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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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Chaitén Volcano in southern Chile erupted on May 2, 2008 for the first time inn 9,000 years. NASA satellites that monitor changes in vegetation near volcanoes could aid in earlier eruption warnings.Jeff Schmaltz, MODIS Rapid Response Team, NASA Goddard Space Flight Center Scientists know that changing tree leaves can indicate when a nearby volcano is becoming more active and might erupt. In a new collaboration between NASA and the Smithsonian Institution, scientists now believe they can detect these changes from space.
As volcanic magma ascends through the Earth’s crust, it releases carbon dioxide and other gases which rise to the surface. Trees that take up the carbon dioxide become greener and more lush. These changes are visible in images from NASA satellites such as Landsat 8, along with airborne instruments flown as part of the Airborne Validation Unified Experiment: Land to Ocean (AVUELO).
Ten percent of the world’s population lives in areas susceptible to volcanic hazards. People who live or work within a few miles of an eruption face dangers that include ejected rock, dust, and surges of hot, toxic gases. Further away, people and property are susceptible to mudslides, ashfalls, and tsunamis that can follow volcanic blasts. There’s no way to prevent volcanic eruptions, which makes the early signs of volcanic activity crucial for public safety. According to the U.S. Geological Survey, NASA’s Landsat mission partner, the United States is one of the world’s most volcanically active countries.
Carbon dioxide released by rising magma bubbles up and heats a pool of water in Costa Rica near the Rincón de LaVieja volcano. Increases in volcanic gases could be a sign that a volcano is becoming more active.Josh Fisher/Chapman University When magma rises underground before an eruption, it releases gases, including carbon dioxide and sulfur dioxide. The sulfur compounds are readily detectable from orbit. But the volcanic carbon dioxide emissions that precede sulfur dioxide emissions – and provide one of the earliest indications that a volcano is no longer dormant – are difficult to distinguish from space.
The remote detection of carbon dioxide greening of vegetation potentially gives scientists another tool — along with seismic waves and changes in ground height—to get a clear idea of what’s going on underneath the volcano. “Volcano early warning systems exist,” said volcanologist Florian Schwandner, chief of the Earth Science Division at NASA’s Ames Research Center in California’s Silicon Valley, who had teamed up with Fisher and Bogue a decade ago. “The aim here is to make them better and make them earlier.”
“Volcanoes emit a lot of carbon dioxide,” said volcanologist Robert Bogue of McGill University in Montreal, but there’s so much existing carbon dioxide in the atmosphere that it’s often hard to measure the volcanic carbon dioxide specifically. While major eruptions can expel enough carbon dioxide to be measurable from space with sensors like NASA’s Orbiting Carbon Observatory 2, detecting these much fainter advanced warning signals has remained elusive. “A volcano emitting the modest amounts of carbon dioxide that might presage an eruption isn’t going to show up in satellite imagery,” he added.
Gregory Goldsmith from Chapman University launches a slingshot into the forest canopy to install a carbon dioxide sensor in the canopy of a Costa Rican rainforest near the Rincón de LaVieja volcano.Josh Fisher/Chapman University Because of this, scientists must trek to volcanoes to measure carbon dioxide directly. However, many of the roughly 1,350 potentially active volcanoes worldwide are in remote locations or challenging mountainous terrain. That makes monitoring carbon dioxide at these sites labor-intensive, expensive, and sometimes dangerous.
Volcanologists like Bogue have joined forces with botanists and climate scientists to look at trees to monitor volcanic activity. “The whole idea is to find something that we could measure instead of carbon dioxide directly,” Bogue said, “to give us a proxy to detect changes in volcano emissions.”
“There are plenty of satellites we can use to do this kind of analysis,” said volcanologist Nicole Guinn of the University of Houston. She has compared images collected with Landsat 8, NASA’s Terra satellite, ESA’s (European Space Agency) Sentinel-2, and other Earth-observing satellites to monitor trees around the Mount Etna volcano on the coast of Sicily. Guinn’s study is the first to show a strong correlation between tree leaf color and magma-generated carbon dioxide.
Confirming accuracy on the ground that validates the satellite imagery is a challenge that climate scientist Josh Fisher of Chapman University is tackling with surveys of trees around volcanoes. During the March 2025 Airborne Validation Unified Experiment: Land to Ocean mission with NASA and the Smithsonian Institution scientists deployed a spectrometer on a research plane to analyze the colors of plant life in Panama and Costa Rica.
