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La Palma volcano: How satellites help us monitor eruptions
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By NASA
Arsia Mons, an ancient Martian volcano, was captured before dawn on May 2, 2025, by NASA’s 2001 Mars Odyssey orbiter while the spacecraft was studying the Red Planet’s atmosphere, which appears here as a greenish haze.NASA/JPL-Caltech/ASU The 2001 Odyssey spacecraft captured a first-of-its-kind look at Arsia Mons, which dwarfs Earth’s tallest volcanoes.
A new panorama from NASA’s 2001 Mars Odyssey orbiter shows one of the Red Planet’s biggest volcanoes, Arsia Mons, poking through a canopy of clouds just before dawn. Arsia Mons and two other volcanoes form what is known as the Tharsis Montes, or Tharsis Mountains, which are often surrounded by water ice clouds (as opposed to Mars’ equally common carbon dioxide clouds), especially in the early morning. This panorama marks the first time one of the volcanoes has been imaged on the planet’s horizon, offering the same perspective of Mars that astronauts have of the Earth when they peer down from the International Space Station.
Launched in 2001, Odyssey is the longest-running mission orbiting another planet, and this new panorama represents the kind of science the orbiter began pursuing in 2023, when it captured the first of its now four high-altitude images of the Martian horizon. To get them, the spacecraft rotates 90 degrees while in orbit so that its camera, built to study the Martian surface, can snap the image.
Arsia Mons is the southernmost of the three volcanoes that make up Tharsis Montes, shown in the center of this cropped topographic map of Mars. Olympus Mons, the solar system’s largest volcano, is at upper left. The western end of Valles Marineris begins cutting its wide swath across the planet at lower right.NASA/JPL-Caltech The angle allows scientists to see dust and water ice cloud layers, while the series of images enables them to observe changes over the course of seasons.
“We’re seeing some really significant seasonal differences in these horizon images,” said planetary scientist Michael D. Smith of NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “It’s giving us new clues to how Mars’ atmosphere evolves over time.”
Understanding Mars’ clouds is particularly important for understanding the planet’s weather and how phenomena like dust storms occur. That information, in turn, can benefit future missions, including entry, descent and landing operations.
Volcanic Giants
While these images focus on the upper atmosphere, the Odyssey team has tried to include interesting surface features in them, as well. In Odyssey’s latest horizon image, captured on May 2, Arsia Mons stands 12 miles (20 kilometers) high, roughly twice as tall as Earth’s largest volcano, Mauna Loa, which rises 6 miles (9 kilometers) above the seafloor.
The southernmost of the Tharsis volcanoes, Arsia Mons is the cloudiest of the three. The clouds form when air expands as it blows up the sides of the mountain and then rapidly cools. They are especially thick when Mars is farthest from the Sun, a period called aphelion. The band of clouds that forms across the planet’s equator at this time of year is called the aphelion cloud belt, and it’s on proud display in Odyssey’s new panorama.
“We picked Arsia Mons hoping we would see the summit poke above the early morning clouds. And it didn’t disappoint,” said Jonathon Hill of Arizona State University in Tempe, operations lead for Odyssey’s camera, called the Thermal Emission Imaging System, or THEMIS.
The THEMIS camera can view Mars in both visible and infrared light. The latter allows scientists to identify areas of the subsurface that contain water ice, which could be used by the first astronauts to land on Mars. The camera can also image Mars’ tiny moons, Phobos and Deimos, allowing scientists to analyze their surface composition.
More About Odyssey
NASA’s Jet Propulsion Laboratory, a division of Caltech in Pasadena, California, manages the Mars Odyssey Project for the agency’s Science Mission Directorate in Washington as part of NASA’s Mars Exploration Program portfolio. Lockheed Martin Space in Denver built the spacecraft and collaborates with JPL on mission operations. THEMIS was built and is operated by Arizona State University in Tempe.
For more about Odyssey:
https://science.nasa.gov/mission/odyssey/
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Andrew Good
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NASA Headquarters, Washington
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Last Updated Jun 06, 2025 Related Terms
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By NASA
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Preparations for Next Moonwalk Simulations Underway (and Underwater)
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
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James R. Riordon
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Last Updated May 15, 2025 LocationAmes Research Center Related Terms
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Help Classify Galaxies Seen by NASA’s James Webb Space Telescope!
