{"id":1043861,"date":"2020-10-26T09:43:08","date_gmt":"2020-10-26T16:43:08","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1043861"},"modified":"2024-11-01T00:17:10","modified_gmt":"2024-11-01T07:17:10","slug":"using-arcade-to-extract-meaning-from-satellite-fire-detections","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections","title":{"rendered":"Using Arcade to Extract Meaning from Satellite Fire Detections"},"author":34311,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[777102,22941],"tags":[757311,193432,194042,754262],"industry":[],"product":[36581,36551],"class_list":["post-1043861","blog","type-blog","status-publish","format-standard","hentry","category-arcade","category-mapping","tag-infrared","tag-viirs","tag-wildfire","tag-wildland-fire","product-arcgis-living-atlas","product-arcgis-online"],"acf":{"short_description":"Explore different ways of symbolizing wildfire detections using Arcade and NASA's VIIRS layer available in Living Atlas.","flexible_content":[{"acf_fc_layout":"content","content":"

Earlier this year <\/span>Satellite VIIRS Thermal Hotspot and Fire Activity<\/a> from NASA\u2019s Land, Atmosphere Near real-time Capability for <\/span>EOS (LANCE) Earth Observation Data<\/span><\/a>, part of NASA’s Earth Science Data was made available in <\/span>Living Atlas<\/a> as a Live Feed.<\/span> This global layer represents the most frequently updated and most detailed remotely sensed fire information. Detection attributes include time, location, and intensity and it can be used to track the location of fires from a few hours ago up to seven days behind real time.<\/span>\u00a0<\/span><\/p>\n

Fires Vary in Nature from Place to Place Around the World<\/h2>\n

These<\/span> detections show many<\/span> interesting hotspots <\/span>around the world<\/span>.<\/span>\u00a0<\/span><\/p>\n

F<\/span>or <\/span>example,<\/span> h<\/span>ere in <\/span>Itaituba<\/span>, Par\u00e1, Brazil we can see conversion from forest to farmland taking place, using fire, just to the east of Amaz\u00f4nia National Park.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1043891,"id":1043891,"title":"Amazon","filename":"Amazon.jpg","filesize":191884,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/amazon-2","alt":"","author":"34311","description":"","caption":"Capture date September 30, 2020","name":"amazon-2","status":"inherit","uploaded_to":1043861,"date":"2020-10-21 16:01:19","modified":"2020-10-26 16:45:38","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":1700,"height":859,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon.jpg","medium-width":464,"medium-height":234,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon.jpg","medium_large-width":768,"medium_large-height":388,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon.jpg","large-width":1700,"large-height":859,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon-1536x776.jpg","1536x1536-width":1536,"1536x1536-height":776,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon.jpg","2048x2048-width":1700,"2048x2048-height":859,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon-826x417.jpg","card_image-width":826,"card_image-height":417,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon.jpg","wide_image-width":1700,"wide_image-height":859}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Amazon.jpg"},{"acf_fc_layout":"content","content":"

Flaring can be seen where oil and gas production is active like here near Basra, Iraq.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1043901,"id":1043901,"title":"Basra, Iraq VIIRS heat points","filename":"Basra.jpg","filesize":228499,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/basra","alt":"Basara, Iraq VIIRS heat points","author":"34311","description":"","caption":"Capture date September 30, 2020","name":"basra","status":"inherit","uploaded_to":1043861,"date":"2020-10-21 16:02:40","modified":"2020-10-21 16:03:35","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":1702,"height":859,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra.jpg","medium-width":464,"medium-height":234,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra.jpg","medium_large-width":768,"medium_large-height":388,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra.jpg","large-width":1702,"large-height":859,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra-1536x775.jpg","1536x1536-width":1536,"1536x1536-height":775,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra.jpg","2048x2048-width":1702,"2048x2048-height":859,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra-826x417.jpg","card_image-width":826,"card_image-height":417,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra.jpg","wide_image-width":1702,"wide_image-height":859}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Basra.jpg"},{"acf_fc_layout":"content","content":"

