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The Earth Fire Alliance is aiming for a constellation of high-resolution sensors that can capture the whole globe every 20 minutes.

Wildfires burn tens of millions of acres worldwide every year, and they’re only becoming more destructive.
For the past few decades, satellites operated by the likes of NASA and NOAA have assisted fire crews in detecting and tracking wildfires in even the most remote, difficult-to-monitor landscapes. But helpful as they are, these systems can’t provide real-time, actionable insights. They typically can’t spot fires until they’ve grown to several acres, for instance. They also only provide an image of the same spot every 12 hours at best, and by the time the data reaches the ground, hours — sometimes days — may have passed.
But the nonprofit Earth Fire Alliance says it’s built a far more capable alternative. In the wee hours of Tuesday morning, it launched three minifridge-sized satellites into orbit, the first components of a purpose-built wildfire detection constellation of more than 50 satellites planned to be fully operational by the 2030s. Designed to detect much smaller blazes than existing systems, the network will give first responders earlier warning and more time to contain fires before they spread. FireSat will also provide the broader scientific community with new data on how and why smaller burns grow into destructive wildfires, helping to improve models of fire behavior amidst a changing climate.
“We’ll be able to see fires as small as five by five meters — that’s the size of a shipping container — and be able to see fires at a lower temperature than a lot of the other satellite systems do,” Karen O’Connor, a founding principal at Earth Fire Alliance, told me. Once the full constellation is in orbit, the goal is to use the satellite’s thermal imaging capabilities to provide updates on fires every 20 minutes. “When you think about how that compares with current systems, they might see two to three acres. They might be over the same region maybe once or twice a day,” O’Connor explained.
The initiative has raised $69 million from a coalition of philanthropic backers, including a $26 million grant from the Bezos Earth Fund, over $15 million from Google.org, and support from the Gordon and Betty Moore Foundation, as well as other donors. The alliance’s technical partner, Silicon Valley startup Muon Space, designed and built the satellites. The company validated its tech last March when it launched a prototype satellite into orbit that detected a small fire in Oregon that existing systems missed.
O’Connor told me the team has interviewed hundreds of firefighters, fire agency officials, and fire scientists since the project kicked off six years ago, so that they could design the system to meet their needs. Those features include ultra-high-resolution sensors and an unusually wide field of view — over 930 miles across. Each satellite can quickly scan vast swaths of land, imaging the entire globe in about 12 hours. With more satellites will come greater imaging frequency: The alliance aims to capture an image of any point on Earth at least once an hour by 2029, reaching every 20 minutes by the early 2030s.
Hourly imaging “gets us within operational decision making timeframes,” O’Connor told me. Many fire agencies already receive intelligence updates from weather monitoring stations on this cadence, meaning at this point FireSat data can fit directly into their existing workflows to inform decisions about if, where, and when to deploy crews.
FireSat also provides a much clearer, more detailed view of active fires than standard Earth observation satellites, whose imagery generally lacks the resolution needed to manage fires in real time. Its specialized sensor captures six distinct bands of light — one visible, one near infrared, and four thermal infrared bands — each revealing different characteristics of the fire and its progression.
Visible light provides a baseline view of the landscape, while near infrared wavelengths reveal how vegetation responds to a fire — a stronger near-infrared signal indicates healthy vegetation. Short-wave infrared allows satellites to see through smoke during active fires and identify the areas burning with the most intensity. Mid-wave infrared is FireSat’s most unique and valuable channel for fire detection. Unlike most systems which use a single mid-wave band, FireSat uses two. One is attenuated — essentially tuned down — to allow the sensor to measure extremely hot fires without its gradations becoming saturated. The other is not, allowing the satellite to pick up smaller, lower-intensity blazes.
Long-wave infrared helps detect cooler parts of a fire as well as the temperature of the surrounding landscape, including smoldering areas, burn scars, and changes in ground temperature. This helps researchers better distinguish fire signatures and understand their impacts on smoke and air quality.
The three newly launched satellites will now undergo about three months of testing and calibration before they begin feeding data directly to FireSat’s early adopters, which include Cal Fire in California as well as fire agencies in Colorado, Oregon, Texas, Africa, Australia and Portugal.
“We’ve started with the operational community because we think that they’re the ones that need to be using the data from the beginning,” O’Connor told me. But as FireSat’s data set grows and researchers build a more exact historical record of recent fires, the patterns that emerge should provide valuable scientific insights such as seasonal shifts in fire behavior, how fires spread across different environments, and their impacts on ecosystems, biodiversity, and emissions.
