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By NASA
5 min read
How NASA’s SPHEREx Mission Will Share Its All-Sky Map With the World
NASA’s SPHEREx mission will map the entire sky in 102 different wavelengths, or colors, of infrared light. This image of the Vela Molecular Ridge was captured by SPHEREx and is part of the mission’s first ever public data release. The yellow patch on the right side of the image is a cloud of interstellar gas and dust that glows in some infrared colors due to radiation from nearby stars. NASA/JPL-Caltech NASA’s newest astrophysics space telescope launched in March on a mission to create an all-sky map of the universe. Now settled into low-Earth orbit, SPHEREx (Spectro-Photometer for the History of the Universe, Epoch of Reionization, and Ices Explorer) has begun delivering its sky survey data to a public archive on a weekly basis, allowing anyone to use the data to probe the secrets of the cosmos.
“Because we’re looking at everything in the whole sky, almost every area of astronomy can be addressed by SPHEREx data,” said Rachel Akeson, the lead for the SPHEREx Science Data Center at IPAC. IPAC is a science and data center for astrophysics and planetary science at Caltech in Pasadena, California.
Almost every area of astronomy can be addressed by SPHEREx data.
Rachel Akeson
SPHEREx Science Data Center Lead
Other missions, like NASA’s now-retired WISE (Wide-field Infrared Survey Explorer), have also mapped the entire sky. SPHEREx builds on this legacy by observing in 102 infrared wavelengths, compared to WISE’s four wavelength bands.
By putting the many wavelength bands of SPHEREx data together, scientists can identify the signatures of specific molecules with a technique known as spectroscopy. The mission’s science team will use this method to study the distribution of frozen water and organic molecules — the “building blocks of life” — in the Milky Way.
This animation shows how NASA’s SPHEREx observatory will map the entire sky — a process it will complete four times over its two-year mission. The telescope will observe every point in the sky in 102 different infrared wavelengths, more than any other all-sky survey. SPHEREx’s openly available data will enable a wide variety of astronomical studies. Credit: NASA/JPL-Caltech The SPHEREx science team will also use the mission’s data to study the physics that drove the universe’s expansion following the big bang, and to measure the amount of light emitted by all the galaxies in the universe over time. Releasing SPHEREx data in a public archive encourages far more astronomical studies than the team could do on their own.
“By making the data public, we enable the whole astronomy community to use SPHEREx data to work on all these other areas of science,” Akeson said.
NASA is committed to the sharing of scientific data, promoting transparency and efficiency in scientific research. In line with this commitment, data from SPHEREx appears in the public archive within 60 days after the telescope collects each observation. The short delay allows the SPHEREx team to process the raw data to remove or flag artifacts, account for detector effects, and align the images to the correct astronomical coordinates.
The team publishes the procedures they used to process the data alongside the actual data products. “We want enough information in those files that people can do their own research,” Akeson said.
One of the early test images captured by NASA’s SPHEREx mission in April 2025. This image shows a section of sky in one infrared wavelength, or color, that is invisible to the human eye but is represented here in a visible color. This particular wavelength (3.29 microns) reveals a cloud of dust made of a molecule similar to soot or smoke. NASA/JPL-Caltech This image from NASA’s SPHEREx shows the same region of space in a different infrared wavelength (0.98 microns), once again represented by a color that is visible to the human eye. The dust cloud has vanished because the molecules that make up the dust — polycyclic aromatic hydrocarbons — do not radiate light in this color. NASA/JPL-Caltech
During its two-year prime mission, SPHEREx will survey the entire sky twice a year, creating four all-sky maps. After the mission reaches the one-year mark, the team plans to release a map of the whole sky at all 102 wavelengths.
In addition to the science enabled by SPHEREx itself, the telescope unlocks an even greater range of astronomical studies when paired with other missions. Data from SPHEREx can be used to identify interesting targets for further study by NASA’s James Webb Space Telescope, refine exoplanet parameters collected from NASA’s TESS (Transiting Exoplanet Survey Satellite), and study the properties of dark matter and dark energy along with ESA’s (European Space Agency’s) Euclid mission and NASA’s upcoming Nancy Grace Roman Space Telescope.
The SPHEREx mission’s all-sky survey will complement data from other NASA space telescopes. SPHEREx is illustrated second from the right. The other telescope illustrations are, from left to right: the Hubble Space Telescope, the retired Spitzer Space Telescope, the retired WISE/NEOWISE mission, the James Webb Space Telescope, and the upcoming Nancy Grace Roman Space Telescope. NASA/JPL-Caltech The IPAC archive that hosts SPHEREx data, IRSA (NASA/IPAC Infrared Science Archive), also hosts pointed observations and all-sky maps at a variety of wavelengths from previous missions. The large amount of data available through IRSA gives users a comprehensive view of the astronomical objects they want to study.
