>\n<p><strong>14.<\/strong> In the tool interface, select the <strong>LacLaValliere_Fire<\/strong> mosaic dataset and <strong>Run<\/strong> the tool.<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2015042,"id":2015042,"title":"BuiltFP","filename":"BuiltFP.png","filesize":1064970,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/builtfp","alt":"Mosaic dataset with rebuilt footprints","author":"108651","description":"","caption":"The NoData areas have been removed with the Build Footprints tool. ","name":"builtfp","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 21:46:57","modified":"2023-07-03 21:47:47","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":797,"height":793,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP.png","medium-width":262,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP.png","medium_large-width":768,"medium_large-height":764,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP.png","large-width":797,"large-height":793,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP.png","1536x1536-width":797,"1536x1536-height":793,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP.png","2048x2048-width":797,"2048x2048-height":793,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP-467x465.png","card_image-width":467,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/BuiltFP.png","wide_image-width":797,"wide_image-height":793}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Now that the footprint has been rebuilt, you are ready for the next step to add the field you will need for the multidimensional process.<\/p>\n<p><strong>15.<\/strong> In the <strong>Contents<\/strong> pane, right-click the <strong>Footprint<\/strong>, and select the <strong>Attribute table<\/strong> to open the table.<\/p>\n<p>The attribute table contains all three of the Landsat images and information about each of the input images. You will use some of this information to create a multidimensional image, but you need to add one field.<\/p>\n<p><strong>16.<\/strong> Click the <strong>Add Field<\/strong> button and add a new field.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2015102,"id":2015102,"title":"AddField","filename":"AddField.png","filesize":18644,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/addfield-4","alt":"Add field","author":"108651","description":"","caption":"The Add Field tool adds a new field to the attribute table. ","name":"addfield-4","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 21:56:51","modified":"2023-07-03 21:57:17","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":721,"height":166,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField-213x166.png","thumbnail-width":213,"thumbnail-height":166,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","medium-width":464,"medium-height":107,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","medium_large-width":721,"medium_large-height":166,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","large-width":721,"large-height":166,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","1536x1536-width":721,"1536x1536-height":166,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","2048x2048-width":721,"2048x2048-height":166,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","card_image-width":721,"card_image-height":166,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/AddField.png","wide_image-width":721,"wide_image-height":166}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>17.<\/strong> In the <strong>Fields<\/strong> pane, type <strong>ProcTemplate<\/strong> for the <strong>Field Name<\/strong>, for <strong>Alias<\/strong> type <strong>Processing Template,<\/strong> and for <strong>Data Type<\/strong> choose <strong>Text<\/strong>.<\/p>\n<p><strong>18.<\/strong> At the ribbon at the top, click <strong>Save<\/strong> to save the edits, and close the <strong>Fields<\/strong> pane.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2015142,"id":2015142,"title":"SaveFields","filename":"SaveFields.png","filesize":20003,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/savefields","alt":"Save edits","author":"108651","description":"","caption":"Save the edits to keep the new field. ","name":"savefields","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 22:13:04","modified":"2023-07-03 22:13:38","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":962,"height":127,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields-213x127.png","thumbnail-width":213,"thumbnail-height":127,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields.png","medium-width":464,"medium-height":61,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields.png","medium_large-width":768,"medium_large-height":101,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields.png","large-width":962,"large-height":127,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields.png","1536x1536-width":962,"1536x1536-height":127,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields.png","2048x2048-width":962,"2048x2048-height":127,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields-826x109.png","card_image-width":826,"card_image-height":109,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/SaveFields.png","wide_image-width":962,"wide_image-height":127}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>19.