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Rita Owens: Keeper of NASA’s Digital Knowledge
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Explore This Section Science Goddard Space Flight Center Linking Satellite Data and… Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science 4 min read
Linking Satellite Data and Community Knowledge to Advance Alaskan Snow Science
Seasonal snow plays a significant role in global water and energy cycles, and billions of people worldwide rely on snowmelt for water resources needs, including water supply, hydropower, agriculture, and more. Monitoring snow water equivalent (SWE) is critical for supporting these applications and for mitigating damages caused by snowmelt flooding, avalanches, and other snow-related disasters. However, our ability to measure SWE remains a challenge, particularly in northern latitudes where in situ SWE observations are sparse and satellite observations are impacted by the boreal forest and environmental conditions. Despite limited in situ SWE measurements, local residents in Arctic and sub-Arctic regions provide a vast and valuable body of place-based knowledge and observations that are essential for understanding snowpack behavior in northern regions.
As part of a joint NASA SnowEx, NASA’s Minority University Research and Education Project (MUREP) for American Indian and Alaska Native STEM (Science, Technology, Engineering, & Mathematics) Engagement (MAIANSE), and Global Learning & Observations to Benefit the Environment (GLOBE) Program partnership, a team of scientists including NASA intern Julia White (NASA Goddard Space Flight Center, University of Alaska Fairbanks), Carrie Vuyovich (NASA Goddard Space Flight Center), Alicia Joseph (NASA Goddard Space Flight Center), and Christi Buffington (University of Alaska Fairbanks, GLOBE Implementation Office) is studying snow water equivalent (SWE) across Interior Alaska. This project combines satellite-based interferometric synthetic aperture radar (InSAR) data, primarily from the Sentinel-1 satellite, with ground-based observations from the Snow Telemetry (SNOTEL) network and GLOBE (Global Learning Observations to Benefit the Environment). Together, these data sources help the team investigate how SWE varies across the landscape and how it affects local ecosystems and communities. The team is also preparing for future integration of data from NASA’s upcoming NISAR (NASA ISRO Synthetic Aperture Radar) mission, which is expected to enhance SWE retrieval capabilities.
After a collaborative visit to the classroom of Tammie Kovalenko in November 2024, Delta Junction junior and senior high school students in vocational agriculture (Vo Ag) classes, including members of Future Farmers of America (FFA), began collecting GLOBE data on a snowdrift located just outside their classroom. As the project progressed, students developed their own research questions. One student, Fianna Rooney, took the project even further — presenting research posters at both the GLOBE International Virtual Science Symposium (IVSS) and both the FFA Regional and National Conventions. Her work highlights the growing role of Alaskan youth in science, and how student-led inquiry can enrich both education and research outcomes. (This trip was funded by the NASA Science Activation Program’s Arctic and Earth SIGNs – STEM Integrating GLOBE & NASA – project at the University of Alaska Fairbanks.)
In February 2025, the team collaborated with Delta Junction Junior High and High School students, along with the Delta Junction Trails Association, to conduct a GLOBE Intensive Observation Period (IOP), “Delta Junction Snowdrifts,” to collect Landcover photos, snow depth, and snow water equivalent data. Thanks to aligned interests and research goals at the Alaska Satellite Facility (ASF), the project was further expanded into Spring 2025. Collaborators from ASF and the Alaska Center for Unmanned Aircraft Systems Integration (ACUASI) collected high resolution airborne data over the snowdrift at the Delta Junction Junior and Senior High School. This complementary dataset helped strengthen connections between satellite observations and ground-based student measurements.
This effort, led by a NASA intern, scientists, students, and Alaskan community members, highlights the power of collaboration in advancing science and education. Next steps will include collaboration with Native Alaskan communities near Delta Junction, including the Healy Lake Tribe, whose vast, generational knowledge will be of great value to deepening our understanding of Alaskan snow dynamics.
Learn more about how NASA’s Science Activation program 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/about-science-activation/
Julia White and Delta Junction student following GLOBE protocols for snow depth. Tori Brannan Share
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Last Updated Jul 14, 2025 Editor NASA Science Editorial Team Location Goddard Space Flight Center Related Terms
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Preparations for Next Moonwalk Simulations Underway (and Underwater)
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Last Updated Jun 18, 2025 EditorLillian GipsonContactJim Bankejim.banke@nasa.gov Related Terms
Digital Information Platform Air Traffic Management – Exploration View the full article
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By NASA
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Preparations for Next Moonwalk Simulations Underway (and Underwater)
Boeing’s test plane simulates digital taxiing at Moffett Field at NASA’s Ames Research Center in California’s Silicon Valley. NASA/Brandon Torres Navarrete New technology tested by an industry partner at NASA’s Ames Research Center in California’s Silicon Valley could improve how commercial planes taxi to and from gates to runways, making operations safer and more efficient on the surfaces of airports.