Fire modeling is already evolving quickly these days, as startups and research labs increasingly integrate AI into their wildfire simulation models and risk assessments. Examples include companies like Pano AI and Technosylva, as well as researchers at the USC Viterbi School of Engineering and the University of Buffalo. O’Connor told me she thinks FireSat’s data will help further improve these models. “By having a real-time, regularly updated fire path, they can actually go back in and train those tools again — like this is how the fire actually behaved — so that in the future those types of tools will be better for the operational decision makers.”
FireSat could also help reveal the true global scale of fire activity. Until recently, existing systems couldn’t reliably detect smaller conflagrations, so the historical record has mostly captured only the largest ones. A more complete picture of fire activity will improve carbon emissions accounting and inform better land management practices.
That said, it remains true that not every fire ought to be put out. Fire is a natural — and often essential — ecological cycle that helps landscapes like grasslands, chaparral, and forests stay healthy while clearing dead vegetation that would otherwise accumulate as fuel for more destructive wildfires. O’Connor expects FireSat to play a role here, as well, giving agencies a better way to monitor prescribed burns and naturally occurring fires alike to ensure they deliver their ecological benefits without getting out of hand.
Even so, there are limits to what better detection and more sophisticated modeling can achieve when it comes to reducing the toll of wildfires. As the deadly Los Angeles fires at the beginning of 2025 demonstrated, even blazes caught in their earliest stages can explode under a dangerous combination of high winds and drought — conditions that are becoming increasingly common with climate change. Furthermore, as people continue to build homes and infrastructure along the wildland-urban interface, there are limits to how much technology can protect developments in landscapes that are naturally adapted to burn.
Still, FireSat’s data stands to make a meaningful difference in our ability to respond to an increasingly fire-prone world, though those benefits won’t arrive overnight, of course. These first three satellites will offer an early glimpse of what FireSat can deliver at scale, with the real value of the constellation beginning to emerge by the end of the decade. “Four of the five biggest wildfire years were in the 2020s,” O’Connor told me. “We can’t afford to go any slower than that.”
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My colleague Emily Pontecorvo has a fascinating story today about Net Power, an energy and power development company whose technology once seemed key to decarbonizing the country’s electricity grid.
When Net Power went public in 2023, it was working on a natural gas-burning power plant that would generate little to no emissions in part by using carbon capture and storage. Its invention seemed to have big implications, and not just for the company’s bottom line: Back then, the Environmental Protection Agency was drafting climate rules that would have required new natural gas plants built in the 2030s to capture their carbon dioxide emissions. Net Power’s technology seemed like one of the best available ways to meet that standard.
Cut to 2026, and the world looks different. Thanks to the artificial intelligence boom, electricity demand is surging. But Net Power hasn’t successfully commercialized its proprietary power plant technology. Even if it had, few companies are willing to pay the high premium required by Net Power’s technology, especially when cheaper options are available. And the government certainly isn’t going to require it. Emily’s story reveals what happened next.
When I helped start Heatmap more than three years ago, I never thought I would write this much about data centers. I believed that electricity demand growth was inevitable, sure, and I thought the U.S. power grid had to expand for the country to decarbonize. But I didn’t foresee such a staggering near-term surge in electricity demand. (To be fair, even long-time students of the computing industry’s energy use didn’t see the coming increase, either.)
What I didn’t anticipate — or understand — were two fast-moving trends. The first was that the AI models were responding to scale: the more text or images they consumed, or training they received, or (crucially) computational power they had access to, the better they got. The second was that Wall Street was happy to pay to continue that speedy scale-up. As long as models kept getting better, investors were willing to keep lending or investing more money to the companies making them. Through the power of those two scaling functions, the data center boom became one of the biggest infrastructure buildouts in American history.
In recent days, the second of those trends has started to falter. After a surprisingly hot inflation report last week, and a disclosure on Wednesday evening that Meta has gone free cash flow negative to finance its ongoing AI buildout, stocks with any proximity to AI or data centers stumbled on Wall Street today. The data center developers Coreweave and Vistra were each down about 10%, while Microsoft, Alphabet, and Nvidia all fell in daily trading. Meta’s stock lost almost 7% of its value; GE Vernova, which produces gas turbines, was down 10%.