Alexandria Pivovaroff of Occidental College measures photosynthesis in leaves extracted from trees exposed to elevated levels of carbon dioxide near a volcano in Costa Rica.Josh Fisher/Chapman University Fisher directed a group of investigators who collected leaf samples from trees near the active Rincon de la Vieja volcano in Costa Rica while also measuring carbon dioxide levels. “Our research is a two-way interdisciplinary intersection between ecology and volcanology,” Fisher said. “We’re interested not only in tree responses to volcanic carbon dioxide as an early warning of eruption, but also in how much the trees are able to take up, as a window into the future of the Earth when all of Earth’s trees are exposed to high levels of carbon dioxide.”
Relying on trees as proxies for volcanic carbon dioxide has its limitations. Many volcanoes feature climates that don’t support enough trees for satellites to image. In some forested environments, trees that respond differently to changing carbon dioxide levels. And fires, changing weather conditions, and plant diseases can complicate the interpretation of satellite data on volcanic gases.
Chapman University visiting professor Gaku Yokoyama checks on the leaf-measuring instrumentation at a field site near the Rincón de LaVieja volcano.Josh Fisher/Chapman University Still, Schwandner has witnessed the potential benefits of volcanic carbon dioxide observations first-hand. He led a team that upgraded the monitoring network at Mayon volcano in the Philippines to include carbon dioxide and sulfur dioxide sensors. In December 2017, government researchers in the Philippines used this system to detect signs of an impending eruption and advocated for mass evacuations of the area around the volcano. Over 56,000 people were safely evacuated before a massive eruption began on January 23, 2018. As a result of the early warnings, there were no casualties.
Using satellites to monitor trees around volcanoes would give scientists earlier insights into more volcanoes and offer earlier warnings of future eruptions. “There’s not one signal from volcanoes that’s a silver bullet,” Schwandner said. “And tracking the effects of volcanic carbon dioxide on trees will not be a silver bullet. But it will be something that could change the game.”
By James Riordon
NASA’s Earth Science News Team
Media contact: Elizabeth Vlock
NASA Headquarters
About the Author
James R. Riordon
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Last Updated May 15, 2025 LocationAmes Research Center Related Terms
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By NASA
An electron microscopy images of multicellular magnetotactic bacteria that featured on the covers of the 2022 edition of The ISME Journal. The image was produced by Schaible and co-workers under the group’s NASA awards.Roland Hatzenpichler / Montana State University In a recent study, NASA-supported researchers gained new insight into the lives of bacteria that survive by grouping together as if they were a multi-cellular organism. The organisms in the study are the only bacteria known to do this in this way, and studying them could help astrobiologists explain important steps in the evolution of life on Earth.
The organisms in the study are known as ‘multicellular magnetotactic bacteria,’ or MMB. Being magnetotactic means that MMB are part of a select group of bacteria that orient their movement based on Earth’s magnetic field using tiny ‘compass needles’ in their cells. As if that wasn’t special enough, MMB also live bunched up in collections of cells that are considered by some scientists to exhibit ‘obligate’ multicellularity, which is the trait the new study is focused on.
In biology, obligate means that an organism requires something for survival. In this case, it means that single cells of MMB cannot survive on their own. Instead, cells live as a consortium of multiple cells that behave in many ways like a single multicellular organism. This requirement to live together means that when MMB reproduce, they do so by replicating all the cells in the consortium at once, doubling the total number of cells. This large group of cells then splits into two identical consortia.
Electron microscopy image and cartoon of a MMB consortium, highlighting its characteristics features that includes a hollow space at the center of the cell consortium.George Shaible et al. PLOS Biology 2024 MMB are the only example of bacteria that are known to live like this. Many other bacteria clump together as simple aggregates of single cells. For instance, cyanobacteria clump together in colonies and form structures like stromatolites or biofilms that are visible to the naked eye. However, unlike MMB, these cyanobacteria can also survive as single, individual cells.
