{"id":2009162,"date":"2023-06-30T10:20:55","date_gmt":"2023-06-30T17:20:55","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2009162"},"modified":"2023-08-02T14:17:17","modified_gmt":"2023-08-02T21:17:17","slug":"assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-raster-analysis","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/assessing-canadian-wildfire-damage-with-landsat-data-and-arcgis-online-raster-analysis","title":{"rendered":"Assess wildfire damage in ArcGIS Online – Part 5 (Assess damage)"},"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":[770432,29991,24661,194042],"industry":[],"product":[767992,36551],"class_list":["post-2009162","blog","type-blog","status-publish","format-standard","hentry","category-imagery","category-natural-resources","tag-canada-fires","tag-raster-analysis","tag-raster-functions","tag-wildfire","product-arcgis-image-for-arcgis-online","product-arcgis-online"],"acf":{"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=#&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":""},{"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 & Remote Sensing team at Esri with a passion for AI and big data analytics.","user_avatar":""}],"short_description":"Landsat imagery provides a great way to assess damage to regions from wildfires and ArcGIS Image can analyze the imagery to produce new insights.","flexible_content":[{"acf_fc_layout":"content","content":"

The frequency and severity of wildfires around the world are rising, making the tracking and assessment of wildfire damage a critical issue. However, monitoring these wildfires is made intuitive and seamless with ArcGIS Image for ArcGIS Online<\/a>.<\/p>\n

In Part 4 of this blog series,<\/a> we explored how you can create a hosted, tiled imagery layer with Landsat imagery. Now, in Part 5, we will examine how to identify the burned areas within the study area with raster analysis tools.<\/p>\n

This blog is Part 5 of 5 \u2013 collectively, this series will analyze one specific wildfire incident and will cover the following topics:<\/p>\n

    \n
  1. Create multidimensional imagery<\/a><\/li>\n
  2. Host multidimensional imagery layer<\/a><\/li>\n
  3. Review wildfire in time series<\/a><\/li>\n
  4. Host Landsat imagery layers<\/a><\/li>\n
  5. Assess damage<\/a><\/li>\n<\/ol>\n

    Let\u2019s get started!<\/p>\n

    Location<\/h3>\n

    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 3, 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":"

    Software<\/h3>\n

    Internet browser with access to\u00a0www.arcgis.com<\/a><\/p>\n

    Data<\/h3>\n

    There are going to be three primary imagery layers that will be the focus of the web map, but we won’t simply host them and then present them. With imagery layers from ArcGIS Image, imagery layers aren’t just context or background, they are story elements. However, before we get to that, let’s view the three input imagery layers. All three of the imagery layers are Landsat images, one is collected with the Landsat 9 sensor and the other two with Landsat 8. All of the hosted imagery layers have 8 bands to use to use for visualizations and analysis. (There are 11 raster bands in all the input Landsat images, but for this analysis the multispectral processing template was chosen so only 8 will be visible in this version of the imagery layers.)<\/p>\n

    All three of these imagery layers are tiled imagery layers hosted in ArcGIS Image for ArcGIS Online.<\/p>\n

    Lac La Valliere Wildfire – Pre-fire<\/a><\/p>\n

    Lac La Valliere Wildfire – Active burn<\/a><\/p>\n

    Lac La Valliere Wildfire – Damaged<\/a><\/p>\n

    These images show before, during, and after the wildfire strikes the location and can start to tell the story of the damage done to that particular area and begin the process of recovery. Now that you have reviewed the input imagery, you will begin visualizing wildfire damage. Satellite data like this provides a record of what is happening on the ground and is a great choice to visualize wildfires in ArcGIS Online.<\/p>\n

    Map<\/h3>\n

    A webmap has been created with the above layers and an additional imagery layer that combines all three of the imagery layers into a multidimensional tiled imagery layer. This multidimensional imagery layer will allow us to animate the study area and see the damage as it happens.<\/p>\n

    1.<\/strong> Sign into ArcGIS Online<\/strong> and then open this web map<\/a>.<\/p>\n

    Once the webmap opens, take a look at the layers that have been added to the map. There should be the following layers:<\/p>\n