“SPHEREx is part of the entire legacy of NASA space surveys,” said IRSA Science Lead Vandana Desai. “People are going to use the data in all kinds of ways that we can’t imagine.”
NASA’s Office of the Chief Science Data Officer leads open science efforts for the agency. Public sharing of scientific data, tools, research, and software maximizes the impact of NASA’s science missions. To learn more about NASA’s commitment to transparency and reproducibility of scientific research, visit science.nasa.gov/open-science. To get more stories about the impact of NASA’s science data delivered directly to your inbox, sign up for the NASA Open Science newsletter.
By Lauren Leese
Web Content Strategist for the Office of the Chief Science Data Officer
More About SPHEREx
The SPHEREx mission is managed by NASA’s Jet Propulsion Laboratory for the agency’s Astrophysics Division within the Science Mission Directorate at NASA Headquarters. BAE Systems in Boulder, Colorado, built the telescope and the spacecraft bus. The science analysis of the SPHEREx data will be conducted by a team of scientists located at 10 institutions in the U.S., two in South Korea, and one in Taiwan. Caltech in Pasadena managed and integrated the instrument. The mission’s principal investigator is based at Caltech with a joint JPL appointment. Data will be processed and archived at IPAC at Caltech. The SPHEREx dataset will be publicly available at the NASA-IPAC Infrared Science Archive. Caltech manages JPL for NASA.
To learn more about SPHEREx, visit:
https://nasa.gov/SPHEREx
Media Contacts
Calla Cofield
Jet Propulsion Laboratory, Pasadena, Calif.
626-808-2469
calla.e.cofield@jpl.nasa.gov
Amanda Adams
Office of the Chief Science Data Officer
256-683-6661
amanda.m.adams@nasa.gov
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Last Updated Jul 02, 2025 Related Terms
Open Science Astrophysics Galaxies Jet Propulsion Laboratory SPHEREx (Spectro-Photometer for the History of the Universe and Ices Explorer) The Search for Life The Universe Explore More
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By European Space Agency
Astronomers have discovered a huge filament of hot gas bridging four galaxy clusters. At 10 times as massive as our galaxy, the thread could contain some of the Universe’s ‘missing’ matter, addressing a decades-long mystery.
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By NASA
NASA named Stanford University of California winner of the Lunar Autonomy Challenge, a six-month competition for U.S. college and university student teams to virtually map and explore using a digital twin of NASA’s In-Situ Resource Utilization Pilot Excavator (IPEx).
The winning team successfully demonstrated the design and functionality of their autonomous agent, or software that performs specified actions without human intervention. Their agent autonomously navigated the IPEx digital twin in the virtual lunar environment, while accurately mapping the surface, correctly identifying obstacles, and effectively managing available power.
Lunar simulation developed by the winning team of the Lunar Autonomy Challenge’s first place team from Stanford University.Credit: Stanford University’s NAV Lab team Lunar simulation developed by the winning team of the Lunar Autonomy Challenge’s first place team from Stanford University.Credit: Stanford University’s NAV Lab team Team photo of NAV Lab Lunar Autonomy Challenge from Stanford UniversityCredit: Stanford University’s NAV Lab team The Lunar Autonomy Challenge has been a truly unique experience. The challenge provided the opportunity to develop and test methods in a highly realistic simulation environment."
Adam dai
Lunar Autonomy Challenge team lead, Stanford University
Dai added, “It pushed us to find solutions robust to the harsh conditions of the lunar surface. I learned so much through the challenge, both about new ideas and methods, as well as through deepening my understanding of core methods across the autonomy stack (perception, localization, mapping, planning). I also very much enjoyed working together with my team to brainstorm different approaches and strategies and solve tangible problems observed in the simulation.”
The challenge offered 31 teams a valuable opportunity to gain experience in software development, autonomy, and machine learning using cutting-edge NASA lunar technology. Participants also applied essential skills common to nearly every engineering discipline, including technical writing, collaborative teamwork, and project management.
The Lunar Autonomy Challenge supports NASA’s Lunar Surface Innovation Initiative (LSII), which is part of the Space Technology Mission Directorate. The LSII aims to accelerate technology development and pursue results that will provide essential infrastructure for lunar exploration by collaborating with industry, academia, and other government agencies.
The work displayed by all of these teams has been impressive, and the solutions they have developed are beneficial to advancing lunar and Mars surface technologies as we prepare for increasingly complex missions farther from home.”
Niki Werkheiser
Director of Technology Maturation and LSII lead, NASA Headquarters
“To succeed, we need input from everyone — every idea counts to propel our goals forward. It is very rewarding to see these students and software developers contributing their skills to future lunar and Mars missions,” Werkheiser added.
