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By NASA
1 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
On April 16, 2025, the Earth Science Division at NASA’s Ames Research Center in Silicon Valley held an Earth Science Showcase to share its work with the center and their families. As part of this event, kids were invited to share something they like about the Earth. These are their masterpieces.
Sora U. Age 9. “Wildlife”
Sora U. Age 9. “Wildlife” Wesley P. Age 2.5. “Pale Blue”
Wesley P. Age 2.5. “Pale Blue” Kira U. Age 5. “Hawaii”
Kira U. Age 5. “Hawaii” Anonymous. “eARTh”
Anonymous. “eARTh” Brooks P. Age 8mo. “Squiggles”
Brooks P. Age 8mo. “Squiggles” About the Author
Milan Loiacono
Science Communication SpecialistMilan Loiacono is a science communication specialist for the Earth Science Division at NASA Ames Research Center.
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Last Updated Apr 25, 2025 Related Terms
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By NASA
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA’s Curiosity rover appears as a dark speck in this contrast-enhanced view captured on Feb. 28, 2025, by the HiRISE camera aboard NASA’s Mars Reconnaissance Orbiter. Trailing Curiosity are the rover’s tracks, which can linger on the Martian surface for months before being erased by the wind. NASA/JPL-Caltech/University of Arizona The image marks what may be the first time one of the agency’s Mars orbiters has captured the rover driving.
NASA’s Curiosity Mars rover has never been camera shy, having been seen in selfies and images taken from space. But on Feb. 28 — the 4,466th Martian day, or sol, of the mission — Curiosity was captured in what is believed to be the first orbital image of the rover mid-drive across the Red Planet.
Taken by the HiRISE (High-Resolution Imaging Science Experiment) camera aboard NASA’s Mars Reconnaissance Orbiter, the image shows Curiosity as a dark speck at the front of a long trail of rover tracks. Likely to last for months before being erased by wind, the tracks span about 1,050 feet (320 meters). They represent roughly 11 drives starting on Feb. 2 as Curiosity trucked along at a top speed of 0.1 mph (0.16 kph) from Gediz Vallis channel on the journey to its next science stop: a region with potential boxwork formations, possibly made by groundwater billions of years ago.
How quickly the rover reaches the area depends on a number of factors, including how its software navigates the surface and how challenging the terrain is to climb. Engineers at NASA’s Jet Propulsion Laboratory in Southern California, which leads Curiosity’s mission, work with scientists to plan each day’s trek.
“By comparing the time HiRISE took the image to the rover’s commands for the day, we can see it was nearly done with a 69-foot drive,” said Doug Ellison, Curiosity’s planning team chief at JPL.
Designed to ensure the best spatial resolution, HiRISE takes an image with the majority of the scene in black and white and a strip of color down the middle. While the camera has captured Curiosity in color before, this time the rover happened to fall within the black-and-white part of the image.
In the new image, Curiosity’s tracks lead to the base of a steep slope. The rover has since ascended that slope since then, and it is expected to reach its new science location within a month or so.
More About Curiosity and MRO
NASA’s Curiosity Mars rover was built at JPL, which is managed for the agency by Caltech in Pasadena, California. JPL manages both the Curiosity and Mars Reconnaissance Orbiter missions on behalf of NASA’s Science Mission Directorate in Washington as part of the agency’s Mars Exploration Program portfolio. The University of Arizona, in Tucson, operates HiRISE, which was built by BAE Systems in Boulder, Colorado.
For more about the missions, visit:
science.nasa.gov/mission/msl-curiosity
science.nasa.gov/mission/mars-reconnaissance-orbiter
News Media Contacts
Andrew Good
Jet Propulsion Laboratory, Pasadena, Calif.
818-393-2433
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Karen Fox / Molly Wasser
NASA Headquarters, Washington
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Last Updated Apr 24, 2025 Related Terms
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5 min read Eye on Infinity: NASA Celebrates Hubble’s 35th Year in Orbit
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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA’s AVIRIS-3 airborne imaging spectrometer was used to map a wildfire near Cas-tleberry, Alabama, on March 19. Within minutes, the image was transmitted to firefighters on the ground, who used it to contain the blaze. NASA/JPL-Caltech, NASA Earth Observatory The map visualizes three wavelengths of infrared light, which are invisible to the human eye. Orange and red areas show cooler-burning areas, while yellow indicates the most intense flames. Burned areas show up as dark red or brown.NASA/JPL-Caltech, NASA Earth Observatory Data from the AVIRIS-3 sensor was recently used to create detailed fire maps in minutes, enabling firefighters in Alabama to limit the spread of wildfires and save buildings.
