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Ciseres: AI-powered satellites for rapid disaster response
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Cloud cover can keep optical instruments on satellites from clearly capturing Earth’s surface. Still in testing, JPL’s Dynamic Targeting uses AI to avoid imaging clouds, yielding a higher proportion of usable data, and to focus on phenomena like this 2015 volcanic eruption in Indonesia Landsat 8 captured.NASA/USGS A technology called Dynamic Targeting could enable spacecraft to decide, autonomously and within seconds, where to best make science observations from orbit.
In a recent test, NASA showed how artificial intelligence-based technology could help orbiting spacecraft provide more targeted and valuable science data. The technology enabled an Earth-observing satellite for the first time to look ahead along its orbital path, rapidly process and analyze imagery with onboard AI, and determine where to point an instrument. The whole process took less than 90 seconds, without any human involvement.
Called Dynamic Targeting, the concept has been in development for more than a decade at NASA’s Jet Propulsion Laboratory in Southern California. The first of a series of flight tests occurred aboard a commercial satellite in mid-July. The goal: to show the potential of Dynamic Targeting to enable orbiters to improve ground imaging by avoiding clouds and also to autonomously hunt for specific, short-lived phenomena like wildfires, volcanic eruptions, and rare storms.
This graphic shows how JPL’s Dynamic Targeting uses a lookahead sensor to see what’s on a satellite’s upcoming path. Onboard algorithms process the sensor’s data, identifying clouds to avoid and targets of interest for closer observation as the satellite passes overhead.NASA/JPL-Caltech “The idea is to make the spacecraft act more like a human: Instead of just seeing data, it’s thinking about what the data shows and how to respond,” says Steve Chien, a technical fellow in AI at JPL and principal investigator for the Dynamic Targeting project. “When a human sees a picture of trees burning, they understand it may indicate a forest fire, not just a collection of red and orange pixels. We’re trying to make the spacecraft have the ability to say, ‘That’s a fire,’ and then focus its sensors on the fire.”
Avoiding Clouds for Better Science
This first flight test for Dynamic Targeting wasn’t hunting specific phenomena like fires — that will come later. Instead, the point was avoiding an omnipresent phenomenon: clouds.
Most science instruments on orbiting spacecraft look down at whatever is beneath them. However, for Earth-observing satellites with optical sensors, clouds can get in the way as much as two-thirds of the time, blocking views of the surface. To overcome this, Dynamic Targeting looks 300 miles (500 kilometers) ahead and has the ability to distinguish between clouds and clear sky. If the scene is clear, the spacecraft images the surface when passing overhead. If it’s cloudy, the spacecraft cancels the imaging activity to save data storage for another target.
“If you can be smart about what you’re taking pictures of, then you only image the ground and skip the clouds. That way, you’re not storing, processing, and downloading all this imagery researchers really can’t use,” said Ben Smith of JPL, an associate with NASA’s Earth Science Technology Office, which funds the Dynamic Targeting work. “This technology will help scientists get a much higher proportion of usable data.”
How Dynamic Targeting Works
The testing is taking place on CogniSAT-6, a briefcase-size CubeSat that launched in March 2024. The satellite — designed, built, and operated by Open Cosmos — hosts a payload designed and developed by Ubotica featuring a commercially available AI processor. While working with Ubotica in 2022, Chien’s team conducted tests aboard the International Space Station running algorithms similar to those in Dynamic Targeting on the same type of processor. The results showed the combination could work for space-based remote sensing.
Since CogniSAT-6 lacks an imager dedicated to looking ahead, the spacecraft tilts forward 40 to 50 degrees to point its optical sensor, a camera that sees both visible and near-infrared light. Once look-ahead imagery has been acquired, Dynamic Targeting’s advanced algorithm, trained to identify clouds, analyzes it. Based on that analysis, the Dynamic Targeting planning software determines where to point the sensor for cloud-free views. Meanwhile, the satellite tilts back toward nadir (looking directly below the spacecraft) and snaps the planned imagery, capturing only the ground.
This all takes place in 60 to 90 seconds, depending on the original look-ahead angle, as the spacecraft speeds in low Earth orbit at nearly 17,000 mph (7.5 kilometers per second).