You can see the thermal signature of Mount <\/span><\/span>Nyiragongo<\/span><\/span> volcano in Virunga National Park, Democratic Republic of the Congo.<\/span><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1043921,"id":1043921,"title":"thermal signature of Mount Nyiragongo volcano","filename":"Goma.jpg","filesize":238017,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/goma","alt":"thermal signature of Mount Nyiragongo volcano","author":"34311","description":"","caption":"Capture date September 30, 2020","name":"goma","status":"inherit","uploaded_to":1043861,"date":"2020-10-21 16:12:56","modified":"2020-10-21 16:13:46","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":1698,"height":857,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma.jpg","medium-width":464,"medium-height":234,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma.jpg","medium_large-width":768,"medium_large-height":388,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma.jpg","large-width":1698,"large-height":857,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma-1536x775.jpg","1536x1536-width":1536,"1536x1536-height":775,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma.jpg","2048x2048-width":1698,"2048x2048-height":857,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma-826x417.jpg","card_image-width":826,"card_image-height":417,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma.jpg","wide_image-width":1698,"wide_image-height":857}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Goma.jpg"},{"acf_fc_layout":"content","content":"

In the western United <\/span><\/span>States<\/span><\/span> the layer has been used to <\/span><\/span>track<\/span><\/span> wildfires<\/span><\/span> as<\/span><\/span> shown here in California<\/span><\/span>.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1043931,"id":1043931,"title":"Thermal imagery of California wildfires","filename":"CaliFinal-scaled.jpg","filesize":665374,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/califinal","alt":"Thermal imagery of California wildfires","author":"34311","description":"","caption":"Capture date October 2,2020","name":"califinal","status":"inherit","uploaded_to":1043861,"date":"2020-10-21 16:14:29","modified":"2020-10-21 16:15:27","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":1292,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-scaled.jpg","medium-width":464,"medium-height":234,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-scaled.jpg","medium_large-width":768,"medium_large-height":388,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-scaled.jpg","large-width":1920,"large-height":969,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-1536x775.jpg","1536x1536-width":1536,"1536x1536-height":775,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-2048x1034.jpg","2048x2048-width":2048,"2048x2048-height":1034,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-826x417.jpg","card_image-width":826,"card_image-height":417,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-1920x969.jpg","wide_image-width":1920,"wide_image-height":969}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/CaliFinal-scaled.jpg"},{"acf_fc_layout":"content","content":"

Using VIIRS for Mapping <\/span>Wildfires<\/span>\u00a0<\/span><\/h2>\n
Once VIIRS became part of Living Atlas, its users showed us that there are many ways this layer can be leveraged, but by far the most popular so far has been to track the wildfires that happened in the western United States over the 2020 summer. Most of the 36 million views of this service <\/span>stemmed from <\/span>a variety of<\/span> maps and apps <\/span>helping <\/span>local governments, fire agencies, and <\/span>curious and worried map readers <\/span>track <\/span>ongoing fire<\/span> activity<\/span>.\u00a0<\/span> As <\/span>th<\/span>e <\/span>use grew,<\/span> different people<\/span> and organizations<\/span> began to<\/span> use <\/span>th<\/span>is<\/span> layer and<\/span> its <\/span>depth and versatility surprised us. <\/span>After spending some time thinking about how this layer could help better understand<\/span> wildfire<\/span> situational awarenes<\/span>s,<\/span> we <\/span>dove deeper into<\/span> answering:<\/span> H<\/span>ow <\/span>additionally <\/span>can <\/span>Arcade be used to <\/span>visualize <\/span>VIIRS in terms of the <\/span>wildfire events that happen in the western United States and Australia<\/span>?<\/span><\/div>\n