A NASA sensor recently brought a new approach to battling wildfire, providing real-time data that helped firefighters in the field contain a blaze in Alabama. Called AVIRIS-3, which is short for Airborne Visible Infrared Imaging Spectrometer 3, the instrument detected a 120-acre fire on March 19 that had not yet been reported to officials.
As AVIRIS-3 flew aboard a King Air B200 research plane over the fire about 3 miles (5 kilometers) east of Castleberry, Alabama, a scientist on the plane analyzed the data in real time and identified where the blaze was burning most intensely. The information was then sent via satellite internet to fire officials and researchers on the ground, who distributed images showing the fire’s perimeter to firefighters’ phones in the field.
All told, the process from detection during the flyover to alert on handheld devices took a few minutes. In addition to pinpointing the location and extent of the fire, the data showed firefighters its perimeter, helping them gauge whether it was likely to spread and decide where to add personnel and equipment.
As firefighters worked to prevent a wildfire near Perdido, Alabama, from reaching nearby buildings, they saw in an infrared fire map from NASA’s AVIRIS-3 sensor that showed the fire’s hot spot was inside its perimeter. With that intelligence, they shifted some resources to fires in nearby Mount Vernon.NASA/JPL-Caltech, NASA Earth Observatory “This is very agile science,” said Robert Green, the AVIRIS program’s principal investigator and a senior research scientist at NASA’s Jet Propulsion Laboratory in Southern California, noting AVIRIS-3 mapped the burn scar left near JPL by the Eaton Fire in January.
Observing the ground from about 9,000 feet (3,000 meters) in altitude, AVIRIS-3 flew aboard several test flights over Alabama, Mississippi, Florida, and Texas for a NASA 2025 FireSense Airborne Campaign. Researchers flew in the second half of March to prepare for prescribed burn experiments that took place in the Geneva State Forest in Alabama on March 28 and at Fort Stewart-Hunter Army Airfield in Georgia from April 14 to 20. During the March span, the AVIRIS-3 team mapped at least 13 wildfires and prescribed burns, as well as dozens of small hot spots (places where heat is especially intense) — all in real time.
At one of the Mount Vernon, Alabama, fires, firefighters used AVIRIS-3 maps to determine where to establish fire breaks beyond the northwestern end of the fire. They ultimately cut the blaze off within about 100 feet (30 meters) of four buildings.NASA/JPL-Caltech, NASA Earth Observatory Data from imaging spectrometers like AVIRIS-3 typically takes days or weeks to be processed into highly detailed, multilayer image products used for research. By simplifying the calibration algorithms, researchers were able to process data on a computer aboard the plane in a fraction of the time it otherwise would have taken. Airborne satellite internet connectivity enabled the images to be distributed almost immediately, while the plane was still in flight, rather than after it landed.
The AVIRIS team generated its first real-time products during a February campaign covering parts of Panama and Costa Rica, and they have continued to improve the process, automating the mapping steps aboard the plane.
‘Fan Favorite’
The AVIRIS-3 sensor belongs to a line of imaging spectrometers built at JPL since 1986. The instruments have been used to study a wide range of phenomena — including fire — by measuring sunlight reflecting from the planet’s surface.
During the March flights, researchers created three types of maps. One, called the Fire Quicklook, combines brightness measurements at three wavelengths of infrared light, which is invisible to the human eye, to identify the relative intensity of burning. Orange and red areas on the Fire Quicklook map show cooler-burning areas, while yellow indicates the most intense flames. Previously burned areas show up as dark red or brown.
Another map type, the Fire 2400 nm Quicklook, looks solely at infrared light at a wavelength of 2,400 nanometers. The images are particularly useful for seeing hot spots and the perimeters of fires, which show brightly against a red background.
