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By Space Force
The U.S. Space Force announced the winners of the third annual Polaris Awards, recognizing individuals and teams who embody the four Guardian Values: Character, Connection, Commitment, and Courage.
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By European Space Agency
Ice melting from glaciers around the world is depleting regional freshwater resources and driving global sea levels to rise at ever-faster rates.
According to new findings, through an international effort involving 35 research teams, glaciers have been losing an average of 273 billion tonnes of ice per year since the year 2000 – but hidden within this average there has been an alarming increase over the last 10 years.
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By NASA
Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions 2 min read
Sols 4450-4451: Making the Most of a Monday
NASA’s Mars rover Curiosity acquired this image of its brightly lit workspace and its right-front wheel in the shadows, perched on some tall rocks. The rover used its Right Front Hazcam (Front Hazard Avoidance Camera) to capture the image on sol 4449 — or Martian day 4,449 of the Mars Science Laboratory mission — Feb. 10, 2025, at 10:44:45 UTC. NASA/JPL-Caltech Earth planning date: Monday, Feb. 10, 2025
Last Saturday around 20:00 Pacific Standard Time I saw a 22-degree halo encircling our mostly-full Moon and Mars; an entire planet hanging in the sky between our Moon and the atmospheric phenomenon. As I took in the view I wondered what our rover was doing at that moment… turns out the Sun had just risen over Gale crater and Curiosity was still asleep, waiting for her alarm to go off in about 2.5 hours for another full day of science.
She wouldn’t start the weekend’s drive until Monday morning about 1:30, while I was still asleep waiting for my alarm to sound at 5:15. The drive’s data arrived on Earth about 5:30, and told us we drove until our time-of-day limit for driving — stopping about 36 meters (about 118 feet) away from Friday’s location. Unfortunately, our right-front wheel was shown to be perched on some tall rocks and we couldn’t quantify the drop risk if we unstowed the arm. We decided to play it safe and keep the arm stowed instead.
Today’s two-sol plan would normally be in “nominal” sols — meaning we’d get a full day of science and a drive on the second sol — but due to some DSN downtime on Earth we moved our drive to the first sol, therefore switching to “restricted” sols a bit earlier than usual after our last soliday. Even though we couldn’t plan contact science, we’re making the most of our plan with almost 90 minutes of remote sensing. Mastcam will take an approximately 24-frame stereo mosaic of Wilkerson butte to the north, and ChemCam will shoot their laser at a rock in our workspace named “Carbon Canyon,” as well as three separate RMI mosaics! We’ll then attempt to drive until our time-of-day limit of about 15:00 local Gale time, hopefully getting us to a more stable spot on Wednesday for contact science. The second sol contains our usual dust-devil surveys with Navcam, atmospheric opacity measurements with Mastcam, and a blind LIBS on a piece of bedrock the rover chooses autonomously.
Written by Natalie Moore, Mission Operations Specialist at Malin Space Science Systems
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Last Updated Feb 11, 2025 Related Terms
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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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By NASA
“Data visualization has recently exploded as a communication tool,” said Mark SubbaRao, information technology specialist and lead for NASA’s Scientific Visualization Studio. “As data becomes bigger and more complex, visualization becomes an even more important tool for understanding that data.”Rachel Connolly / Courtesy of Mark SubbaRao Name: Mark SubbaRao
Title: Lead, Scientific Visualization Studio (SVS)
Formal Job Classification: Information Technology Specialist
Organization: SVS, Science Mission Directorate (Code 606.4)
What do you do and what is most interesting about your role here at Goddard? How do you help support Goddard’s mission?
I have an amazing job. I get to work with all the most interesting NASA science and make it visual to help people can understand it. The Scientific Visualization Studio, the SVS, supports all of NASA and is located at Goddard.
What is your educational background?
I have B.S. in engineering physics, minor in astronomy, from Lehigh University in Bethlehem, Pennsylvania. I have a Ph.D. in astrophysics from Johns Hopkins University.
What is data visualization? How is it different from animation?
Data visualization is the graphical representation of actual data (in our case usually scientific data). At its most basic it takes the forms of charts, graphs, and maps. In contrast, conceptual animation, such as the work of our colleagues in the CI Lab, is the graphical representation of ideas. Conceptual animation and data visualization are both needed to communicate the full scientific process.
How did your work for the University of Chicago develop your interest in visualization?
