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pen Cosmos has successfully launched Phisat-2 (Φsat2)– a 6U CubeSat designed to showcase the power and potential of in-orbit AI for observing Earth. The launch took place at Vandenberg Space Force Base in California onboard SpaceX's Falcon 9 as part of the Transporter-11 mission.
The tiny Phisat-2 satellite combines a multispectral camera with a powerful computer that allows AI apps to run onboard, via the NanoSat MO Framework (NMF). This framework has been developed specifically for small satellites and allows the apps to be installed, updated and operated remotely from Earth.
AI has already proved invaluable for helping scientists, policymakers and operators analyse terabytes of satellite data. Yet while most of this AI processing takes place on the ground, after the data has been downloaded, the Phisat-2 mission allows it to happen directly at source. Instead of downlinking reams of raw data, the onboard apps can process and transmit only the most essential information back to Earth, giving tangible benefits in data transmission efficiency and resulting in faster decision-making.
This will prove critical for disaster response efforts, maritime monitoring, environmental protection, cloud detection and more.
At launch, Phisat-2 is running four AI apps including:
- Sat2Map: Developed by CGI, Sat2Map sends critical data to response teams during emergencies and disasters such as floods and earthquakes. It uses real-time satellite imagery to create maps of affected areas for use by teams on the ground.
- Cloud Detection: Developed by KP Labs, this app detects, identifies and classifies clouds to give real-time insights into cloud distribution. This helps users know when and where to gather satellite imagery, making the images more efficient and useful.
- Vessel Detection: This app, developed by CEiiA, uses machine learning to detect and classify vessels based on Phisat-2 multispectral images for real-time maritime monitoring.
- Deep Image Compression: Developed by GEO-K, this app compresses the images captured on board for more efficient transmission to Earth.
Two more apps are to be uploaded now the satellite is in orbit. These include:
- Anomalies in Marine Ecosystems: IRT Saint Exupéry Technical Research’s app uses machine learning to scan satellite imagery and spot anomalies in marine ecosystems, with trials showing success in characterising oil spills, algal blooms and sediment flooding.
- PhiFire AI: This wildfire detection app, from Thales Alenia Space, sends early-warning signs to response teams with a classification report that identifies not only the fire itself but also nearby safe, burnt and water areas.
The launch doesn’t just set a new standard in space-based AI technology by enabling real-time, onboard data analysis for the first time, it’s also a testament to Open Cosmos' dedication to making space data accessible and actionable. Founded in 2015, Open Cosmos has grown into a leading space technology company, known for its innovative solutions that lower the barriers to space access. By providing end-to-end mission management, Open Cosmos makes sure organisations like ESA and companies worldwide can use satellite data to tackle global challenges effectively and sustainably.
Jacob Bullard, Mission Manager in Operations at Open Cosmos, said: “The launch of Phisat-2 is a game changer for Earth observation. With its advanced AI applications and real-time data processing capabilities, Phisat-2 will provide invaluable insights for disaster response, maritime monitoring and environmental protection. This mission exemplifies our commitment to pushing the boundaries of space technology and delivering impactful solutions.”
Nicola Melega ESA’s Φsat-2 Technical Officer said: “The successful launch of Phisat-2 once again showcases the power of collaboration between ESA and innovative companies like Open Cosmos. This mission highlights how advanced AI technology can transform our ability to monitor and respond to changes on Earth, making space data more actionable and impactful than ever before.”
