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These Are the First FireSat Images for Finding Wildfires from Space

A new satellite program backed by Google and global nonprofits is looking to mitigate destructive fire seasons.

At Google I/O in May, Google revealed that it’s working with the Earth Fire Alliance on FireSat, a program that combines new high-resolution satellites with AI analysis to pinpoint wildfires in their earliest stages and help responders knock them down before they grow. This week the alliance released the first images captured by the initial satellite, showing how fires as small as 5-by-5 meters — about the size of a classroom — can be detected from space.

Existing satellite systems scan for fires, but at a coarser resolution. In one image from Oregon, using MWIR (Mid-Wave Infrared) heat-sensing imaging, a small roadside fire showed up as a bright speck. According to the alliance, it wasn’t detected by other space-based systems.

This example from Ontario, Canada, on June 15, 2025, shows the Nipigon 6 fire, a new blaze detected using the MWIR spectrum, but it also shows how LWIR (Long-Wave Infrared) was used to identify areas left over from a previous burn in 2020, which are heated due to a lack of vegetation. At the bottom, a false-color composite of SWIR (Short-Wave Infrared), NIR (Near-Infrared) and visible Red channels helps track the life cycle of the fire.

Currently, the Earth Fire Alliance has one protoflight satellite, built by Muon Space, aloft for testing. With three satellites in orbit, FireSat will be able to scan locations globally twice a day. And when the program is fully operational, in 2030, a network of more than 50 satellites is expected to cut that time down to 20 minutes; for areas that are more prone to fires, that interval will be every 9 to 12 minutes.

One key reason for Google’s involvement in the alliance is to sort through the massive amount of data that will be generated. Muon Space estimates that each satellite will cover 190 million square kilometers per day, and the multispectral instrument on each satellite records across six channels. With AI and software assistance from Google, the program should filter out false positives. AI is playing a larger role in fighting wildfires around the world — NASA is using its vast trove of Landsat satellite data to build predictive models of where fires are likely to erupt next.

«There are millions of things that can be mistaken for a fire,» said Chris Van Arsdale, Google Research climate and energy lead and chair of the Earth Fire Alliance board of directors. «Looking for fires becomes a game of looking for needles in a world of haystacks.»

It will also be important to prioritize fires that crews can respond to. A June 21, 2025, image of a remote area of Alaska shows a fire that wasn’t observable by ground-based sources.

In this image from Borroloola, Northern Territory, Australia from July 11, 2025, the FireSat satellite identified multiple wildfires spread over a large distance, which would help fire responders coordinate efforts.

The Earth Fire Alliance is currently working with some fire departments and other early adopters to help determine how best to parse the data and communicate with responders.

«What you’re looking at now is raw imagery that is helpful for the technologists, the scientists [and] the remote sensors,» said Kate Dargan Marquis, former California state fire marshall and senior wildfire advisor to the Gordon and Betty Moore Foundation, a main underwriter of the Earth Fire Alliance. «But for firefighters, we’ll build fire data products on this data.» That would include map-based tools with AI underpinnings to help them understand where and how they can make fire response decisions, she noted.

The data will eventually be made available for public resources, such as those used by the consumer app Watch Duty. Brian Collins, executive director of Earth Fire Alliance, explained that the current early adopter program includes pathways to determine how to disseminate the information being collected, be that through local dispatchers or other sources. «A very informed public can make decisions [such as when to prepare to evacuate] in advance of being told,» he said, adding that a public that understands fire is no longer scared of fire.

Although FireSat is still in its first stages and won’t be considered operational until three satellites are in orbit, in 2026, the initial data and imagery looks to be a promising tool for fighting wildfires around the globe.

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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