A third type of map, called just Quicklook, shows burned areas and smoke.
The Fire 2400 nm Quicklook was the “fan favorite” among the fire crews, said Ethan Barrett, fire analyst for the Forest Protection Division of the Alabama Forestry Commission. Seeing the outline of a wildfire from above helped Alabama Forestry Commission firefighters determine where to send bulldozers to stop the spread.
Additionally, FireSense personnel analyzed the AVIRIS-3 imagery to create digitized perimeters of the fires. This provided firefighters fast, comprehensive intelligence of the situation on the ground.
That’s what happened with the Castleberry Fire. Having a clear picture of where it was burning most intensely enabled firefighters to focus on where they could make a difference — on the northeastern edge.
Then, two days after identifying Castleberry Fire hot spots, the sensor spotted a fire about 4 miles (2.5 kilometers) southwest of Perdido, Alabama. As forestry officials worked to prevent flames from reaching six nearby buildings, they noticed that the fire’s main hot spot was inside the perimeter and contained. With that intelligence, they decided to shift some resources to fires 25 miles (40 kilometers) away near Mount Vernon, Alabama.
To combat one of the Mount Vernon fires, crews used AVIRIS-3 maps to determine where to establish fire breaks beyond the northwestern end of the fire. They ultimately cut the blaze off within about 100 feet (30 meters) of four buildings.
“Fire moves a lot faster than a bulldozer, so we have to try to get around it before it overtakes us. These maps show us the hot spots,” Barrett said. “When I get out of the truck, I can say, ‘OK, here’s the perimeter.’ That puts me light-years ahead.”
AVIRIS and the Firesense Airborne Campaign are part of NASA’s work to leverage its expertise to combat wildfires using solutions including airborne technologies. The agency also recently demonstrated a prototype from its Advanced Capabilities for Emergency Response Operations project that will provide reliable airspace management for drones and other aircraft operating in the air above wildfires.
NASA Helps Spot Wine Grape Disease From Skies Above California News Media Contacts
Andrew Wang / Jane J. Lee
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626-379-6874 / 818-354-0307
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Last Updated Apr 23, 2025 Related Terms
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4 min read Entrepreneurs Challenge Winner PRISM is Using AI to Enable Insights from Geospatial Data
NASA sponsored Entrepreneurs Challenge events in 2020, 2021, and 2023 to invite small business start-ups…
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By NASA
2 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
In our modern wireless world, almost all radio frequency (RF) spectrum bands are shared among multiple users. In some domains, similar users technically coordinate to avoid interference. The spectrum management team, part of NASA’s SCaN (Space Communications and Navigation) Program, represents the collaborative efforts across U.S. agencies and the international community to protect and enable NASA’s current and future spectrum-dependent science, exploration, and innovation.
Coordination with Other Spectrum Stakeholders
NASA works to promote the collaborative use of the RF spectrum around Earth, and beyond. For example, NASA coordinates closely with other U.S. government agencies, international civil space agencies, and the private sector to ensure missions that overlap in time, location, and frequency do not cause or receive interference that could jeopardize their success. The spectrum management team protects NASA’s various uses of the spectrum by collaborating with U.S. and international spectrum users on technical matters that inform regulatory discussions.
As a founding member of the Space Frequency Coordination Group, NASA works with members of governmental space- and science-focused agencies from more than 35 countries. The Space Frequency Coordination Group annual meetings provide a forum for multilateral discussion and consideration of international spectrum regulatory issues related to Earth, lunar, and deep space research and exploration. The Space Frequency Coordination Group also provides a forum for the exchange of technical information to facilitate coordination for specific missions and enable efficient use of limited spectrum resources in space.
Domestic and International Spectrum Regulators
Creating and maintaining the global spectrum regulations that govern spectrum sharing requires collaboration and negotiation among all its diverse users. The International Telecommunication Union manages the global spectrum regulatory framework to optimize the increasing, diverse uses of the RF spectrum and reduce the likelihood of RF systems experiencing interference. U.S. regulators at the National Telecommunications and Information Administration and the Federal Communications Commission are responsible for developing and administering domestic spectrum regulations. Organizations across the world cooperatively plan and regulate spectrum use. The spectrum management team participates on behalf of NASA at both national and international levels to ensure that the U.S. domestic and international spectrum regulatory framework supports and enables NASA’s current and future missions.