Through the Lunar Autonomy Challenge, NASA collaborated with the Johns Hopkins Applied Physics Laboratory, Caterpillar Inc., and Embodied AI. Each team contributed unique expertise and tools necessary to make the challenge a success.
The Applied Physics Laboratory managed the challenge for NASA. As a systems integrator for LSII, they provided expertise to streamline rigor and engineering discipline across efforts, ensuring the development of successful, efficient, and cost-effective missions — backed by the world’s largest cohort of lunar scientists.
Caterpillar Inc. is known for its construction and excavation equipment and operates a large fleet of autonomous haul trucks. They also have worked with NASA for more than 20 years on a variety of technologies, including autonomy, 3D printing, robotics, and simulators as they continue to collaborate with NASA on technologies that support NASA’s mission objectives and provide value to the mining and construction industries.
Embodied AI collaborated with Caterpillar to integrate the simulation into the open-source driving environment used for the challenge. For the Lunar Autonomy Challenge, the normally available digital assets of the CARLA simulation platform, such as urban layouts, buildings, and vehicles, were replaced by an IPEx “Digital Twin” and lunar environmental models.
“This collaboration is a great example of how the government, large companies, small businesses, and research institutions can thoughtfully leverage each other’s different, but complementary, strengths,” Werkheiser added. “By substantially modernizing existing tools, we can turn today’s novel technologies into tomorrow’s institutional capabilities for more efficient and effective space exploration, while also stimulating innovation and economic growth on Earth.”
FINALIST TEAMS
First Place
NAV Lab team
Stanford University, Stanford, California
Second Place
MAPLE (MIT Autonomous Pathfinding for Lunar Exploration) team
Massachusetts Institute of Technology, Cambridge, MA
Third Place
Moonlight team
Carnegie Mellon University, Pittsburgh, PA
OTHER COMPETING TEAMS
Lunar ExplorersArizona State UniversityTempe, ArizonaAIWVU West Virginia University Morgantown, West VirginiaStellar Sparks California Polytechnic Institute Pomona Pomona, California LunatiX Johns Hopkins University Whiting School of EngineeringBaltimore CARLA CSU California State University, Stanislaus Turlock, CaliforniaRose-Hulman Rose-Hulman Institute of Technology Terre Haute, IndianaLunar PathfindersAmerican Public University SystemCharles Town, West Virginia Lunar Autonomy Challenge digital simulation of lunar surface activity using a digital twin of NASA’s ISRU Pilot ExcavatorJohns Hopkins Applied Physics Laboratory Keep Exploring Discover More Topics From NASA
Space Technology Mission Directorate
NASA’s Lunar Surface Innovation Initiative
Game Changing Development Projects
Game Changing Development projects aim to advance space technologies, focusing on advancing capabilities for going to and living in space.
ISRU Pilot Excavator
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By NASA
6 min read
NASA Data Helps Map Tiny Plankton That Feed Giant Right Whales
This North Atlantic right whale, named “Bowtie,” was spotted feeding in southern Maine waters in January 2025. A new technique aims to use NASA satellite data to see the plankton these whales depend on from space. Credit: New England Aquarium, taken under NMFS permit # 25739 In the waters off New England, one of Earth’s rarest mammals swims slowly, mouth agape. The North Atlantic right whale filters clouds of tiny reddish zooplankton — called Calanus finmarchicus — from the sea. These zooplankton, no bigger than grains of rice, are the whale’s lifeline. Only about 370 of these massive creatures remain.
For decades, tracking the tiny plankton meant sending research vessels out in the ocean, towing nets and counting samples by hand. Now, scientists are looking from above instead.
Using NASA satellite data, researchers found a way to detect Calanus swarms at the ocean surface in the Gulf of Maine, picking up on the animals’ natural red pigment. This early-stage approach, described in a new study, may help researchers better estimate where the copepods gather, and where whales might follow.
Tracking the zooplankton from space could aid both the whales and maritime industries. By predicting where these mammals are likely to feed, researchers and marine resource managers hope to reduce deadly vessel strikes and fishing gear entanglements — two major threats to the species. Knowing the feeding patterns could also help shipping and fishing industries operate more efficiently.
Calanus finmarchicus, a tiny zooplankton powering North Atlantic food webs, fuels right whale populations with its energy-rich lipid reserves. Credit: Cameron Thompson “NASA invests in this kind of research because it connects space-based observation with real-world challenges,” said Cynthia Hall, a support scientist at NASA headquarters in Washington. She works with the Early Career Research Program, which partly funded the work. “It’s yet another a way to put NASA satellite data to work for science, communities, and ecosystems.”
Revealing the Ocean’s Hidden Patterns
The new approach uses data from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard NASA’s Aqua satellite. The MODIS instrument doesn’t directly see the copepods themselves. Instead, it reads how the spectrum of sunlight reflected from the ocean surface changes in response to what’s in the water.