These declines look more significant when you zoom out. Since late June, a good chunk of the AI portfolio has sagged into the red. Coreweave’s stock is down 54% over the past six months. Alphabet and GE Vernova have also posted declines since the summer. (The trend isn’t uniform: Nvidia and Microsoft are still very much in the green.)
None of this, to be sure, guarantees that the AI boom is ending or even slowing down. But this finance-applied friction is what such a slowdown could look like. Investors aren’t (yet) saying that AI is a business dud, to be clear, just that companies perhaps don’t need to go and construct all this stuff so fast. And given what the data center buildout has meant for energy construction — not to mention greenhouse gas emissions — that’s a trend nobody in climate or energy can ignore.
The zero-emission pioneer is doing the dirty work for the AI boom.
All kinds of companies have refashioned themselves to exploit the AI boom. A bitcoin miner became a data center developer, a shoemaker is building GPUs, and an electric vehicle company is integrating its powertrains into server racks.
Now, a company that once aspired to build one of the lowest-emitting power plants has pivoted to building one of the dirtiest in order to meet data centers’ requirement for speed to power above all. Net Power was founded to pioneer a new form of natural gas power plant with zero emissions, but it has given up on that technology and recently acquired 10 natural gas reciprocating engines that it plans to co-locate with a data center on the site intended for its first commercial plant.
“We believe the clean piece is important,” Net Power CEO Danny Rice said during an August earnings call when he announced the company’s pivot to building unabated natural gas plants. “But just as it’s always been, it will only come at scale once society’s basic energy pillars of reliable, affordable power are fully in place. Power demand is outstripping supply today.”
Net Power’s pivot is a sign not only that the AI boom has eroded market appetite for clean power, but that U.S. policies supporting carbon capture — primarily the 45Q tax credit that President Trump’s One Big Beautiful Bill Act recently expanded — are still not enough to support the technology’s deployment in the power sector.
“The long history of doing CCS in the United States is there isn’t enough public funding to get companies to deploy it at scale,” Jack Andreasen Cavanaugh, a senior research associate at Columbia University’s Center on Global Energy Policy, told me.
This is actually the second major pivot the company has made in less than a year. Last November, Net Power was still testing its proprietary oxy-combustion technology at its demonstration site in La Porte, Texas. The tech was designed to burn natural gas in a chamber with pure oxygen, producing a purer stream of CO2 than when natural gas is burned in regular air. Net Power’s system could recycle some of that CO2 for power generation and capture the rest more efficiently than a conventional gas plant could. The company had not yet demonstrated that the system could generate more energy than it used, however.
By that point, Net Power had determined that its oxy-combustion plants, if they ever even did generate net power, would not be economically competitive anytime soon. In its 2025 Q3 financial report, the company said it had “decided to broaden the scope of its business” and develop more conventional natural gas plants with carbon capture equipment tacked on. It signed a letter of intent with Entropy, a Canadian company building “post-combustion” carbon capture equipment, to bring the tech to the United States, and ordered two 30-megawatt Siemens natural gas turbines for 2028 delivery.
“For us and everyone else in the power and data center space these days, speed is everything,” Rice said at the time. “We believe gas turbines with [post-combustion capture] can and should be the fastest-to-market and most cost-competitive clean, firm solution for our prospective customers.”
He told investors that rising costs were one of the setbacks Net Power faced in building its first-of-a-kind oxy-combustion plant. It was highly unlikely the company could finance and build a $1.7 billion, 200-megawatt plant before completing all its testing, he said. The best-case scenario for the plant to come online was 2030 or 2031, and costs might keep rising with inflation. The company could either bet on that prospect and keep bleeding cash, or “slow down that spending in order to free up some of our resources for near-term accretive opportunities.” As a public company with shareholders to answer to, there was really only one choice.
By the end of 2025, Net Power decided to suspend its oxy-combustion development and testing activities altogether, according to its year-end SEC filing.
Six months later, the company’s thesis changed again. Gas turbines with post-combustion capture, it turned out, were not the “fastest-to-market and most cost-competitive” solutions that the company had hoped they’d be. Whereas once upon a time, electricity buyers considered a range of factors when shopping around for power, including carbon emissions, the reality was that they were now only looking for three qualities: speed, reliability, and scale. “Natural gas power generation, co-located with customer load, and deployable on a fast timeline, is how we expect to meet that demand today,” Rice told investors, adding that the company hoped to add carbon capture to its projects in the future.