In the new study, scientists have revealed even more complexity in the relationships between MMB cells. First, contrary to long-held assumptions, individual cells within MMB consortia are not genetically identical, they differ slightly in their genetic blueprint. Further, cells within a consortium exhibit different and complementary behavior in terms of their metabolism. Each cell in an MMB consortium has a role that contributes to the survival of the entire group. This behavior is similar to how individual cells within multicellular organisms behave. For example, human bodies are made up of tens of trillions of cells. These cells differentiate into specific cell types with different functions. Bone cells are not the same as blood cells. Fat cells that store energy are different from the nerve cells that store and transmit information. Each cell has a role to play, and together they make up a single living body.
The proposed life cycle of multicellular magnetotactic bacteria (MMB). Credit: George ShcaibleGeorge Schaible The evolution of multicellularity is one of the major transitions in the history life on our planet and had profound effects on Earth’s biosphere. In the wake of its appearance, life developed novel strategies for survival that led to entirely new ecosystems. As the only example of bacteria that exhibit obligate multicellularity, MMB provide an important example of possible mechanisms behind this profound step in life’s evolutionary history on Earth.
The study, “Multicellular magnetotactic bacteria are genetically heterogeneous consortia with metabolically differentiated cells,” was published in PLOS Biology. The work was supported through the NASA Exobiology program and the Future Investigators in NASA Earth and Space Science and Technology (FINESST) program.
For more information on NASA Astrobiology, visit:
https://astrobiology.nasa.gov
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Astronaut Jeanette Epps extracts DNA samples from bacteria colonies for genomic analysis aboard the International Space Station’s Harmony module.NASA In an effort to learn more about astronaut health and the effects of space on the human body, NASA is conducting a new experiment aboard the International Space Station to speed up the detection of antibiotic-resistant bacteria, thus improving the health safety not only of astronauts but patients back on Earth.
Infections caused by antibiotic-resistant bacteria can be difficult or impossible to treat, making antibiotic resistance a leading cause of death worldwide and a global health concern.
Future astronauts visiting the Moon or Mars will need to rely on a pre-determined supply of antibiotics in case of illness. Ensuring those antibiotics remain effective is an important safety measure for future missions.
The Genomic Enumeration of Antibiotic Resistance in Space (GEARS) experiment, which is managed by NASA’s Ames Research Center in California’s Silicon Valley, involves astronauts swabbing interior surfaces across the space station and testing those samples for evidence of antibiotic-resistant bacteria, and in particular Enterococcus faecalis, a type of bacteria commonly found in the human body. The experiment is the first step in a series of work that seeks to better understand how organisms grow in a space environment, and how those similarities and differences might help improve research back on Earth.
“Enterococcus is a type of organism that’s been with us since our ancestors crawled out of the ocean, and is a core member of the human gut,” said Christopher Carr, assistant professor at the Georgia Institute of Technology and co-principal investigator of GEARS. “It’s able to survive inside and outside of its host, which has allowed it to become the second highest leading cause of hospital-acquired infections. We want to understand how this type of organism is adapting to the space environment.”
The GEARS experiment seeks to improve the detection and identification of these bacteria, building on existing efforts to understand what organisms grow on the station’s surfaces.
“We’ve been monitoring the surfaces of the space station since 2000, but this experiment will give us insight beyond the identities of present organisms, which is currently all that is used for risk assessment,” said Sarah Wallace, a microbiologist at NASA’s Johnson Space Center in Houston and co-principal investigator of GEARS. “With the station orbiting close to Earth, it’s a low-risk space to evaluate and learn more about the frequency of this bacteria and how it responds to the space environment so we can apply this understanding to missions to the Moon and Mars, where resupplies are more complex.”
Over the next year, astronauts will swab parts of the station and analyze samples by adding an antibiotic to the medium in which the samples will grow. The results will reveal where this and other resistant bacteria are growing and whether they can persist or spread across the station.
I hope we can shine a light on rapidly analyzing bacteria: if we can do this in space, we can do it on Earth, too.
Sarah WAllace
NASA Microbiologist
The experiment was originally launched to the ISS on the 30th SpaceX commercial resupply services (CRS) mission in March 2024, and the first round of GEARS testing turned up surprising results: very few resistant bacteria colonies, none of which were E. faecalis. This bodes well for the threat of antibiotic resistance in space.
“There was some cleaning done before swabbing the station, which may have removed some bacteria,” said Carr. To better understand how and where risky bacteria may live, the astronauts paused some cleaning before the second round of swabbing.