<\/strong> In the<strong> Footprint<\/strong> attribute table, scroll to the right, find the <strong>Processing Template<\/strong> field, and type <strong>Multispectral<\/strong> in each of the &lt;Null&gt; fields.<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2021892,"id":2021892,"title":"MultispectralFields","filename":"MultispectralFields.png","filesize":12731,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/multispectralfields","alt":"Filling out the fields","author":"108651","description":"","caption":"The attribute table for the mosaic dataset allows you to add information for the multidimensional data. ","name":"multispectralfields","status":"inherit","uploaded_to":2014002,"date":"2023-07-07 16:14:48","modified":"2023-07-07 16:17:54","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":619,"height":188,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields-213x188.png","thumbnail-width":213,"thumbnail-height":188,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","medium-width":464,"medium-height":141,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","medium_large-width":619,"medium_large-height":188,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","large-width":619,"large-height":188,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","1536x1536-width":619,"1536x1536-height":188,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","2048x2048-width":619,"2048x2048-height":188,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","card_image-width":619,"card_image-height":188,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MultispectralFields.png","wide_image-width":619,"wide_image-height":188}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>20.<\/strong> In the <strong>Geoprocessing<\/strong> pane, find the <strong>Build Multidimensional Info<\/strong> tool, and at the top of the tool interface, click <strong>Save<\/strong> to save the edits you made.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2015172,"id":2015172,"title":"saveeditsBuild","filename":"saveeditsBuild.png","filesize":7664,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/saveeditsbuild","alt":"Save edits option","author":"108651","description":"","caption":"Before running the new tool, you are given the option to save the edits. ","name":"saveeditsbuild","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 22:20:22","modified":"2023-07-03 22:20:51","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":399,"height":123,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild-213x123.png","thumbnail-width":213,"thumbnail-height":123,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","medium-width":399,"medium-height":123,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","medium_large-width":399,"medium_large-height":123,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","large-width":399,"large-height":123,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","1536x1536-width":399,"1536x1536-height":123,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","2048x2048-width":399,"2048x2048-height":123,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","card_image-width":399,"card_image-height":123,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/saveeditsBuild.png","wide_image-width":399,"wide_image-height":123}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>21.<\/strong> In the <strong>Build Multidimensional Info<\/strong> tool, enter the following parameters:<\/p>\n<ul>\n<li><strong>Mosaic Dataset<\/strong>: LacLaValliere_Fire<\/li>\n<li><strong>Variable Field<\/strong>: ProcTemplate<\/li>\n<li><strong>Variable Info<\/strong>: Multispectral<\/li>\n<li><strong>Dimension Fields<\/strong>: AcquisitionDate<\/li>\n<\/ul>\n<p><strong>22.<\/strong> Click <strong>Run<\/strong> to add the Multidimensional information to the mosaic dataset.<\/p>\n<p style=\"text-align: center\"><span style=\"text-decoration: underline\"><em>The mosaic dataset can sometimes suddenly change colors, this is normal. Simply remove the mosaic dataset and re-add it to the map.\u00a0<\/em><\/span><\/p>\n<p><strong>23.<\/strong> If necessary, remove the mosaic dataset from the map and re-add it.<\/p>\n<p>Now that you have a mosaic dataset with the necessary multidimensional information, you are ready to create the multidimensional image.<\/p>\n<p><strong>24.<\/strong> Open the <strong>Geoprocessing<\/strong> pane, locate the <strong>Copy Raster<\/strong> tool, and open the tool.<\/p>\n<p><strong>25.<\/strong> In the tool interface, select the <strong>LacLaValliere_Fire<\/strong> for <strong>Input Raster<\/strong>, click the browse button for <strong>Output Raster Dataset<\/strong>, and choose a good location and type <strong>LacLaValliere_Fire_MD.crf<\/strong> for the name.<\/p>\n<p>The .crf file extension is necessary to create a multidimensional image.<\/p>\n<p><strong>26.<\/strong> Confirm that <strong>Process as Multidimensional<\/strong> is checked and Run the tool.<\/p>\n<p>The output will be added directly to the map, but the colors will be washed out due to missing statistics on the image.<\/p>\n<p><strong>27.<\/strong> Remove the new image and re-add it to the map, the new image will have the correct colors and you will notice that the <strong>Multidimensional<\/strong> tab has been added to the ribbon.