The Galaxy Zoo classification interface shows you an image from NASA’s Webb telescope and asks you questions about it. Image credit: Galaxy Zoo, Zooniverse. Inset galaxy: NASA/STScI/CEERS/TACC/S. Finkelstein/M. Bagley/Z. Levay/A. Pagan NASA needs your help identifying the shapes of thousands of galaxies in images taken by our James Webb Space Telescope with the Galaxy Zoo project. These classifications will help scientists answer questions about how the shapes of galaxies have changed over time, what caused these changes, and why. Thanks to the light collecting power of Webb, there are now over 500,000 images of galaxies on website of the Galaxy Zoo citizen science project—more images than scientists can classify by themselves.
“This is a great opportunity to see images from the newest space telescope,” said volunteer Christine Macmillan from Aberdeen, Scotland. “Galaxies at the edge of our universe are being seen for the first time, just as they are starting to form. Just sign up and answer simple questions about the shape of the galaxy that you are seeing. Anyone can do it, ages 10 and up!”
As we look at more distant objects in the universe, we see them as they were billions of years ago because light takes time to travel to us. With Webb, we can spot galaxies at greater distances than ever before. We’re seeing what some of the earliest galaxies ever detected look like, for the first time. The shapes of these galaxies tell us about how they were born, how and when they formed stars, and how they interacted with their neighbors. By looking at how more distant galaxies have different shapes than close galaxies, we can work out which processes were more common at different times in the universe’s history.
At Galaxy Zoo, you’ll first examine an image from the Webb telescope. Then you will be asked several questions, such as ‘Is the galaxy round?’, or ‘Are there signs of spiral arms?’. If you’re quick, you may even be the first person to see the galaxies you’re asked to classify.
“I’m amazed and honored to be one of the first people to actually see these images! What a privilege!” said volunteer Elisabeth Baeten from Leuven, Belgium.
Galaxy Zoo is a citizen science project with a long history of scientific impact. Galaxy Zoo volunteers have been exploring deep space since July 2007, starting with a million galaxies from a telescope in New Mexico called the Sloan Digital Sky Survey and then, moving on to images from space telescopes like NASA’s Hubble Space Telescope and ESA (European Space Agency)’s Euclid telescope. The project has revealed spectacular mergers, taught us about how the black holes at the center of galaxies affect their hosts, and provided insight into how features like spiral arms form and grow.
Now, in addition to adding new data from Webb, the science team has incorporated an AI algorithm called ZooBot, which will sift through the images first and label the ‘easier ones’ where there are many examples that already exist in previous images from the Hubble Space Telescope. When ZooBot is not confident on the classification of a galaxy, perhaps due to complex or faint structures, it will show it to users on Galaxy Zoo to get their human classifications, which will then help ZooBot learn more. Working together, humans and AI can accurately classify limitless numbers of galaxies. The Galaxy Zoo science team acknowledges support from the International Space Sciences Institute (ISSI), who provided funding for the team to get together and work on Galaxy Zoo. Join the project now.
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By NASA
Explore This Section Science Science Activation 2025 Aviation Weather Mission:… Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science 2 min read
2025 Aviation Weather Mission: Civil Air Patrol Cadets Help Scientists Study the Atmosphere with GLOBE Clouds
The Science Activation Program’s NASA Earth Science Education Collaborative (NESEC) is working alongside the Civil Air Patrol (CAP) to launch the 2025 Aviation Weather Mission. The mission will engage cadets (students ages 11-20) and senior members to collect aviation-relevant observations including airport conditions, Global Learning and Observations to Benefit the Environment (GLOBE) Cloud observations, commercial aircraft information (including registration number and altitude), and satellite collocations provided by the NASA GLOBE Clouds team at NASA Langley Research Center. This mission results from a highly successful collaboration between NESEC and CAP as cadets and senior members collected cloud, air temperature, and land cover observations during the partial and total solar eclipses in 2023 and 2024, engaging over 400 teams with over 3,000 cadets and over 1,000 senior members in every state, Washington DC, and Puerto Rico.
The 2025 Aviation Weather Mission will take place from April through July 2025, collecting observations over two 4-hour periods while practicing additional skills, such as flight tracking, orienteering, and data management. So far, over 3,000 cadets in 46 wings (states) have signed up to participate.
Science Activation recently showed support for this mission through a letter of collaboration sent to CAP Major General Regena Aye in early February. NASA GLOBE Clouds and GLOBE Observer are part of the NASA Earth Science Education Collaborative (NESEC), which is led by the Institute for Global Environmental Strategies (IGES) and supported by NASA under cooperative agreement award number NNX16AE28A. NESEC is part of NASA’s Science Activation Portfolio. Learn more about how Science Activation connects NASA science experts, real content, and experiences with community leaders to do science in ways that activate minds and promote deeper understanding of our world and beyond: https://science.nasa.gov/learn
Cadets from the Virginia wing making cloud observations as they prepare for the 2025 Aviation Weather Mission. Share
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By NASA
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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