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By NASA
Editor’s Note: The following is one of three related articles about the NASA Data Acquisition System and related efforts. Please visit Stennis News – NASA to access accompanying articles.
The NASA Data Acquisition System, developed at NASA Stennis, is used in multiple test areas at NASA’s Marshall Space Flight Center in Huntsville, Alabama, including Test Facility 116. The facility consists of an open-steel test stand structure, primarily used for subscale testing, and three adjacent test bays designed for large-scale/full-scale testing. NASA/Marshall Space Flight Center Teams at NASA’s Langley Research Center in Hampton, Virginia conduct a test in the 8-Foot High-Temperature Tunnel. The NASA Data Acquisition System, developed at NASA Stennis, represents a potential solution for engineers seeking to standardize data systems at NASA Langley. NASA/Langley Research Center Teams at Test Stand 403, located at NASA’s White Sands Test Facility in Las Cruces, New Mexico, plan to use the NASA Data Acquisition System to support testing and development projects related to NASA’s Orion spacecraft.NASA/White Sands Test Facility A data-focused software tool created at NASA’s Stennis Space Center near Bay St. Louis, Mississippi, continues to expand its capabilities and use across the agency.
Much like the software on a cell phone, the NASA Data Acquisition System (NDAS) software evolves with updates to meet user needs.
“It is not just because we are seeking new opportunities that we evolve,” said Kris Mobbs, NASA project manager for NDAS. “It is because the community of people using this software tell us about all the new, cool things happening and how they want to use the tool.”
Created as a standard method for collecting rocket propulsion test data, NDAS is proving to be a building block to acquire, display, and process various datasets. The flexibility of the software has supplied solutions for NASA’s work in New Mexico and Alabama and is being evaluated for data acquisition needs in Virginia.
When NASA’s White Sands Test Facility in Las Cruces, New Mexico, needed a new data acquisition system with a flexible design, the facility reached out to NASA Stennis since the center had demonstrated success with a similar challenge.
“A major benefit for the agency is having a software platform that is agency owned and developed,” said Josh Simmons, White Sands technical upgrades lead. “Stennis is leading the way and the way the system is written and documented, other programmers can jump in, and the way they have it designed, it can continue on and that is key.”
The NASA Stennis team updated its NDAS platform based on input from White Sands personnel to make it more adaptable and to increase data acquisition rates.
“They look to understand the requirements and to develop an application that is flexible to meet everybody’s requirements,” Simmons said. “They are always willing to improve it, to make it more applicable to a wider audience.”
NDAS will be the primary data acquisition and control systems to support testing and development projects related to NASA’s Orion spacecraft.
“I would like to standardize around it here at White Sands,” said Simmons. “I want to show the worth and versatility of NDAS, so people who need it make a choice to use it.”
Meanwhile at NASA’s Marshall Space Flight Center in Huntsville, Alabama, NDAS is used in multiple areas for small-scale, subscale, and full-scale testing.
Devin Rios Ogle is a contractor software engineer at NASA Marshall, responsible for integrating and upgrading the data acquisition system in the testing areas. The system is used to record data on test sequences to verify they happen as intended.
“The visualization of data is really nice compared to other software I have worked with,” said Rios Ogle. “It is easier to see what data you want to see when you want to see it. You select a measurement, and you can see it in graph form, or tabular form, or however you would like. It is visually appealing and very easy to find the stuff you need.”
Rios Ogle is familiar with the database behind the system and understands what the program is trying to do. He particularly noted the modular approach built into the system, which allows users to adapt the software as needed and is a feature others would find beneficial.
Marcus Jackson, a contractor instrumentation and control engineer at NASA Marshall, echoed Ogle’s assessment of NDAS, noting that it has allowed the center to condense multiple systems into a single package that meets the team’s unique needs.
“Ultimately, NDAS provides us with an excellent software package that is built specifically for the kind of work performed here and at other test stands across the United States,” said Jackson. “It is easy to install, manage, and scale up. It doesn’t break, but if you do find a bug or issue, the NDAS team is very quick to respond and help you find a solution.”