To date, only one proposed U.S. natural gas plant with carbon capture has announced a deal to sell its prospective power. In October 2025, Google signed a power purchase agreement with the Broadwing Energy Center, an Illinois plant under development by a company called Low Carbon Infrastructure.
“There is a massive demand for unabated gas right now, and there is much less of a demand for carbon capture,” Cavanaugh said. He told me there are still lots of conversations happening between hyperscalers and carbon capture companies, but the physical realities and costs of capturing, transporting, and storing carbon from natural gas plants remain obstacles.
The Global CCS Institute published its annual Global Status of CCS report this week, which found more than 266 carbon capture, transport, or storage projects are under development in the U.S., but permitting delays and policy uncertainty are stalling their progress. “Inflation and rising capital costs have weakened project economics, reducing the effectiveness of existing policies, such as tax and investment credits,” the report said.
That doesn’t mean there aren’t still companies trying. Net Power may have given up on oxy-combustion power plants for now, but Arbor Energy, a startup founded by former SpaceX engineers, is just ramping up. Arbor announced a milestone in the development of its own oxy-combustion power generator last week, running a key piece of its system — a supercritical CO2 turbocompressor — for more than two hours at high speeds.
Arbor differentiates itself by using 3D-printed turbines and developing smaller, more modular plants. It’s scaling more incrementally than Net Power tried to, starting with a 1-megawatt demonstration plant in California that is “weeks away” from operating, the company’s Chief Operating Officer Alicia Harmon told me — although the project won’t include carbon storage. It plans to build a 25-megawatt demonstration plant by 2028, also sans storage, before manufacturing commercial-scale systems.
Arbor actually went through a pivot of its own due to the data center boom. The founders originally planned to focus on bioenergy with carbon removal, using the oxy-combustion technology to generate power from biomass and storing the resulting CO2 underground. Over time, though, it became clear that demand for power outpaced demand for carbon removal, and natural gas was more abundant than biomass.
I asked Harmon whether the company thought there was market demand for carbon-capture gas plants. Is anyone willing to pay that green premium right now? “Honestly, my answer is no,” she said, but the company sees a path to erasing the green premium by the early 2030s. She added that Arbor’s technology is already “very close” to parity with combined-cycle natural gas plants when the 45Q tax credit is taken into account.
Last month, Net Power announced it had acquired 123 megawatts’ worth of Wärtsilä reciprocating engines, in addition to the Siemens turbines it had already ordered. Reciprocating engines are among the dirtiest natural gas power-generation technologies. A recent report from Earthjustice estimated that a 1-gigawatt plant powered by reciprocating engines would emit 1.5 times as much CO2 per year as one powered by the “combined cycle” technology most modern plants use, and twice as much nitrogen oxides and fine particulate matter. It has not yet disclosed any data center partners to sell the power to.
Net Power declined to comment on this story.
Ben Allen wants to reform the existing market. Jane Kim wants a revolution.
From Crescent City to Coronado, California voters are facing decisions on a down-ballot strewn with over a dozen propositions and a series of statewide Democrat-versus-Republican races with mostly foregone conclusions.
And then there’s the insurance commissioner.
In the race to oversee California’s insurance market, a $452 billion-in-premium-volume monster imperiled by insurer defections and disaster risks, Democratic State Senator Ben Allen, whose district includes Pacific Palisades, is facing off against Jane Kim, a progressive former San Francisco supervisor.
Kim has the support of Vermont Senator Bernie Sanders — it’s the first thing you see about her when you Google her campaign. She previously served as his California political director during the 2020 presidential race, and she appeared earlier this month at an event with the senator in support of the state’s proposed billionaire wealth tax.
Allen, by contrast, won the endorsement of the state’s Democratic Party and its two incumbent senators.
There has been little public polling of the race, but one September survey showed Kim leading Allen 25% to 18%, with more than half the electorate undecided.
“My opponent and I are not even running for the same office,” Kim told me. “He’s running for what this office used to be, and I’m running for what this office could be.”
Allen wasn’t worried about Kim’s characterization in my interview with him, telling me, “I want to fix the market that we have and make it work. My opponent wants to build a new state insurer that nobody has priced.”
Nowhere are the stakes of insurance regulation higher than in California. On its own, the state’s insurance market would be the third largest in the world, according to the National Association of Insurance Commissioners. Homeowner insurance premiums have risen 84% from the end of 2020 to March 2026, according to research from Stanford’s Climate and Energy Policy Program. Several large insurers have either left the market entirely or stopped writing new policies.