I worked on software for the Sloan Digital Sky Survey, a project to create the biggest 3D map of the universe. Our goal was to map 3D positions of a million galaxies, which we did. My role was to develop the software to determine the distance to galaxies. To see the result we needed a way to see how the galaxies were distributed in 3D, which led to my interest in visualization.
Viewing this map, I felt like we had revealed a new world which no one had yet seen altogether. The desire to share that with the public led me a position at the Adler Planetarium in Chicago.
“Astrographics,” a video piece Mark SubbaRao produced for the Adler Planetarium, being projected on the Merchandise Mart on the Chicago riverfront.Michael SubbaRao / Courtesy of Mark SubbaRao How did planetariums evolve during your 18 years of working for the Adler Planetarium?
I led their visualization efforts for their Space Visualization Laboratory, a laboratory that was on the museum floor and had multiple specialized displays. The local scientific community used our laboratory to present to the public including other scientists and students.
I also produced planetarium shows and designed exhibits. My last project, “Astrographics” for Art on the Mart, was a 2.6-acre, outdoor projection onto a building near the Chicago River. We believe that this is the largest, permanent outdoor digital projection in the world.
I began to see the power of the planetarium as a data visualization environment. Traditionally, a planetarium has been a place to project stars and tell stories about constellations. Planetariums have now evolved into a general-purpose visualization platform to communicate science.
I got more involved with the planetarium community, which led to me becoming president of the International Planetarium Society. A major focus of my presidency was promoting planetariums in Africa.
Why did you come to NASA’s SVS at Goddard?
I came to Goddard in December 2020. I always admired NASA’s SVS and had used their products. I consider the SVS the preeminent group using scientific visualization for public communication.
I wanted to work on visualizations for a broader variety of sciences, in particular, climate science. Our group created visualizations for the United Nations Climate Conference (COP26) in Glasgow, Scotland, the fall of 2021. In March 2022, I created a visualization called Climate Spiral, which went viral.
This visualization shows monthly global temperature anomalies (changes from an average) between the years 1880 and 2021. Whites and blues indicate cooler temperatures, while oranges and reds show warmer temperatures.
Credits: NASA’s Goddard Space Flight Center / NASA’s Scientific Visualization Studio
Download high-resolution video and images from NASA’s Scientific Visualization Studio As the lead, how do you hope to inspire your group?
Our group is very talented, experienced, and self-motivated. Data visualization has recently exploded as a communication tool. Our goal is to continue to stay on top of this rapidly evolving field. Coupled with this, there has been an explosion in scientific data from satellites and super computers. As data becomes bigger and more complex, visualization becomes an even more important tool for understanding that data.
Karen St. Germain, NASA’s Director of Earth Science, presenting an SVS visualization of carbon dioxide to the 2021 United Nations Climate Change Conference in Glasgow, Scotland.
Download high-resolution video and images from NASA’s Scientific Visualization Studio: https://svs.gsfc.nasa.gov/31168NASA’s Goddard Space Flight Center / NASA’s Scientific Visualization Studio Your work combines art and science. What are the benefits of combining art and science?
One huge benefit is that you can reach people through an artistic visual presentation of science who may not be interested in simply reading an article. You can go beyond teaching people, you can move them emotionally through a good, artistic presentation.
For example, in “Climate Spiral,” we did not want to just inform people that global average temperatures have increased, we wanted people to feel that the temperature has increased.
Also, our universe is just beautiful. Why not let the beauty of the universe create something artistic for you? I sometimes feel like I cheat by letting the universe do my design for me.
What do you do for fun?
Since moving to Maryland, and living near the Chesapeake Bay, I have taken up stand up paddleboarding. I like to cook too. My father is Indian, so I cook a lot of Indian food.
Who inspires you?
Arthur C. Clarke, the science fiction writer, also wrote a lot of popular science. He played a big part in my decision to become a scientist.
Conversations With Goddard is a collection of Q&A profiles highlighting the breadth and depth of NASA’s Goddard Space Flight Center’s talented and diverse workforce. The Conversations have been published twice a month on average since May 2011. Read past editions on Goddard’s “Our People” webpage.
By Elizabeth M. Jarrell
NASA’s Goddard Space Flight Center, Greenbelt, Md.
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Last Updated Feb 10, 2025 EditorJessica EvansContactRob Garnerrob.garner@nasa.gov Related Terms
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