Example 1: Versatile by Default<\/h4>\n

The layer\u2019s default symbology is designed to be <\/span>functional <\/span>and <\/span>for<\/span> all-around <\/span>use globally<\/span>. <\/span>Right out of the box<\/span> from Living Atlas<\/span> it can be <\/span>easily added to your web map or Pro project <\/span>to display <\/span>the <\/span>location and<\/span> characteristics<\/span> of fires <\/span>happing <\/span>right <\/span>now through the past seven days<\/span>. It\u2019s<\/span> already <\/span>set <\/span>up,<\/span> with<\/span> the c<\/span>artography and popups are ready to go, and it<\/span> also was designed to<\/span> work with most of our stock<\/span> light and dark<\/span> basemaps<\/span>.\u00a0<\/span>\u00a0<\/span><\/p>\n

You can see h<\/span>ere <\/span>on<\/span> the Mullen Fire in Wyoming<\/span> and Colorado that <\/span>the big symbols with yellow halos show where the fire <\/span>wa<\/span>s burning with the most power.\u00a0<\/span> As time goes by, the points fade away, just like memories<\/span> do<\/span>.<\/span> The places<\/span> on the fire\u2019s edge<\/span> with the most current fire detections show up bright red and orange<\/span>, grabbing your attention.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046781,"id":1046781,"title":"Mullen1","filename":"Mullen1.jpg","filesize":191303,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/mullen1","alt":"","author":"34311","description":"","caption":"Capture date Oct 2, 2020","name":"mullen1","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:22:22","modified":"2020-10-26 16:22:55","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":975,"height":856,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg","medium-width":297,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg","medium_large-width":768,"medium_large-height":674,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg","large-width":975,"large-height":856,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg","1536x1536-width":975,"1536x1536-height":856,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg","2048x2048-width":975,"2048x2048-height":856,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1-530x465.jpg","card_image-width":530,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg","wide_image-width":975,"wide_image-height":856}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen1.jpg"},{"acf_fc_layout":"content","content":"

Let\u2019s take you behind the scenes of the default symbology a bit. Five symbol sizes express the Fire Radiative Power (FRP) as detected by the VIIRS satellites, in megawatts. As time goes by the symbols fade, but how <\/span><\/span>does<\/span><\/span> the service do that? What\u2019s the technique?<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046791,"id":1046791,"title":"VIIRSAll","filename":"VIIRSAll-scaled.jpg","filesize":297749,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/viirsall","alt":"","author":"34311","description":"","caption":"","name":"viirsall","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:23:43","modified":"2020-10-26 16:23:43","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":1492,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-scaled.jpg","medium-width":448,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-scaled.jpg","medium_large-width":768,"medium_large-height":448,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-scaled.jpg","large-width":1853,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-1536x895.jpg","1536x1536-width":1536,"1536x1536-height":895,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-2048x1194.jpg","2048x2048-width":2048,"2048x2048-height":1194,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-798x465.jpg","card_image-width":798,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-1853x1080.jpg","wide_image-width":1853,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSAll-scaled.jpg"},{"acf_fc_layout":"content","content":"

On social media we see people\u2019s urgent questions: <\/span>W<\/span>here\u2019s the fire now? Which way is it headed? What has burned already?<\/span>\u00a0<\/span><\/p>\n

What\u2019s most meaningful to people is finding the most current information, that\u2019s the impulse to track fires using an <\/span>E<\/span>sri<\/span> Live Feed<\/span><\/a> service.<\/span> T<\/span>hey want what\u2019s currently burning to get their attention. <\/span>However, b<\/span>y default<\/span> h<\/span>otspots in the <\/span>VIIRS detection and fire activity <\/span>layer<\/span> start<\/span> to become more transparent just 24 hours after detection. <\/span>When we get to one<\/span> week since the detection, it fades to <\/span>become <\/span>a mostly transparent symbol.<\/span>\u00a0<\/span><\/p>\n

