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By Space Force
Space Systems Command has activated two new System Deltas within the mission area of the Space Force Program Executive Officer for Space Sensing.
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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.
How AI supports Mars rover science Autonomous robot fleet could measure ice shelf melt Ocean world robot swarm prototype gets a swim test News Media Contact
Melissa Pamer
Jet Propulsion Laboratory, Pasadena, Calif.
626-314-4928
melissa.pamer@jpl.nasa.gov
2025-094
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Last Updated Jul 24, 2025 Related Terms
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By Space Force
The U.S. Space Force’s Space Operations Command accepted a modernized operating system for Global Positioning System, which is designed to maintain resiliency of the constellation and improve positioning, navigation and timing services to meet user demand now and in the future.
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By NASA
A NASA-sponsored team is creating a new approach to measure magnetic fields by developing a new system that can both take scientific measurements and provide spacecraft attitude control functions. This new system is small, lightweight, and can be accommodated onboard the spacecraft, eliminating the need for the boom structure that is typically required to measure Earth’s magnetic field, thus allowing smaller, lower-cost spacecraft to take these measurements. In fact, this new system could not only enable small spacecraft to measure the magnetic field, it could replace the standard attitude control systems in future spacecraft that orbit Earth, allowing them to provide the important global measurements that enable us to understand how Earth’s magnetic field protects us from dangerous solar particles.
Photo of the aurora (taken in Alaska) showing small scale features that are often present. Credit: NASA/Sebastian Saarloos
Solar storms drive space weather that threatens our many assets in space and can also disrupt Earth’s upper atmosphere impacting our communications and power grids. Thankfully, the Earth’s magnetic field protects us and funnels much of that energy into the north and south poles creating aurorae. The aurorae are a beautiful display of the electromagnetic energy and currents that flow throughout the Earth’s space environment. They often have small-scale magnetic features that affect the total energy flowing through the system. Observing these small features requires multiple simultaneous observations over a broad range of spatial and temporal scales, which can be accomplished by constellations of small spacecraft.
To enable such constellations, NASA is developing an innovative hybrid magnetometer that makes both direct current (DC) and alternating current (AC) magnetic measurements and is embedded in the spacecraft’s attitude determination and control system (ADCS)—the system that enables the satellite to know and control where it is pointing. High-performance, low SWAP+C (low-size, weight and power + cost) instruments are required, as is the ability to manufacture and test large numbers of these instruments within a typical flight build schedule. Future commercial or scientific satellites could use these small, lightweight embedded hybrid magnetometers to take the types of measurements that will expand our understanding of space weather and how Earth’s magnetic field responds to solar storms
It is typically not possible to take research-quality DC and AC magnetic measurements using sensors within an ADCS since the ADCS is inside the spacecraft and near contaminating sources of magnetic noise such as magnetic torque rods—the electromagnets that generate a magnetic field and push against the Earth’s magnetic field to control the orientation of a spacecraft. Previous missions that have flown both DC and AC magnetometers placed them on long booms pointing in opposite directions from the satellite to keep the sensors as far from the spacecraft and each other as possible. In addition, the typical magnetometer used by an ADCS to measure the orientation of the spacecraft with respect to the geomagnetic field does not sample fast enough to measure the high-frequency signals needed to make magnetic field observations.
A NASA-sponsored team at the University of Michigan is developing a new hybrid magnetometer and attitude determination and control system (HyMag-ADCS) that is a low-SWAP single package that can be integrated into a spacecraft without booms. HyMag-ADCS consists of a three-axis search coil AC magnetometer and a three-axis Quad-Mag DC magnetometer. The Quad-Mag DC magnetometer uses machine learning to enable boomless DC magnetometery, and the hybrid search-coil AC magnetometer includes attitude determination torque rods to enable the single 1U volume (103 cm) system to perform ADCS functions as well as collect science measurements.
The magnetic torque rod and search coil sensor (left) and the Quad-Mag magnetometer prototype (right). Credit: Mark Moldwin The HyMag-ADCS team is incorporating the following technologies into the system to ensure success.
Quad-Mag Hardware: The Quad-Mag DC magnetometer consists of four magneto-inductive magnetometers and a space-qualified micro-controller mounted on a single CubeSat form factor (10 x 10 cm) printed circuit board. These two types of devices are commercially available. Combining multiple sensors on a single board increases the instrument’s sensitivity by a factor of two compared to using a single sensor. In addition, the distributed sensors enable noise identification on small satellites, providing the science-grade magnetometer sensing that is key for both magnetic field measurements and attitude determination. The same type of magnetometer is part of the NASA Artemis Lunar Gateway Heliophysics Environmental and Radiation Measurement Experiment Suite (HERMES) Noisy Environment Magnetometer in a Small Integrated System (NEMISIS) magnetometer scheduled for launch in early 2027.