NDAS also represents a potential solution for engineers seeking to standardize data systems at NASA’s Langley Research Center in Hampton, Virginia, a use that could positively impact a mission’s ability to make data-informed decisions.
“We are investigating alternatives for standardization at all Langley facilities,” said Scott Simmons, NASA Langley data systems engineer. “Standardization has the potential for significant maintenance cost savings and efficiencies because of the sharing of the software. Having an instance of NDAS available for the dynamic data system at the 8-Foot High Temperature tunnel enables us to evaluate it as a potential solution for standardization at Langley.”
As the nation’s largest hypersonic blow-down test facility, the tunnel duplicates, as near as possible, flight conditions that would be encountered by hypersonic vehicles at up to Mach 6.5, or more than six times the speed of sound.
Even as its use grows, the NASA Stennis-led software project continues to gain momentum as it expands its capabilities and collaboration with users.
“The goal is to provide a software portfolio that supports a wide range of exciting NASA projects, involving lots of talented people that collaborate and innovate new software solutions far into the future,” Mobbs said. “This is a community of innovative, ambitious, and supportive engineers and scientists across all engineering disciplines that are dedicated to advancing NASA’s bold missions.”
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Last Updated May 08, 2025 Related Terms
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By NASA
Editor’s Note: The following is one of three related articles about the NASA Data Acquisition System and related efforts. Please visit Stennis News – NASA to access accompanying articles.
NASA software engineer Brandon Carver updates how the main data acquisition software processes information at NASA’s Stennis Space Center, where he has contributed to the creation of the center’s first-ever open-source software.NASA/Danny Nowlin Syncom Space Services software engineer Shane Cravens, the chief architect behind the first-ever open-source software at NASA’s Stennis Space Center, verifies operation of the site’s data acquisition hardware.NASA/Danny Nowlin NASA’s Stennis Space Center near Bay St. Louis, Mississippi, has released its first-ever open-source software, a peer review tool to facilitate more efficient and collaborative creation of systems applications, such as those used in its frontline government and commercial propulsion test work.
“Everyone knows NASA Stennis as the nation’s premier rocket propulsion test site,” said David Carver, acting chief of the Office of Test Data and Information Management. “We also are engaged in a range of key technology efforts. This latest open-source tool is an exciting example of that work, and one we anticipate will have a positive and widespread impact.”
The new NASA Data Acquisition System Peer Review Tool was developed over several years, built on lessons learned as site developers and engineers created software tools for use across the center’s sprawling test complex. It is designed to simplify and amplify the collaborative review process, allowing developers to build better and more effective software applications.
The new NASA Stennis Peer Review tool was developed using the same software processes that built NDAS. As center engineers and developers created software to monitor and analyze data from rocket propulsion tests, they collaborated with peers to optimize system efficiency. What began as an internal review process ultimately evolved into the open-source code now available to the public.
“We refined it (the peer review tool) over a period of time, and it has improved our process significantly,” said Brandon Carver (no relation), a NASA Stennis software engineer. “In early efforts, we were doing reviews manually, now our tool handles some of these steps for us. It has allowed us to focus more on reviewing key items in our software.”
Developers can improve time, efficiency, and address issues earlier when conducting software code reviews. The result is a better, more productive product.
The NASA Stennis tool is part of the larger NASA Data Acquisition System created at the center to help monitor and collect propulsion test data. It is designed to work with National Instruments LabVIEW, which is widely used by systems engineers and scientists to design applications. LabVIEW is unique in using graphics (visible icon objects) instead of a text-based programming language to create applications. The graphical approach makes it more challenging to compare codes in a review process.
“You cannot compare your code in the same way you do with a text-based language,” Brandon Carver said. “Our tool offers a process that allows developers to review these LabVIEW-developed programs and to focus more time on reviewing actual code updates.”
LabVIEW features a comparison tool, but NASA Stennis engineers identified ways they could improve the process, including by automating certain steps. The NASA Stennis tool makes it easier to post comments, pictures, and other elements in an online peer review to make discussions more effective.