In Arcade we made an expression that symbolizes all the detections by how many hours ago they occurred. This is the most meaningful aspect of time when tracking a fire. Symbolizing <\/span>by <\/span>the fire\u2019s date is a bit abstract and can be distracting. Even wors<\/span>e, the satellite detections have their date in <\/span>Coordinated Universal Time (<\/span>UTC<\/span>)<\/span>. This is a global map and there may be detections with tomorrow\u2019s date on them<\/span>.<\/span> Using <\/span>Arcade<\/span> we can get the time right now in UTC using the <\/span>timestamp(<\/span>) <\/span>and\u00a0<\/span> datediff<\/span>() method<\/span>s<\/span> to subtract the time in UTC of the detection from the time the <\/span>actual <\/span>map is being read in UTC. <\/span>This is the way to get<\/span> t<\/span>he<\/span> UTC time out of the way, and round the number of hours ago the fire was detected to the nearest hour.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046801,"id":1046801,"title":"HoursSinceDetections","filename":"HoursSinceDetections.jpg","filesize":34183,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/hourssincedetections","alt":"","author":"34311","description":"","caption":"","name":"hourssincedetections","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:24:27","modified":"2020-10-26 16:24:27","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":907,"height":694,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg","medium-width":341,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg","medium_large-width":768,"medium_large-height":588,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg","large-width":907,"large-height":694,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg","1536x1536-width":907,"1536x1536-height":694,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg","2048x2048-width":907,"2048x2048-height":694,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections-608x465.jpg","card_image-width":608,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg","wide_image-width":907,"wide_image-height":694}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/HoursSinceDetections.jpg"},{"acf_fc_layout":"content","content":"

This gives us a much more relatable way to symbolize the map and indicate how current the fire <\/span><\/span>i<\/span><\/span>s in the map popups which<\/span><\/span> also leverage<\/span><\/span>s<\/span><\/span> this expression.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046811,"id":1046811,"title":"VIIRSPopup","filename":"VIIRSPopup.jpg","filesize":31558,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/viirspopup","alt":"","author":"34311","description":"","caption":"","name":"viirspopup","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:25:03","modified":"2020-10-26 16:25:03","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":447,"height":286,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","medium-width":408,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","medium_large-width":447,"medium_large-height":286,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","large-width":447,"large-height":286,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","1536x1536-width":447,"1536x1536-height":286,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","2048x2048-width":447,"2048x2048-height":286,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","card_image-width":447,"card_image-height":286,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg","wide_image-width":447,"wide_image-height":286}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/VIIRSPopup.jpg"},{"acf_fc_layout":"content","content":"

Example 2: Symbolize Current Detections by Power and if it\u2019s 2-7 Days Old, Symbolize by Time<\/h4>\n

We just learned that the <\/span>default symbology <\/span>relies heavily on transparency to visualize<\/span> global heat detections and their intensity.<\/span> Maybe <\/span>though <\/span>you\u2019d prefer only to see the power of the fire if it occurred in the past 24 hours, and if it happened over a day ago you don\u2019t particularly care about <\/span>how <\/span>powerful<\/span> the fire was?<\/span>\u00a0<\/span> Let\u2019s say you are watching a wildfire burn near your home and wondering which side of the fire is still burning<\/span>, where is it going,<\/span> and how that might affect you?<\/span>\u00a0<\/span><\/p>\n

