CAL FIRE has tested autonomous firefighting drones in California, while XPRIZE finalists demonstrated their technology in Alaska, aiming to improve wildfire response times and effectiveness.
Wildfires can escalate rapidly, often outpacing the response of firefighters. A small ignition in remote areas can grow into a significant blaze before crews can reach it. To combat this challenge, a new generation of AI-powered firefighting drones is being developed to help reduce response times.
Recently, CAL FIRE conducted tests of Seneca’s autonomous suppression drones in California. Concurrently, teams participating in the $11 million XPRIZE Wildfire competition faced field challenges in Alaska, testing various autonomous systems designed to detect and suppress fires at their earliest stages.
The urgency of early detection is underscored by research from NOAA, which indicates that human-induced climate change is contributing to larger and more severe wildfires in California and the western United States. Additionally, warming conditions are linked to extended wildfire seasons in the region.
On July 15, CAL FIRE collaborated with the nonprofit FireWERX and engineers from Seneca to conduct a field test involving five autonomous firefighting drones. CAL FIRE Deputy Chief Jack Worden emphasized the potential of this technology to assist firefighters who typically rely on backpack pumps and hand tools to combat small vegetation fires.
Seneca’s drones are designed to respond quickly once a potential fire is identified. The drones utilize onboard sensors, AI, and computer vision to locate fires and deliver aerated Class A foam to targeted areas. According to Seneca, their system employs four to six drones, capable of delivering between 500 and 1,000 pounds of suppression capacity per trip.
However, it is essential to clarify the payload figures associated with these drones. Reports from the CAL FIRE demonstration focused on the amount of water carried by individual drones and the volume of foam produced after mixing. Seneca’s product page describes suppression capacity by weight, while their Aspen deployment materials utilize finished foam volume as a measure. These figures should not be considered interchangeable.
While Seneca’s drones may not match the payload capacity of large airtankers, CAL FIRE operates over 70 fixed-wing and rotary-wing aircraft that can reach many remote fires within approximately 20 minutes. Smaller drones, like those from Seneca, are intended for different applications, including early attack, nighttime operations, and operations in challenging terrain, which can be crucial when fires ignite in areas that ground crews cannot access quickly.
In December 2025, San Bernardino County Fire tested an earlier version of Seneca’s Argo-1 system, which was described as semi-autonomous. This system utilized thermal tracking for precise targeting in early wildfire response. It is important to note that while these drones can autonomously handle significant portions of flight and targeting, they still operate under human supervision. For the planned Aspen deployment, a single pilot will oversee multiple aircraft.
In Alaska, a different firefighting system faced its own challenges during the XPRIZE finals testing near Nenana in June 2026. Three finalist teams were tasked with using autonomous technology to detect and suppress early-stage fires without human intervention. Judges evaluated their performance based on speed, accuracy, and suppression effectiveness.
One of the finalists, German company Dryad Networks, combines its Silvanet detection network with a drone system called Silvaguard. Silvanet employs solar-powered environmental sensors placed in forests to monitor combustion gases and particulates associated with the initial stages of a fire. These sensors communicate through Dryad’s network, allowing for an automated response when a potential ignition is detected.
Once Silvanet identifies a possible fire, a Silvaguard observation drone can launch automatically. This drone employs infrared and optical imaging to locate the source and confirm whether a fire is present. A separate suppression drone can then respond to the verified location, carrying up to 100 liters of fire suppressant, equivalent to about 26 gallons. In a demonstration in November 2025, Dryad’s system successfully detected a controlled fire and extinguished it in under 12 minutes without human involvement.
During the XPRIZE finals in Alaska, Dryad reported that its sensors detected a small fire, triggering an autonomous response from the Silvaguard system, which then located and suppressed the fire.
While controlled tests demonstrate the potential of these technologies, real-world fire operations will present more significant challenges. The Aspen Fire Protection District in Colorado has already signed a multimillion-dollar, five-year agreement with Seneca, which includes a five-aircraft Seneca Strike Team and a mobile operations base. Seneca claims that this system can deliver approximately 500 gallons of finished foam per sortie, with one pilot able to oversee multiple aircraft due to the system’s autonomous features. The delivery of this system is expected in the summer of 2026, marking a significant step from demonstration to real-world deployment. Aspen firefighters will also receive training on the aircraft before integrating them into their operations.
Firefighting drones could eventually complement existing technology used in California for early detection. CAL FIRE collaborates with UC San Diego’s ALERTCalifornia program, which operated over 1,200 cameras and sensor arrays as of February 2026. This program reported detecting more than 1,200 fires during its first season, often beating the first 911 report by over 30% of the time.
Additionally, Google’s FireSat project, which employs specialized satellites and AI to identify wildfires earlier, has made significant progress. The Earth Fire Alliance launched its first three operational FireSat satellites on July 7, 2026, with operational data expected to reach early adopters at least twice daily during the fourth quarter of 2026.
Ultimately, systems like FireSat and ALERTCalifornia could help detect ignitions, allowing nearby drones to provide a rapid response. While the technology is still developing, it illustrates the potential future of wildfire management.
For residents in wildfire-prone areas, these drones may offer local fire agencies an additional tool for responding to fires in their earliest stages. However, it is important to recognize their limitations. The payloads of these drones are significantly smaller than those of larger firefighting aircraft, and their performance is influenced by weather, terrain, and coordination with other aircraft.
As autonomous firefighting technology transitions from demonstrations to operational use, it remains crucial to rely on official emergency alerts and evacuation instructions. Residents should also be prepared to leave their neighborhoods quickly if conditions change, ensuring that important documents are easily accessible.
The promise of these drones lies in their ability to respond quickly to remote ignitions while they are still small. If they can effectively slow the spread of a new fire until additional resources arrive, firefighters may gain a critical advantage. However, the true test will come when these drones face unpredictable conditions in real fire scenarios. Clear procedures for coordinating autonomous systems with existing firefighting personnel will be essential to fully realize the value of this technology.
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