FireSat represents the first satellite constellation purpose-built for detecting wildfires, including spotting smaller fires that other satellites may miss. The satellites were designed by California-based satellite manufacturer Muon Space and have received over $15 million from Google to support initial deployment. Other notable financial supporters include the Bezos Earth Fund that committed $26 million. Each satellite is equipped with multispectral imaging that can peer through smoke and clouds and detect fires as small as five by five meters — about 16 by 16 feet. That capability was proven by a FireSat Protoflight satellite that launched in March 2025 and collected more than one million images, while showing it could detect low-intensity blazes invisible to existing satellites.
The “early adopter” organizations that will start using FireSat data this year include fire agencies in California, Colorado, Australia, and Portugal. As more satellites launch, the FireSat program aims to provide the latest imagery anywhere in the world on an hourly basis by 2029. Such imagery would eventually become available every 20 minutes once the full constellation of more than 50 satellites is launched by the early 2030s. Detection of small wildfires before they burn out of control could prove extremely helpful. The Earth Fire Alliance has projected that even an hourly revisit rate by the FireSat constellation could help save more than $1 billion in fire damage costs and prevent nearly 22 million tons of carbon emissions, along with protecting 3,500 homes and 1.3 million acres of land.
To assist with that capability, Google Research plans to use the company’s AI models to compare operational FireSat data with historical images in order to accurately identify very small fires and to inform predictive modeling of wildfires. Google celebrated the launch of the first operational FireSat satellites by describing the event as “another tangible step forward in putting practical AI to work for climate resilience.”