ArcGIS <\/span>O<\/span>nline<\/span> has <\/span>dynamic<\/span> tools for showing two variables at once. If we show the fire\u2019s power and the number of hours since it occurred, we can end up easily with 15-25 symbols on the map. People stumble to interpret the points, and the legend gets very long, like a grocery store receipt. <\/span>Again,<\/span> w<\/span>e can use <\/span>A<\/span>rcade to trim it down<\/span> to<\/span> the most meaningful seven symbols. We can show the fire\u2019s <\/span>\u201ccurrent\u201d<\/span> intensity<\/span>,<\/span> then if it\u2019s not current, <\/span>show a dull symbol for detections 1-2 days ago, and duller still for fires 2-7 days ago<\/span>.\u00a0 With this visualization on the Mullen Fire you can see that there is higher intensity growth on the north<\/span>west<\/span> and <\/span>east <\/span>areas <\/span>of the fire<\/span> and <\/span>lighter<\/span> activity<\/span> across the<\/span> interior on the southern <\/span>half of the fire<\/span>.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046821,"id":1046821,"title":"Mullen2","filename":"Mullen2.jpg","filesize":198665,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/mullen2","alt":"","author":"34311","description":"","caption":"Capture date Oct 2, 2020","name":"mullen2","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:25:46","modified":"2020-10-26 16:26:10","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":975,"height":856,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg","medium-width":297,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg","medium_large-width":768,"medium_large-height":674,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg","large-width":975,"large-height":856,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg","1536x1536-width":975,"1536x1536-height":856,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg","2048x2048-width":975,"2048x2048-height":856,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2-530x465.jpg","card_image-width":530,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg","wide_image-width":975,"wide_image-height":856}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen2.jpg"},{"acf_fc_layout":"content","content":"

In the arcade expression below, <\/span><\/span>the variable <\/span><\/span>timeago<\/span><\/span> captures<\/span><\/span> the value of the number of hours ago <\/span><\/span>each<\/span><\/span> fire was detected. <\/span><\/span>Using the <\/span><\/span>i<\/span><\/span>if<\/span><\/span>(<\/span><\/span>) logical function, we combine the strings for time and power of the fire for the legend if it\u2019s less than 24 hours old. If it\u2019s<\/span><\/span> older than that, the legend string<\/span><\/span> doesn\u2019t include the <\/span><\/span>FRPSize<\/span><\/span> at all. We end up with just seven <\/span><\/span>symbols<\/span><\/span>, we communicate what\u2019s most meaningful without blowing up the legend with too many symbols.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046831,"id":1046831,"title":"AgePower","filename":"AgePower.jpg","filesize":63106,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/agepower","alt":"","author":"34311","description":"","caption":"","name":"agepower","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:26:48","modified":"2020-10-26 16:26:48","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":916,"height":705,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg","medium-width":339,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg","medium_large-width":768,"medium_large-height":591,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg","large-width":916,"large-height":705,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg","1536x1536-width":916,"1536x1536-height":705,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg","2048x2048-width":916,"2048x2048-height":705,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower-604x465.jpg","card_image-width":604,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg","wide_image-width":916,"wide_image-height":705}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/AgePower.jpg"},{"acf_fc_layout":"content","content":"

Example 3: Strictly Time<\/h4>\n

Let\u2019s consider looking at this layer strict<\/span>ly from a<\/span> time perspective where the age of the detection is represented by color. If we use the <\/span>same <\/span>Hours Since Detection expression for the symbology, then we can answer the question<\/span>:<\/span> W<\/span>here is the latest heat detection<\/span>,<\/span> irregardless<\/span> of size or any other <\/span>interpretation<\/span>? By selecting an intuitive ArcGIS Online yellow to red gradient<\/span> (available as a default)<\/span> to highlight this you can quickly determine <\/span>exactly <\/span>where the fire looks to still be<\/span> burning<\/span>.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046841,"id":1046841,"title":"Mullen3","filename":"Mullen3.jpg","filesize":191786,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/mullen3","alt":"","author":"34311","description":"","caption":"","name":"mullen3","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:27:33","modified":"2020-10-26 16:27:33","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":975,"height":856,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg","medium-width":297,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg","medium_large-width":768,"medium_large-height":674,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg","large-width":975,"large-height":856,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg","1536x1536-width":975,"1536x1536-height":856,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg","2048x2048-width":975,"2048x2048-height":856,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3-530x465.jpg","card_image-width":530,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg","wide_image-width":975,"wide_image-height":856}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3.jpg"},{"acf_fc_layout":"content","content":"