When large numbers of the zooplankton rise to the surface, their reddish pigment — astaxanthin, the same compound that gives salmon its pink color — subtly alters how photons, or particles of light, from the sun are absorbed or scattered in the water. The fate of these photons in the ocean depends on the mix of living and non-living matter in seawater, creating a slight shift in color that MODIS can detect.
“We didn’t know to look for Calanus before in this way,” said Catherine Mitchell, a satellite oceanographer at Bigelow Laboratory for Ocean Sciences in East Boothbay, Maine. “Remote sensing has typically focused on smaller things like phytoplankton. But recent research suggested that larger, millimeter-sized organisms like zooplankton can also influence ocean color.”
A few years ago, researchers piloted a satellite method for detecting copepods in Norwegian waters. Now, some of those same scientists — along with Mitchell’s team — have refined the approach and applied it to the Gulf of Maine, a crucial feeding ground for right whales during their northern migration. By combining satellite data, a model, and field measurements, they produced enhanced images that revealed Calanus swarms at the sea surface, and were able to estimate numbers of the tiny animals.
“We know the right whales are using habitats we don’t fully understand,” said Rebekah Shunmugapandi, also a satellite oceanographer at Bigelow and the study’s lead author. “This satellite-based Calanus information could eventually help identify unknown feeding grounds or better anticipate where whales might travel.”
Tracking Elusive Giants
Despite decades of study, North Atlantic right whales remain remarkably enigmatic to scientists. Once fairly predictable in their movements along the Eastern Seaboard of North America, these massive mammals began abandoning some traditional feeding grounds in 2010-2011. Their sudden shift to unexpected areas like the Gulf of Saint Lawrence caught people off guard, with deadly consequences.
“We’ve had whales getting hit by ships and whales getting stuck in fishing gear,” said Laura Ganley, a research scientist in the Anderson Cabot Center for Ocean Life at the New England Aquarium in Boston, which conducts aerial and boat surveys of the whales.
In 2017, the National Oceanic and Atmospheric Administration designated the situation as an “unusual mortality event” in an effort to address the whales’ decline. Since then, 80 North Atlantic right whales have been killed or sustained serious injuries, according to NOAA.
NASA satellite imagery from June 2009 was used to test a new method for detecting the copepod Calanus finmarchicus in the Gulf of Maine and estimating their numbers from space. Credit: NASA Earth Observatory image by Wanmei Liang, using data from Shunmugapandi, R., et al. (2025) In the Gulf of Maine, there’s less shipping activity, but there can be a complex patchwork of lobster fishing gear, said Sarah Leiter, a scientist with the Maine Department of Marine Resources. “Each fisherman has 800 traps or so,” Leiter explained. “If a larger number of whales shows up suddenly, like they just did in January 2025, it is challenging. Fishermen need time and good weather to adjust that gear.”
What excites Leiter the most about the satellite data is the potential to use it in a forecasting tool to help predict where the whales could go. “That would be incredibly useful in giving us that crucial lead time,” she said.
PACE: The Next Generation of Ocean Observer
For now, the Calanus-tracking method has limitations. Because MODIS detects the copepods’ red pigment, not the animals themselves, that means other small, reddish organisms can be mistaken for the zooplankton. And cloud cover, rough seas, or deeper swarms all limit what satellites can spot.
MODIS is also nearing the end of its operational life. But NASA’s next-generation PACE (Plankton, Aerosol, Cloud, ocean Ecosystem) satellite — launched in 2024 — is poised to make dramatic improvements in the detection of zooplankton and phytoplankton.
NASA’s Ocean Color Instrument on the PACE satellite captured these swirling green phytoplankton blooms in the Gulf of Maine in April 2024. Such blooms fuel zooplankton like Calanus finmarchicus. Credit: NASA “The PACE satellite will definitely be able to do this, and maybe even something better,” said Bridget Seegers, an oceanographer and mission scientist with the PACE team at NASA’s Goddard Space Flight Center in Greenbelt, Maryland.
The PACE mission includes the Ocean Color Instrument, which detects more than 280 wavelengths of light. That’s a big jump from the 10 wavelengths seen by MODIS. More wavelengths mean finer detail and better insights into ocean color and the type of plankton that the satellite can spot.
Local knowledge of seasonal plankton patterns will still be essential to interpret the data correctly. But the goal isn’t perfect detection, the scientists say, but rather to provide another tool to inform decision-making, especially when time or resources are limited.
By Emily DeMarco
NASA Headquarters
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Last Updated May 05, 2025 Editor Emily DeMarco Related Terms
Earth Moderate Resolution Imaging Spectroradiometer (MODIS) Oceans PACE (Plankton, Aerosol, Cloud, Ocean Ecosystem) Explore More
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