The result is what NASA Stennis developers hope is a more streamlined, efficient process. “It really optimizes your time and provides everything you need to focus on right in front of you,” Brandon Carver said. “That’s why we wanted to open source this because when we were building the tool, we did not see anything like it, or we did not see anything that had features that we have.”
“By providing it to the open-source community, they can take our tool, find better ways of handling things, and refine it,” Brandon Carver said. “We want to allow those groups to modify it and become a community around the tool, so it is continuously improved. Ultimately, a peer review is to make stronger software or a stronger product and that is also true for this peer review tool.
“It is a good feeling to be part of the process and to see something created at the center now out in the larger world across the agency,” Brandon Carver said. “It is pretty exciting to be able to say that you can go get this software we have written and used,” he acknowledged. “NASA engineers have done this. I hope we continue to do it.”
To access the peer review tool developed at NASA Stennis, visit NASA GitHub.
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Last Updated May 08, 2025 EditorNASA Stennis CommunicationsContactC. Lacy Thompsoncalvin.l.thompson@nasa.gov / (228) 688-3333LocationStennis Space Center Related Terms
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
The Double Asteroid Redirection Test required extreme precision in mission planning to achieve its mission of impacting an asteroid. The founders of Continuum Space worked on astrodynamics relating to this mission, which they used to inform their product.NASA Planning space missions is a very involved process, ensuring orbits are lined up and spacecraft have enough fuel is imperative to the long-term survival of orbital assets. Continuum Space Systems Inc. of Pasadena, California, produces a cloud-based platform that gives mission planners everything they need to certify that their space resources can accomplish their goals.
Continuum’s story begins at NASA’s Jet Propulsion Laboratory in Southern California. Loic Chappaz, the company’s co-founder, started at JPL as an intern working on astrodynamics related to NASA’s Double Asteroid Redirection Test. There he met Leon Alkalai, a JPL technical fellow who spent his 30-year career at the center planning deep space missions. After Alkalai retired from NASA, he founded Mandala Space Ventures, a startup that explored several avenues of commercial space development. Chappaz soon became Mandala’s first employee, but to plan their future, Mandala’s leadership began thinking about the act of planning itself.
Because the staff had decades of combined experience at JPL, they knew the center had the building blocks for the software they needed. After licensing several pieces of software from JPL, the company began building planning systems that were highly adaptable to any space mission they could come up with. Mandala eventually evolved into a venture firm that incubated space-related startups. However, because Mandala had invested considerably in developing mission-planning tools, further development could be performed by a new company, and Continuum was fully spun off from Mandala in 2021.
Continuum’s platform includes several features for mission planners, such as plotting orbital maneuvers and risk management evaluations. Some of these are built upon software licensed from the Jet Propulsion Laboratory.Continuum Space Systems Inc. Continuum’s tools are designed to take a space mission from concept to completion. There are three different components to their “mission in a box” — design, build and test, and mission operations. The base of these tools are several pieces of software developed at NASA. As of 2024, several space startups have begun planning missions with Continuum’s NASA-inspired software, as well as established operators of satellite constellations. From Continuum to several startups, NASA technologies continue to prove a valuable foundation for the nation’s space economy.
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Last Updated Mar 25, 2025 Related Terms
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Jeremy Frank, left, and Caleb Adams, right, discuss software developed by NASA’s Distributed Spacecraft Autonomy project. The software runs on spacecraft computers, currently housed on a test rack at NASA’s Ames Research Center in California’s Silicon Valley, and depicts a spacecraft swarm virtually flying in lunar orbit to provide autonomous position navigation and timing services at the Moon. NASA/Brandon Torres Navarrete Talk amongst yourselves, get on the same page, and work together to get the job done! This “pep talk” roughly describes how new NASA technology works within satellite swarms. This technology, called Distributed Spacecraft Autonomy (DSA), allows individual spacecraft to make independent decisions while collaborating with each other to achieve common goals – all without human input.
NASA researchers have achieved multiple firsts in tests of such swarm technology as part of the agency’s DSA project. Managed at NASA’s Ames Research Center in California’s Silicon Valley, the DSA project develops software tools critical for future autonomous, distributed, and intelligent swarms that will need to interact with each other to achieve complex mission objectives.
