{"id":740912,"date":"2026-08-17T15:08:22","date_gmt":"2026-08-17T15:08:22","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/740912\/"},"modified":"2026-08-17T15:08:22","modified_gmt":"2026-08-17T15:08:22","slug":"ai-eyes-in-the-sky-new-satellites-and-artificial-intelligence-are-transforming-wildfire-detection-firefighters","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/740912\/","title":{"rendered":"AI eyes in the sky: new satellites and artificial intelligence are transforming wildfire detection | Firefighters"},"content":{"rendered":"

The fires in Spokane, Washington<\/a>, this summer are the latest reminder that when a wildfire is detected can be just as important as where it starts. A blaze found within minutes can often be contained before it spreads. Wait too long, and a small spark can become a major disaster.<\/p>\n

A new effort to shorten that timeline began in July when a SpaceX<\/a> rocket carried the first three FireSat satellites into orbit. The trio is the first part of a planned network of 50 satellites built solely to spot wildfires while they are still small enough to stop.<\/p>\n

FireSat is designed to fill an important gap. Existing weather and Earth-observing satellites can detect large fires, but they often lack the resolution or revisit the same location too infrequently to spot small fires shortly after they ignite. FireSat is designed to detect fires as small as a beach bonfire and, once the full constellation is deployed, scan every point on Earth about every 20 minutes.<\/p>\n

The satellites use infrared sensors and artificial intelligence to search for heat that could signal a new wildfire. The system compares new images with earlier ones and accounts for factors such as weather conditions and nearby sources of heat before sending alerts to emergency responders. The goal is to identify real wildfires while reducing false alarms.<\/p>\n

FireSat is designed to work alongside a growing network of cameras on the ground that use artificial intelligence to search for smoke and heat. Together, the systems could give firefighters their earliest warning yet that a fire has started.<\/p>\n<\/p>\n

Finding fires faster<\/p>\n

Wildfires have become one of the most destructive natural disasters in the United States. Rising temperatures, prolonged drought and more frequent stretches of hot, dry and windy weather have made fires easier to ignite and harder to contain.<\/p>\n

Climate Central reports<\/a> that some parts of the western United States now experience about two more months of fire weather each year than they did in the 1970s.<\/p>\n

For firefighters, every minute matters.<\/p>\n

High in the mountains west of Denver<\/a>, two technicians climbed a 150ft cell tower to inspect a pair of wildfire-detection cameras built by Pano AI.<\/p>\n

\u201cThere are two Pano AI cameras,\u201d said Arvind Satyam, co-founder of the San Francisco startup. \u201cThey\u2019re sitting on top of that cell tower.\u201d<\/p>\n

AI cameras being installed to detect wildfires in Denver. Photograph: Climate Central<\/p>\n

Pano AI has installed more than 1,400 cameras across 17 states. The cameras continuously scan the landscape from towers and mountain tops. Artificial intelligence reviews every image, searching for smoke during the day and heat after dark.<\/p>\n

\u201cThe AI algorithms are being run continuously on that imagery to say \u2018smoke, not smoke,\u2019\u201d Satyam said. \u201cAt night-time, we\u2019re looking at heat signatures, so heat versus cold. And then we\u2019re able to zoom in and validate that it is a potential fire start.\u201d<\/p>\n

If the system spots a possible fire, a human analyst reviews the images before an alert is sent to fire agencies. That process often takes only a few minutes.<\/p>\n

Getting there before the first 911 call<\/p>\n

Firefighters say that head start can make all the difference.<\/p>\n

\u201cIt\u2019s a great tool to validate what\u2019s going on,\u201d said Brendan Finnegan, assistant chief with West Metro fire rescue near Denver. \u201cHaving those eyes that can alert us well in advance of potentially a 911 call make it a valuable tool for us.\u201d<\/p>\n

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California has built one of the largest camera networks in the country through Alert California<\/a>. The system includes more than 1,200 cameras used by Cal Fire.<\/p>\n

\u201cThis is all of our cameras,\u201d said Chief Phillip SeLegue standing before a wall of live camera feeds in one of Cal Fire\u2019s control centers.<\/p>\n

The Pano AI system. Photograph: Climate Central<\/p>\n

SeLegue said the system now detects about half of all wildfires before anyone calls 911.<\/p>\n

One recent fire near Fresno was spotted about 20 minutes before the first emergency call reached dispatchers. Firefighters were able to respond quickly and keep the blaze from growing.<\/p>\n

\u201cAt Cal Fire, one of our missions is to suppress 95% of our fires at 10 acres or less,\u201d SeLegue said. \u201cThis system helps us in accomplishing that goal.<\/p>\n

\u201cWe trust it enough that when we receive that detection, we\u2019re already starting the process of sending resources to it.\u201d<\/p>\n

The fires people never hear about<\/p>\n

Ground cameras can only see the landscapes in front of them. Satellites<\/a> can watch vast stretches of remote forests, mountains and grasslands where there are no cameras and often no people to report a fire. The two systems are designed to work with each other. Together, they could give firefighters a faster and more complete picture of where fires are starting.<\/p>\n

A fire that is detected quickly and extinguished while it is still small rarely attracts attention. That is exactly the outcome firefighters are working toward.<\/p>\n

\u201cThe fires that this system has helped us dispatch resources to are the fires you don\u2019t read about in the papers,\u201d SeLegue said. \u201cThe ones you don\u2019t see.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"The fires in Spokane, Washington, this summer are the latest reminder that when a wildfire is detected can…\n","protected":false},"author":2,"featured_media":740913,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-740912","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/740912","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=740912"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/740912\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/740913"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=740912"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=740912"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=740912"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}