Airport taxiways are busy. Planes come and go while support vehicles provide maintenance, carry fuel, transport luggage, and more. Pilots must listen carefully to air traffic control when getting directions to the runway – and garbled communications and heavy workloads can cause issues that could lead to runway incursions or collisions.
Researchers at Boeing are working to address these issues by digitizing taxiway information and automating aircraft taxi functions. The team traveled to NASA Ames to collaborate with researchers while testing their technology at the Moffett Federal Airfield and NASA’s FutureFlight Central, an air traffic control simulation facility.
Doug Christensen, test engineer for Air Traffic Management eXploration (ATM-X) at NASA Ames, and Mike Klein, autonomy technical leader in product development at Boeing discuss the digital taxi test in Ames’s FutureFlight Central facility.NASA/Brandon Torres Navarrete To test these new technologies, Boeing brought a custom single-engine test plane to the airfield. Working from FutureFlight Central, their researchers developed simulated taxiway instructions and deployed them to the test pilot’s digital tablet and the autonomous system.
Typically, taxiing requires verbal communication between an air traffic controller and a pilot. Boeing’s digital taxi release system displays visual turn-by-turn routes and directions directly on the pilot’s digital tablet.
“This project with Boeing lends credibility to the research being done across Ames,” said Adam Yingling, autonomy researcher for the Air Traffic Management-eXploration (ATM-X) program at NASA Ames. “We have a unique capability with our proximity to Moffett and the work Ames researchers are doing to advance air traffic capabilities and technologies to support the future of our national airspace that opens the door to work alongside commercial operators like Boeing.”
The team’s autonomous taxiing tests allowed its aircraft to follow the air traffic control’s digital instructions to transit to the runway without additional pilot inputs.
Estela Buchmann, David Shapiro, and Maxim Mounier, members of the NASA Ames ATM-X project team, analyze results of Boeing’s digital taxi test at Ames’s FutureFlight Central facility.NASA/Brandon Torres Navarrete As commercial air travel increases and airspace gets busier, pilots and air traffic controllers have to manage heavier workloads. NASA is working with commercial partners to address those challenges through initiatives like its Air Traffic Management-eXploration project, which aims to transform air traffic management to accommodate new vehicles and air transportation options.
“In order to increase the safety and efficiency of our airspace operations, NASA research in collaboration with industry can demonstrate how specific functions can be automated to chart the course for enhancing traffic management on the airport surface,” said Shivanjli Sharma, ATM-X project manager at Ames.
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Last Updated May 22, 2025 Related Terms
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The Goddard OCKO has a large collection of case studies covering a wide range of missions and technical topics, including launch decision making, project management, procurement, instrument development, risk management, systems engineering and more. These case studies can be used to facilitate learning of critical knowledge and lessons that enable mission success.
Click Here to Access the Case Studies (Internal NASA Only).
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Ken Freeman (center) receives the ATCA Award for ATM-X Digital Information Platform (DIP) from Rachel Jackson, Chair ATCA Board of Directors (left) and Carey Fagan, President and CEO ATCA (right).NASA Air Traffic Control Association (ATCA) Award to the NASA ATM-X Digital Information Platform (DIP) Team
In November 2024, the Digital Information Platform (DIP) team received the prestigious Industry Award from the Air Traffic Control Association (ATCA) at the annual ATCA Connect Conference in Washington, DC. The award recognized the team’s efforts in supporting NASA’s Sustainable Flight National Partnership (SFNP), which aims for net-zero carbon emissions from aviation by 2050. The DIP sub-project focuses on increasing access to digital aviation information to enable efficient and sustainable airspace operations. DIP team has been conducting live operational demonstrations in North Texas Metroplex environment since 2022 with commercial airlines on the Collaborative Digital Departure Reroute (CDDR) tool that applies machine learning to make predictions on runway availability, departure times, and arrival times. DIP has signed Space Act Agreements with five major US airlines to carryout operational evaluation of CDDR in complex metroplex environments and is now deploying the CDDR capability to Houston. CDDR machine learning algorithm intelligently provides re-routing options to the operators by using real time weather and operational data reducing delays, fuel burn and carbon emissions. DIP is part of the Air Traffic Management – eXploration (ATM-X) project, which is focused on transforming the air traffic management system to accommodate new air vehicles. More information on the ATCA award is at: https://www.atca.org/detail-pages/news/2024/11/15/atca-presents-annual-awards-at-atca-connect-recognizing-exceptional-efforts-made-to-the-worldwide-air-traffic-control-and-airspace-system.
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