“The Distributed Spacecraft Autonomy technology is very unique,” said Caleb Adams, DSA project manager at NASA Ames. “The software provides the satellite swarm with the science objective and the ‘smarts’ to get it done.”
What Are Distributed Space Missions?
Distributed space missions rely on interactions between multiple spacecraft to achieve mission goals. Such missions can deliver better data to researchers and ensure continuous availability of critical spacecraft systems.
Typically, spacecraft in swarms are individually commanded and controlled by mission operators on the ground. As the number of spacecraft and the complexity of their tasks increase to meet new constellation mission designs, “hands-on” management of individual spacecraft becomes unfeasible.
Distributing autonomy across a group of interacting spacecraft allows for all spacecraft in a swarm to make decisions and is resistant to individual spacecraft failures.
The DSA team advanced swarm technology through two main efforts: the development of software for small spacecraft that was demonstrated in space during NASA’s Starling mission, which involved four CubeSat satellites operating as a swarm to test autonomous collaboration and operation with minimal human operation, and a scalability study of a simulated spacecraft swarm in a virtual lunar orbit.
Experimenting With DSA in Low Earth Orbit
The team gave Starling a challenging job: a fast-paced study of Earth’s ionosphere – where Earth’s atmosphere meets space – to show the swarm’s ability to collaborate and optimize science observations. The swarm decided what science to do on their own with no pre-programmed science observations from ground operators.
“We did not tell the spacecraft how to do their science,” said Adams. “The DSA team figured out what science Starling did only after the experiment was completed. That has never been done before and it’s very exciting!”
The accomplishments of DSA onboard Starling include the first fully distributed autonomous operation of multiple spacecraft, the first use of space-to-space communications to autonomously share status information between multiple spacecraft, the first demonstration of fully distributed reactive operations onboard multiple spacecraft, the first use of a general-purpose automated reasoning system onboard a spacecraft, and the first use of fully distributed automated planning onboard multiple spacecraft.
During the demonstration, which took place between August 2023 and May 2024, Starling’s swarm of spacecraft received GPS signals that pass through the ionosphere and reveal interesting – often fleeting – features for the swarm to focus on. Because the spacecraft constantly change position relative to each other, the GPS satellites, and the ionospheric environment, they needed to exchange information rapidly to stay on task.
Each Starling satellite analyzed and acted on its best results individually. When new information reached each spacecraft, new observation and action plans were analyzed, continuously enabling the swarm to adapt quickly to changing situations.
“Reaching the project goal of demonstrating the first fully autonomous distributed space mission was made possible by the DSA team’s development of distributed autonomy software that allowed the spacecraft to work together seamlessly,” Adams continued.
Caleb Adams, Distributed Spacecraft Autonomy project manager, monitors testing alongside the test racks containing 100 spacecraft computers at NASA’s Ames Research Center in California’s Silicon Valley. The DSA project develops and demonstrates software to enhance multi-spacecraft mission adaptability, efficiently allocate tasks between spacecraft using ad-hoc networking, and enable human-swarm commanding of distributed space missions. NASA/Brandon Torres Navarrete Scaling Up Swarms in Virtual Lunar Orbit
The DSA ground-based scalability study was a simulation that placed virtual small spacecraft and rack-mounted small spacecraft flight computers in virtual lunar orbit. This simulation was designed to test the swarm’s ability to provide position, navigation, and timing services at the Moon. Similar to what the GPS system does on Earth, this technology could equip missions to the Moon with affordable navigation capabilities, and could one day help pinpoint the location of objects or astronauts on the lunar surface.
The DSA lunar Position, Navigation, and Timing study demonstrated scalability of the swarm in a simulated environment. Over a two-year period, the team ran close to one hundred tests of more complex coordination between multiple spacecraft computers in both low- and high-altitude lunar orbit and showed that a swarm of up to 60 spacecraft is feasible.
The team is further developing DSA’s capabilities to allow mission operators to interact with even larger swarms – hundreds of spacecraft – as a single entity.