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2015282,"id":2015282,"title":"MDOutput","filename":"MDOutput.png","filesize":1726903,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-creation-of-multidimensional-imagery\/mdoutput","alt":"Multidimensional output","author":"108651","description":"","caption":"The new Multidimensional image with the available time slices. ","name":"mdoutput","status":"inherit","uploaded_to":2014002,"date":"2023-07-03 22:59:14","modified":"2023-07-03 22:59:47","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":920,"height":997,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput.png","medium-width":241,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput.png","medium_large-width":768,"medium_large-height":832,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput.png","large-width":920,"large-height":997,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput.png","1536x1536-width":920,"1536x1536-height":997,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput.png","2048x2048-width":920,"2048x2048-height":997,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput-429x465.png","card_image-width":429,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/07\/MDOutput.png","wide_image-width":920,"wide_image-height":997}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>This multidimensional image can be used as any other multidimensional imagery layer in ArcGIS Pro and can also be hosted in ArcGIS Image for ArcGIS Online. Simply create an imagery layer as a Single Raster, and for input choose the .crf file.<\/p>\n<p>Here is an example of the <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=f03c1c58297d4d3993d0bf796b8143ce\" target=\"_blank\" rel=\"noopener\">resulting imagery layer<\/a> if you were to host it in ArcGIS Online.<\/p>\n<h2>Ready to take the next step?<\/h2>\n<p><span data-contrast=\"none\">In Part 1, you learned to create a multidimensional image based on Landsat imagery. This imagery layer will be used in subsequent steps of this series to visualize and analyze wildfire damage. I hope these steps helped guide you in creating multidimensional data and I encourage you to read the next blog in this series to complete the assessment of wildfire damage.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/imagery\/assess-wildfire-damage-in-arcgis-online-part-2-host-multidimensional-imagery-layer\/\" target=\"_blank\" rel=\"noopener\">Go to Part 2: Host multidimensional imagery layer<\/a><\/p>\n<p>&nbsp;<\/p>\n"}],"authors":[{"ID":108651,"user_firstname":"Jeffrey","user_lastname":"Swain","nickname":"Jeff Swain","user_nicename":"jswain","display_name":"Jeff Swain","user_email":"JSwain@esri.com","user_url":"https:\/\/www.esri.com\/arcgis-blog\/?s=#&amp;author=jswain","user_registered":"2020-10-05 20:10:08","user_description":"A Product Engineer on the Raster Team, who has been with Esri in various capacities since 2009, including as an Esri Support Analyst, and an Author for Esri Training Services. \r\n\r\nI find joy in solving problems through imagery and shared understanding, always driven by a passion to make things work better. I'm grateful for the creative minds I've met along the way\u2014collaboration has shown me that the best solutions are often born from many voices working together.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/headshot-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"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'\/>"}],"related_articles":[{"ID":1829622,"post_author":"108651","post_date":"2023-02-22 22:00:14","post_date_gmt":"2023-02-23 06:00:14","post_content":"","post_title":"What's New in ArcGIS Image for ArcGIS Online (February 2023)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-image-for-arcgis-online-february-2023","to_ping":"","pinged":"","post_modified":"2023-02-23 08:19:35","post_modified_gmt":"2023-02-23 16:19:35","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1829622","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1941002,"post_author":"108651","post_date":"2023-06-14 22:00:31","post_date_gmt":"2023-06-15 05:00:31","post_content":"","post_title":"What's New in ArcGIS Image for ArcGIS Online (June 2023)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-in-arcgis-image-for-arcgis-online-june-2023","to_ping":"","pinged":"","post_modified":"2023-06-20 13:22:13","post_modified_gmt":"2023-06-20 20:22:13","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1941002","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1083271,"post_author":"8222","post_date":"2020-12-17 11:14:50","post_date_gmt":"2020-12-17 19:14:50","post_content":"","post_title":"How to create multidimensional raster data","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"create-multidimensional-raster-data","to_ping":"","pinged":"","post_modified":"2022-04-18 17:19:25","post_modified_gmt":"2022-04-19 00:19:25","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1083271","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":855951,"post_author":"8222","post_date":"2020-07-28 08:25:41","post_date_gmt":"2020-07-28 15:25:41","post_content":"","post_title":"Let's do data science III: Multidimensional Raster Analysis in ArcGIS 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