“We want the astronauts to have a clean environment, but we also want to test those high-touch areas, so they intentionally and briefly avoided cleaning some areas so we can understand how bacteria may grow or spread on the station.”
This experiment is the first study to perform metagenomic sequencing in space, a method that analyzes all the genetic material in a sample to identify and characterize all organisms that are present, an important research and medical diagnostic capability for future deep space missions.
The GEARS team hopes to create a rapid workflow to analyze bacteria samples, reducing the time between swabbing and test results from days to hours. That workflow could be applied in hospitals and make a huge impact when treating hospital-acquired infections from antibiotic-resistant microbes.
The result could save lives – more than 35,000 people die each year as a result of antibiotic-resistant infections. The issue is personal to Wallace, who lost a family member to a hospital-acquired infection.
“It’s not that uncommon: so many people have experienced this kind of loss,” said Wallace. “A method to give an answer in a matter of hours is huge and profound. It’s my job to keep the crew healthy, but we’re also passionate about bringing that work back down to Earth. I hope we can shine a light on rapidly analyzing bacteria: if we can do this in space, we can do it on Earth, too.”
Genomic Enumeration of Antibiotic Resistance in Space (GEARS) was funded by the Biological and Physical Sciences Space Biology Program, with pioneering funding and support from the Mars Campaign office.
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Last Updated Feb 19, 2025 Related Terms
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An image of a coastal marshland combines aerial and satellite views in a technique similar to hyperspectral imaging. Combining data from multiple sources gives scientists information that can support environmental management.John Moisan When it comes to making real-time decisions about unfamiliar data – say, choosing a path to hike up a mountain you’ve never scaled before – existing artificial intelligence and machine learning tech doesn’t come close to measuring up to human skill. That’s why NASA scientist John Moisan is developing an AI “eye.”
Oceanographer John MoisanNASA Moisan, an oceanographer at NASA’s Wallops Flight Facility near Chincoteague, Virginia, said AI will direct his A-Eye, a movable sensor. After analyzing images his AI would not just find known patterns in new data, but also steer the sensor to observe and discover new features or biological processes.
“A truly intelligent machine needs to be able to recognize when it is faced with something truly new and worthy of further observation,” Moisan said. “Most AI applications are mapping applications trained with familiar data to recognize patterns in new data. How do you teach a machine to recognize something it doesn’t understand, stop and say ‘What was that? Let’s take a closer look.’ That’s discovery.”
Finding and identifying new patterns in complex data is still the domain of human scientists, and how humans see plays a large part, said Goddard AI expert James MacKinnon. Scientists analyze large data sets by looking at visualizations that can help bring out relationships between different variables within the data.
Infrared images like this one from a marsh area on the Maryland/Virginia Eastern Shore coastal barrier and back bay regions reveal clues to scientists about plant health, photosynthesis, and other conditions that affect vegetation and ecosystems.John Moisan It’s another story to train a computer to look at large data streams in real time to see those connections, MacKinnon said. Especially when looking for correlations and inter-relationships in the data that the computer hasn’t been trained to identify.
Moisan intends first to set his A-Eye on interpreting images from Earth’s complex aquatic and coastal regions. He expects to reach that goal this year, training the AI using observations from prior flights over the Delmarva Peninsula. Follow-up funding would help him complete the optical pointing goal.
“How do you pick out things that matter in a scan?” Moisan asked. “I want to be able to quickly point the A-Eye at something swept up in the scan, so that from a remote area we can get whatever we need to understand the environmental scene.”
Moisan’s on-board AI would scan the collected data in real-time to search for significant features, then steer an optical sensor to collect more detailed data in infrared and other frequencies.
Thinking machines may be set to play a larger role in future exploration of our universe. Sophisticated computers taught to recognize chemical signatures that could indicate life processes, or landscape features like lava flows or craters, might offer to increase the value of science data returned from lunar or deep-space exploration.
Today’s state-of-the-art AI is not quite ready to make mission-critical decisions, MacKinnon said.
“You need some way to take a perception of a scene and turn that into a decision and that’s really hard,” he said. “The scary thing, to a scientist, is to throw away data that could be valuable. An AI might prioritize what data to send first or have an algorithm that can call attention to anomalies, but at the end of the day, it’s going to be a scientist looking at that data that results in discoveries.”
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Last Updated Feb 10, 2025 Related Terms
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