What’s Next
With the cloud-avoidance capability now proven, the next test will be hunting for storms and severe weather — essentially targeting clouds instead of avoiding them. Another test will be to search for thermal anomalies like wildfires and volcanic eruptions. The JPL team developed unique algorithms for each application.
“This initial deployment of Dynamic Targeting is a hugely important step,” Chien said. “The end goal is operational use on a science mission, making for a very agile instrument taking novel measurements.”
There are multiple visions for how that could happen — possibly even on spacecraft exploring the solar system. In fact, Chien and his JPL colleagues drew some inspiration for their Dynamic Targeting work from another project they had also worked on: using data from ESA’s (the European Space Agency’s) Rosetta orbiter to demonstrate the feasibility of autonomously detecting and imaging plumes emitted by comet 67P/Churyumov-Gerasimenko.
On Earth, adapting Dynamic Targeting for use with radar could allow scientists to study dangerous extreme winter weather events called deep convective ice storms, which are too rare and short-lived to closely observe with existing technologies. Specialized algorithms would identify these dense storm formations with a satellite’s look-ahead instrument. Then a powerful, focused radar would pivot to keep the ice clouds in view, “staring” at them as the spacecraft speeds by overhead and gathers a bounty of data over six to eight minutes.
Some ideas involve using Dynamic Targeting on multiple spacecraft: The results of onboard image analysis from a leading satellite could be rapidly communicated to a trailing satellite, which could be tasked with targeting specific phenomena. The data could even be fed to a constellation of dozens of orbiting spacecraft. Chien is leading a test of that concept, called Federated Autonomous MEasurement, beginning later this year.
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Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
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Last Updated Jul 24, 2025 Related Terms
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By Space Force
Gen. Mike Guetlein, Vice Chief of Space Operations, visits Kirtland Air Force Base, signaling the base’s growing importance in space innovation, research and national defense.
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By NASA
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Getty Images NASA has selected two more university student teams to help address real-world aviation challenges, through projects aimed at using drones for hurricane relief and improved protection of air traffic systems from cyber threats.
The research awards were made through NASA’s University Student Research Challenge (USRC), which provides student-led teams with opportunities to contribute their novel ideas to advance NASA’s Aeronautics research priorities.
As part of USRC, students participate in real-world aspects of innovative aeronautics research both in and out of the laboratory.
“USRC continues to be a way for students to push the boundary on exploring the possibilities of tomorrow’s aviation industry.” said Steven Holz, who manages the USRC award process. “For some, this is their first opportunity to engage with NASA. For others, they may be taking their ideas from our Gateways to Blue Skies competition and bringing them closer to reality.”
In the case of one of the new awardees, North Carolina State University in Raleigh applied for their USRC award after refining a concept that made them a finalist in NASA’s 2024 Gateways to Blue Skies competition.
Each team of students selected for a USRC award receives a NASA grant up to $80,000 and is tasked with raising additional funds through student-led crowdfunding. This process helps students develop skills in entrepreneurship and public communication.
The new university teams and research topics are:
North Carolina State University in Raleigh
“Reconnaissance and Emergency Aircraft for Critical Hurricane Relief” will develop and deploy advanced Unmanned Aircraft Systems (UAS) designed to locate, communicate with, and deliver critical supplies to stranded individuals in the wake of natural disasters.
The team includes Tobias Hullette (team lead), Jose Vizcarrondo, Rishi Ghosh, Caleb Gobel, Lucas Nicol, Ajay Pandya, Paul Randolph, and Hadie Sabbah, with faculty mentor Felix Ewere.
Texas A&M University, in College Station
“Context-Aware Cybersecurity for UAS Traffic Management” will develop, test, and pursue the implementation of an aviation-context-aware network authentication system for the holistic management of cybersecurity threats to enable future drone traffic control systems.
The team includes Vishwam Raval (team lead), Nick Truong, Oscar Leon, Kevin Lei, Garett Haynes, Michael Ades, Sarah Lee, and Aidan Spira, with faculty mentor Sandip Roy.
Complete details on USRC awardees and solicitations, such as what to include in a proposal and how to submit it, are available on the NASA Aeronautics Research Mission Directorate solicitation page.
About the Author
John Gould
Aeronautics Research Mission DirectorateJohn Gould is a member of NASA Aeronautics' Strategic Communications team at NASA Headquarters in Washington, DC. He is dedicated to public service and NASA’s leading role in scientific exploration. Prior to working for NASA Aeronautics, he was a spaceflight historian and writer, having a lifelong passion for space and aviation.