This time we applied the <\/span><\/span>Hours <\/span><\/span>S<\/span><\/span>i<\/span><\/span>nce<\/span><\/span> Detection expression on the symbology<\/span><\/span>,<\/span><\/span> as well<\/span><\/span>,<\/span><\/span> we also used<\/span><\/span> it to<\/span><\/span> set <\/span><\/span>the<\/span><\/span> transparency t<\/span><\/span>o help<\/span><\/span> the most active locations<\/span><\/span> really pop out.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046851,"id":1046851,"title":"TimeExpressionTrans","filename":"TimeExpressionTrans-scaled.jpg","filesize":155985,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/timeexpressiontrans","alt":"","author":"34311","description":"","caption":"","name":"timeexpressiontrans","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:28:11","modified":"2020-10-26 16:28:11","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":1040,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-scaled.jpg","medium-width":464,"medium-height":189,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-scaled.jpg","medium_large-width":768,"medium_large-height":312,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-scaled.jpg","large-width":1920,"large-height":780,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-1536x624.jpg","1536x1536-width":1536,"1536x1536-height":624,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-2048x832.jpg","2048x2048-width":2048,"2048x2048-height":832,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-826x335.jpg","card_image-width":826,"card_image-height":335,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-1920x780.jpg","wide_image-width":1920,"wide_image-height":780}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/TimeExpressionTrans-scaled.jpg"},{"acf_fc_layout":"content","content":"

Let\u2019s look at three days of VIIRS detections using the three different classification methods on the Mu<\/span><\/span>llen Fire to see how the different visualizations help to better understand the fire situation.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1046861,"id":1046861,"title":"Mullen3DaysVIIRS-01","filename":"Mullen3DaysVIIRS-01.jpg","filesize":759242,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\/mullen3daysviirs-01","alt":"","author":"34311","description":"","caption":"","name":"mullen3daysviirs-01","status":"inherit","uploaded_to":1043861,"date":"2020-10-26 16:28:56","modified":"2020-10-26 16:28:56","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":1851,"height":2043,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01.jpg","medium-width":236,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01.jpg","medium_large-width":768,"medium_large-height":848,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01.jpg","large-width":979,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01-1392x1536.jpg","1536x1536-width":1392,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01.jpg","2048x2048-width":1851,"2048x2048-height":2043,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01-421x465.jpg","card_image-width":421,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01-979x1080.jpg","wide_image-width":979,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Mullen3DaysVIIRS-01.jpg"},{"acf_fc_layout":"content","content":"

Take a look<\/span> at<\/span> the<\/span> norther<\/span>n<\/span> area of the<\/span> fire in <\/span>e<\/span>xamples <\/span>1 and 2 you <\/span>can see <\/span>a higher <\/span>FRP <\/span>intensity of the points <\/span>very distinctly <\/span>on 10\/4<\/span>, and then <\/span>predictably <\/span>on 10\/5 and 10\/6 the fire <\/span>grows<\/span> in that direction<\/span>.<\/span> You can <\/span>see <\/span>that<\/span> reflected in the <\/span>update<\/span> of<\/span> the <\/span>next <\/span>day<\/span>\u2019<\/span>s perimeter<\/span>.<\/span> Along the <\/span>east <\/span>side<\/span>, where the fire was moving toward Hwy 230,<\/span> the activity <\/span>is<\/span> more visible in <\/span>e<\/span>xample <\/span>3 given the <\/span>fire <\/span>intensity at <\/span>th<\/span>e<\/span> time of <\/span>detection <\/span>was lower<\/span>.<\/span> In that case displaying the data by time <\/span>provides a clear<\/span>er<\/span> picture of where <\/span>active <\/span>fire growth is <\/span>occurring<\/span>.<\/span>\u00a0<\/span><\/p>\n

All wildfires behave differently and your needs <\/span>for <\/span>mapping the fire or <\/span>providing updates to your audience may be different. <\/span>Using<\/span> these three display techniques<\/span> interchangeably<\/span> you can get the most information from th<\/span>e VIIRS layer<\/span>.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>\n