Distributed Spacecraft Autonomy’s accomplishments mark a significant milestone in advancing autonomous distributed space systems that will make new types of science and exploration possible.
NASA Ames leads the Distributed Spacecraft Autonomy and Starling projects. NASA’s Game Changing Development program within the agency’s Space Technology Mission Directorate provides funding for the DSA experiment. NASA’s Small Spacecraft Technology program within the Space Technology Mission Directorate funds and manages the Starling mission and the DSA project.
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Last Updated Feb 04, 2025 Related Terms
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By NASA
3 min read
NASA’s Cloud-based Confluence Software Helps Hydrologists Study Rivers on a Global Scale
The Paraná River in northern Argentina. Confluence, which is open-source and free to use, allows researchers to estimate river discharge and suspended sediment levels in Earth’s rivers at a global scale. NASA/ISS Rivers and streams wrap around Earth in complex networks millions of miles long, driving trade, nurturing ecosystems, and stocking critical reserves of freshwater.
But the hydrologists who dedicate their professional lives to studying this immense web of waterways do so with a relatively limited set of tools. Around the world, a patchwork of just 3,000 or so river gauge stations supply regular, reliable data, making it difficult for hydrologists to detect global trends.
“The best way to study a river,” said Colin Gleason, Armstrong Professional Development Professor of Civil and Environmental Engineering at the University of Massachusetts, Amherst, “is to get your feet wet and visit it yourself. The second best way to study a river is to use a river gauge.”
Now, thanks to Gleason and a team of more than 30 researchers, there’s another option: ‘Confluence,’ an analytic collaborative framework that leverages data from NASA’s Surface Water and Ocean Topography (SWOT) mission and the Harmonized Landsat Sentinel-2 archive (HLS) to estimate river discharge and suspended sediment levels in every river on Earth wider than 50 meters. NASA’s Physical Oceanography Distributed Active Archive Center (PO.DAAC) hosts the software, making it open-source and free for users around the world.
By incorporating both altimetry data from SWOT which informs discharge estimates, and optical data from HLS, which informs estimates of suspended sediment data, Confluence marks the first time hydrologists can create timely models of river size and water quality at a global scale. Compared to existing workflows for estimating suspended sediment using HLS data, Confluence is faster by a factor of 30.
I can’t do global satellite hydrology without this system. Or, I could, but it would be extremely time consuming and expensive.
Colin Gleason
Nikki Tebaldi, a Cloud Adoption Engineer at NASA’s Jet Propulsion Laboratory (JPL) and Co-Investigator for Confluence, was the lead developer on this project. She said that while the individual components of Confluence have been around for decades, bringing them together within a single, cloud-based processing pipeline was a significant challenge.
“I’m really proud that we’ve pieced together all of these different algorithms, got them into the cloud, and we have them all executing commands and working,” said Tebaldi.
Suresh Vannan, former manager of PO.DAAC and a Co-Investigator for Confluence, said this new ability to produce timely, global estimates of river discharge and quality will have a huge impact on hydrological models assessing everything from the health of river ecosystems to snowmelt.
“There are a bunch of science applications that river discharge can be used for, because it’s pretty much taking a snapshot of what the river looks like, how it behaves. Producing that snapshot on a global scale is a game changer,” said Vannan.
While the Confluence team is still working with PO.DAAC to complete their software package, users can currently access the Confluence source code here. For tutorials, manuals, and other user guides, visit the PO.DAAC webpage here.
All of these improvements to the original Confluence algorithms developed for SWOT were made possible by NASA’s Advanced Intelligent Systems Technology (AIST) program, a part of the agency’s Earth Science Technology Office (ESTO), in collaboration with SWOT and PO.DAAC.
To learn more about opportunities to develop next-generation technologies for studying Earth from outer space, visit ESTO’s solicitation page here.
Project Lead: Colin Gleason / University of Massachusetts, Amherst
Sponsoring Organization: Advanced Intelligent Systems Technology program, within NASA’s Earth Science Technology Office
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Last Updated Feb 04, 2025 Related Terms
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