Dual-use Electromagnetic Rods: The HyMag-ADCS team is using search coil electronics and torque rod electronics that were developed for other efforts in a new way. Use of these two electronics systems enables the electromagnetic rods in the HyMag-ADCS system to be used in two different ways—as torque rods for attitude determination and as search coils to make scientific measurements. The search coil electronics were designed for ground-based measurements to observe ultra-low frequency signals up to a few kHz that are generated by magnetic beacons for indoor localization. The torque rod electronics were designed for use on CubeSats and have flown on several University of Michigan CubeSats (e.g., CubeSat-investigating Atmospheric Density Response to Extreme driving [CADRE]). The HyMag-ADCS concept is to use the torque rod electronics as needed for attitude control and use the search coil electronics the rest of the time to make scientific AC magnetic field measurements.
Machine Learning Algorithms for Spacecraft Noise Identification: Applying machine learning to these distributed sensors will autonomously remove noise generated by the spacecraft. The team is developing a powerful Unsupervised Blind Source Separation (UBSS) algorithm and a new method called Wavelet Adaptive Interference Cancellation for Underdetermined Platforms (WAIC-UP) to perform this task, and this method has already been demonstrated in simulation and the lab.
The HyMag-ADCS system is early in its development stage, and a complete engineering design unit is under development. The project is being completed primarily with undergraduate and graduate students, providing hands-on experiential training for upcoming scientists and engineers.
Early career electrical engineer Julio Vata and PhD student Jhanene Heying-Melendrez with art student resident Ana Trujillo Garcia in the magnetometer lab testing prototypes. Credit: Mark Moldwin For additional details, see the entry for this project on NASA TechPort .
Project Lead: Prof. Mark Moldwin, University of Michigan
Sponsoring Organization: NASA Heliophysics Division’s Heliophysics Technology and Instrument Development for Science (H-TIDeS) program.
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Last Updated Jun 17, 2025 Related Terms
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By NASA
by Dary Felix Garcia
NASA is preparing to make history by sending humans to the Moon’s South Pole. There, astronauts will conduct moonwalks for exploration, science experiments, and prepare humanity for the journey to Mars. Missions of this scale require extensive planning, especially when accounting for emergency scenarios such as a crew member becoming incapacitated.
To address this critical risk, the South Pole Safety Challenge invited the public to develop a compact, effective device capable of safely rescuing astronauts during emergency situations on the Moon’s surface. Given the harsh and unpredictable conditions of the lunar South Pole, the rescue system must be lightweight, easy to use, and able to transport an incapacitated crew member weighing approximately 755 lbs. (343 kg), representing the crew member and their suit, without the help of the lunar rover. It must also be capable of covering up to 1.24 miles (2 kilometers) across slopes as steep as 20 degrees.
“The initiative saved the government an estimated $1,000,000 and more than three years of work had the solutions been produced using in-house existing resources,” said Ryon Stewart, acting Program Manager of NASA’s Center of Excellence for Collaborative Innovation. “The effort demonstrated how crowdsourcing provides NASA with a wide diversity of innovative ideas and skills.”
The global challenge received 385 unique ideas from 61 countries. Five standout solutions received a share of the $45,000 prize purse. Each of the selected solutions demonstrated creativity, practicality, and direct relevance to NASA’s needs for future Moon missions.
The global challenge received 385 unique ideas from 61 countries. Five standout solutions received a share of the $45,000 prize purse. Each of the selected solutions demonstrated creativity, practicality, and direct relevance to NASA’s needs for future Moon missions.
First Place: VERTEX by Hugo Shelley – A self-deploying four-wheeled motorized stretcher that converts from a compact cylinder into a frame that securely encases an immobilized crew member for transport up to 6.2 miles (10 kilometers). Second Place: MoonWheel by Chamara Mahesh – A foldable manual trolley designed for challenging terrain and rapid deployment by an individual astronaut. Third Place: Portable Foldable Compact Emergency Stretcher by Sbarellati team – A foldable stretcher compatible with NASA’s Exploration Extravehicular Activity spacesuit. Third Place: Advanced Surface Transport for Rescue (ASTRA) by Pierre-Alexandre Aubé – A collapsible three-wheeled device with a 1.2 mile (2 kilometer) range. Third Place: Getting Rick to Roll! by InventorParents – A rapidly deployable, tool-free design suited for functionality in low gravity settings. NASA is identifying how to integrate some features of the winning ideas into current and future mission designs. Most intriguing are the collapsible concepts of many of the designs that would save crucial mass and volume. Additionally, the submissions offered innovative wheel designs to enhance current concepts. NASA expects to incorporate some features into planning for surface operations of the Moon.
HeroX hosted the challenge on behalf of NASA’s Extravehicular Activity and Human Surface Mobility Program. The NASA Tournament Lab, part of the Prizes, Challenges, and Crowdsourcing program in the Space Technology Mission Directorate, managed the challenge. The program supports global public competitions and crowdsourcing as tools to advance NASA research and development and other mission needs.
Find more opportunities at https://www.nasa.gov/get-involved/
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