Resources<\/h2>\n

The <\/span>Arcade expressions demonstrated above<\/span> can be found <\/span>here<\/span><\/a> in this web map<\/span>.<\/span> There have been many blogs written about <\/span>Arcade <\/span>and some of our favorites are linked below.<\/span>\u00a0<\/span><\/p>\n

For more information on Esri\u2019s support for <\/span>w<\/span>ildfires <\/span>please <\/span>visit <\/span>our <\/span>Disaster Response Program (DRP)<\/span><\/a>.\u00a0<\/span> DRP<\/span> assists organizations responding to disasters or crises worldwide <\/span>by providing<\/span> GIS technology and <\/span>technical<\/span> expertise when an organization\u2019s capacity is exceeded.<\/span>\u00a0<\/span><\/p>\n"}],"authors":[{"ID":34311,"user_firstname":"Chris","user_lastname":"Ferner","nickname":"Fern","user_nicename":"cferner","display_name":"Chris (Fern) Ferner","user_email":"CFerner@esri.com","user_url":"","user_registered":"2020-05-13 21:36:45","user_description":"Fern was the wildland fire specialist on Esri's Public Safety team. She has worked professionally in forestry and wildland fire GIS for 20 years.","user_avatar":""},{"ID":8492,"user_firstname":"Emily","user_lastname":"Meriam","nickname":"Emily Meriam","user_nicename":"emeriam","display_name":"Emily Meriam","user_email":"EMeriam@esri.com","user_url":"https:\/\/www.instagram.com\/emilymeriam\/","user_registered":"2018-10-26 16:33:49","user_description":"Emily Meriam has a diverse GIS background that spans more than two decades. Her portfolio includes mapping elephants in Thailand, wildlife poachers in the Republic of Palau, land-use issues around Yosemite National Park, and active wildfire incidents for the State of California. Since 2018, Emily has been with Esri's ArcGIS Living Atlas of the World. In this role she serves as lead Cartographer and Senior GIS Engineer for the Environment Team where she styles and designs layers, maps, and applications for the global GIS community. Outside of her professional endeavors, Emily is a passionate geographer who enjoys exploring the world with her family.","user_avatar":""},{"ID":4941,"user_firstname":"Michael","user_lastname":"Dangermond","nickname":"Michael Dangermond","user_nicename":"mdangermond","display_name":"Michael Dangermond","user_email":"MDangermond@esri.com","user_url":"","user_registered":"2018-03-02 00:16:36","user_description":"Michael Dangermond has over 25 years experience in GIS in such diverse fields as cartography, agriculture, international boundary delineation, environmental protection, regional planning, park planning, land and wildlife conservation, and forestry. 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Information","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"new-wildfire-and-weather-map-for-public-information","to_ping":"","pinged":"","post_modified":"2020-08-21 18:00:36","post_modified_gmt":"2020-08-22 01:00:36","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=985842","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":509862,"post_author":"4291","post_date":"2019-05-24 10:20:56","post_date_gmt":"2019-05-24 17:20:56","post_content":"","post_title":"Discover patterns in your data with ArcGIS Arcade","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"discover-patterns-in-your-data-with-arcgis-arcade","to_ping":"","pinged":"","post_modified":"2024-11-11 12:34:04","post_modified_gmt":"2024-11-11 20:34:04","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=509862","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Card_ArcadeVIIRS.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2020\/10\/Banner_ArcadeVIIRS.jpg"},"yoast_head":"\nUsing Arcade to Extract Meaning from Satellite Fire Detections<\/title>\n<meta name=\"description\" content=\"Explore different ways of symbolizing wildfire detections using Arcade and NASA's VIIRS layer available in Living Atlas.\" \/>\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-living-atlas\/mapping\/using-arcade-to-extract-meaning-from-satellite-fire-detections\" \/>\n<meta property=\"og:locale\" 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