California’s creaky and complex regulatory environment for insurers has combined with its famously flammable environment (all beset by a warming climate) to put regular policyholders at risk of losing their policies or bailing out those who can’t get covered. “Climate risks grow, and our mechanisms for dealing with it lag behind,” Matt Weiner, the chief executive of the wildfire policy group Megafire Action, told me. (Weiner said he was supporting Allen in his personal capacity).
Rates for homes insured by the FAIR Plan, the barebones insurer of last resort, have more than doubled from about 2% to 5% over that same period, with FAIR Plan coverage spreading from just high-risk areas to even areas with low and moderate wildfire risk. The plan required a $1 billion assessment from the state’s insurers in 2025 following major Southern California fires. “This trend is a symptom of many homeowners’ inability to secure insurance in the conventional market,” according to the Stanford researchers.
Allen seeks to make the insurance market work better, building on reforms implemented by current Insurance Commissioner Ricardo Lara. Allen described the reforms, which encourage insurers to write policies in high-risk areas and allow them to use forward-looking projections, as a “bit of a band-aid” that doesn’t “actually get to the core of the problem, which is making these communities less risky.”
Allen’s plan for the California insurance market involves both reviewing rate proposals more quickly, incorporating more data into those rates (which may push rates up, but also keep insurers in the market), and mobilizing the whole of government to invest in home hardening and resilience to lower risk and bring premiums down. Allen wants to, well, insure “that risk reduction is actually incentivized and rewarded by the insurance market,” he told me.
This would mean that “there will continue to be certain properties that are going to be so high risk that they really will and ought to be paying significantly more than everybody else,” he added.
When I asked him to elaborate on his vision for California’s insurance future, he told me, “My hope is that when a family and a neighborhood commit to hardening defensible space and community-scale mitigation, that should show up on the bill.”
Jane Kim, on the other hand, is interested in an insurance revolution, which would require — as her most famous supporter might put it — a political revolution as well. Her centerpiece proposal will be familiar from anyone who has followed Sanders’ career: a single-payer disaster insurer.
The plan, which she told me was a “concept and a proposal,” would be funded by a levy placed on insurers, and then a public insurer would invest in the market, buy reinsurance, and pay out claims. (Her opponents have criticized her for not being forthcoming enough with details). She says her plan would not be able to cover a Palisades- or Altadena-level fire in its first year, “but no insurance company can cover a catastrophe of that level.”
The nonprofit nature of the program, she adds, would let the state fund mitigation work directly. While such a program would require legislative action, “the great thing about campaigns is that this is trying to debate big ideas with voters,” Kim said.
In response, Allen cited a report from the California Earthquake Authority, which modeled a state disaster insurer (albeit not Kim’s plan specifically) could require $25 billion in capitalization. A more thinly capitalized insurer could mean $2,000 assessments on every policyholder in the state to cover an extreme wildfire disaster, the report said. “That’s the honest price of what she’s proposing,” Allen said.
“I also have a plan that’s actually grounded in reality and fixing the problems right now. It's not based on some pie-in-the-sky set of ideas that have no precedent, that have no real meat on the bones,” Allen told me.
One of Allen and Kim’s former opponents, Patrick Wolff, who fell short in the top-two primary election in June, told me that “the charitable interpretation of Kim’s platform is she does not think the current system can be made to work, and so she essentially wants to redesign and reimagine the entire system.” (Wolff has endorsed Allen). But, he added, “she’s coming at it from a set of solutions that were baked-in before she started, and then she's fitting [those] into her campaign.”
Moira Birss, a senior fellow at the Climate and Community Institute who said she had “provided input” to Kim’s campaign, but wasn’t speaking on its behalf, told me she “really recognizes that we are yet again in a situation where the private insurance market is not responding to a need that we as communities and as society have for this financial safety net of disaster insurance, and that we need a public approach.” She said the plan would build on lessons learned from New Zealand, which has public natural disaster insurance funded through a levy on fire insurance, and from the National Flood Insurance Program and the FAIR Plan.
Kim is happy to embrace the more ideologically charged vision of her campaign, telling me, “I am talking about transforming this office to be a place where we are leading on, and taking on, economic inequity, a wealth gap, and the climate crisis.
“I don’t even view my opponent as Ben Allen — I’m not running against Ben Allen,” she went on. “I’m running against the status quo.”