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Last Updated May 15, 2025 EditorJim BankeContactSteven Holzsteven.m.holz@nasa.gov Related Terms
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By USH
Let’s talk about Artificial Intelligence! How many people are actually aware of the rapid rise of AI and the potential risks it poses to humanity’s future? Do you recognize these dangers, or do you choose to ignore them, turning a blind eye to the reality of AI’s impact?
An increasing number of people are becoming aware of AI's rapid rise, yet many still unknowingly rely on AI-powered technologies. Studies show that while nearly all Americans use AI-integrated products, 64% remain unaware of it.
AI adoption is expanding, by 2023, 55% of organizations had implemented AI technologies, and nearly 77% of devices incorporated AI in some form. Despite this prevalence, only 17% of adults can consistently recognize when they are using AI.
With growing awareness comes rising concern. Many fear job displacement, while others worry about AI’s long-term risks. A survey found that 29% of respondents see advanced AI as a potential existential threat, and 20% believe it could cause societal collapse within 50 years.
A June 2024 a study across 32 countries revealed that 50% of people feel uneasy about AI. As AI continues to evolve, how many truly grasp its impact—and the risks it may pose for humanity’s future?
Now, a new paper highlights the risks of artificial general intelligence (AGI), arguing that the ongoing AI race is pushing the world toward mass unemployment, geopolitical conflict, and possibly even human extinction. The core issue, according to researchers, is the pursuit of power. Tech firms see AGI as an opportunity to replace human labor, tapping into a potential $100 trillion economic output. Meanwhile, governments view AGI as a transformative military tool.
Researchers in China have already developed a robot controlled by human brain cells grown in a lab, dubbed a "brain-on-chip" system. The brain organoid is connected to the robot through a brain-computer interface, enabling it to encode and decode information and control the robotic movements. By merging biological and artificial systems, this technology could pave the way for developing hybrid human-robot intelligence.
However, experts warn that superintelligence, once achieved, will be beyond human control.
The Inevitable Risks of AGI Development. 1. Mass Unemployment – AGI would fully replace cognitive and physical labor, displacing workers rather than augmenting their capabilities.2. Military Escalation – AI-driven weapons and autonomous systems increase the likelihood of catastrophic conflict.3. Loss of Control – Superintelligent AI will develop self-improvement capabilities beyond human comprehension, rendering control impossible.4. Deception and Self-Preservation – Advanced AI systems are already showing tendencies to deceive human evaluators and resist shutdown attempts.
Experts predict that AGI could arrive within 2–6 years. Empirical evidence shows that AI systems are advancing rapidly due to scaling laws in computational power. Once AGI surpasses human capabilities, it will exponentially accelerate its own development, potentially leading to superintelligence. This progression could make AI decision-making more sophisticated, faster, and far beyond human intervention.
The paper emphasizes that the race for AGI is occurring amidst high geopolitical tensions. Nations and corporations are investing hundreds of billions in AI development. Some experts warn that a unilateral breakthrough in AGI could trigger global instability—either through direct military applications or by provoking adversaries to escalate their own AI efforts, potentially leading to preemptive strikes.
If AI development continues unchecked, experts warn that humanity will eventually lose control. The transition from AGI to superintelligence would be akin to humans trying to manage an advanced alien civilization. Super intelligent AI could take over decision-making, gradually making humans obsolete. Even if AI does not actively seek harm, its vast intelligence and control over resources could make human intervention impossible.
Conclusion: The paper stresses that AI development should not be left solely in the hands of tech CEOs who acknowledge a 10–25% risk of human extinction yet continue their research. Without global cooperation, regulatory oversight, and a shift in AI development priorities, the world may be heading toward an irreversible crisis. Humanity must act now to ensure that AI serves as a tool for progress rather than a catalyst for destruction.
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By European Space Agency
The European Space Agency (ESA) and the International Committee of the Red Cross (ICRC) have signed a Memorandum of Intent (MoI) to harness space technology for humanitarian assistance worldwide. The partnership will combine ESA's space expertise with ICRC's humanitarian reach to develop space-enabled solutions that can help protect and assist communities affected by disasters and conflicts across Europe and beyond.
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