NASA collaborates with domestic and international spectrum stakeholders to provide technical expertise on space spectrum topics to ensure regulations continue to enable space exploration, science, and innovation.NASA Share
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Last Updated Apr 23, 2025 Related Terms
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By NASA
4 min read
Entrepreneurs Challenge Winner PRISM is Using AI to Enable Insights from Geospatial Data
PRISM’s platform uses AI segmentation to identify and highlight residential structures in a neighborhood. NASA sponsored Entrepreneurs Challenge events in 2020, 2021, and 2023 to invite small business start-ups to showcase innovative ideas and technologies with the potential to advance the agency’s science goals. To potentially leverage external funding sources for the development of innovative technologies of interest to NASA, SMD involved the venture capital community in Entrepreneurs Challenge events. Challenge winners were awarded prize money, and in 2023 the total Entrepreneurs Challenge prize value was $1M. Numerous challenge winners have subsequently refined their products and/or received funding from NASA and external sources (e.g., other government agencies or the venture capital community) to further develop their technologies.
One 2023 Entrepreneurs Challenge winner, PRISM Intelligence (formerly known as Pegasus Intelligence and Space), is using artificial intelligence (AI) and other advances in computer vision to create a new platform that could provide geospatial insights to a broad community.
Every day, vast amounts of remote sensing data are collected through satellites, drones, and aerial imagery, but for most businesses and individuals, accessing and extracting meaningful insights from this data is nearly impossible.
The company’s product—Personal Real-time Insight from Spatial Maps, a.k.a. PRISM—is transforming geospatial data into an easy-to-navigate, queryable world. By leveraging 3D computer vision, geospatial analytics, and AI-driven insights, PRISM creates photorealistic, up-to-date digital environments that anyone can interact with. Users can simply log in and ask natural-language questions to instantly retrieve insights—no advanced Geographic Information System (GIS) expertise is required.
For example, a pool cleaner looking for business could use PRISM to search for all residential pools in a five-mile radius. A gardener could identify overgrown trees in a community. City officials could search for potholes in their jurisdiction to prioritize repairs, enhance public safety, and mitigate liability risks. This broad level of accessibility brings geospatial intelligence out of the hands of a few and into everyday decision making.
The core of PRISM’s platform uses radiance fields to convert raw 2D imagery into high-fidelity, dynamic 3D visualizations. These models are then enhanced with AI-powered segmentation, which autonomously identifies and labels objects in the environment—such as roads, vehicles, buildings, and natural features—allowing for seamless search and analysis. The integration of machine learning enables PRISM to refine its reconstructions continuously, improving precision with each dataset. This advanced processing ensures that the platform remains scalable, efficient, and adaptable to various data sources, making it possible to produce large-scale, real-time digital twins of the physical world.
The PRISM platform’s interface showcasing a 3D digital twin of California State Polytechnic University, Pomona, with AI-powered search and insights. “It’s great being able to push the state of the art in this relatively new domain of radiance fields, evolving it from research to applications that can impact common tasks. From large sets of images, PRISM creates detailed 3D captures that embed more information than the source pictures.” — Maximum Wilder-Smith, Chief Technology Officer, PRISM Intelligence
Currently the PRISM platform uses proprietary data gathered from aerial imagery over selected areas. PRISM then generates high-resolution digital twins of cities in select regions. The team is aiming to eventually expand the platform to use NASA Earth science data and commercial data, which will enable high-resolution data capture over larger areas, significantly increasing efficiency, coverage, and update frequency. PRISM aims to use the detailed multiband imagery that NASA provides and the high-frequency data that commercial companies provide to make geospatial intelligence more accessible by providing fast, reliable, and up-to-date insights that can be used across multiple industries.
What sets PRISM apart is its focus on usability. While traditional GIS platforms require specialized training to use, PRISM eliminates these barriers by allowing users to interact with geospatial data through a frictionless, conversational interface.
The impact of this technology could extend across multiple industries. Professionals in the insurance and appraisal industries have informed the company how the ability to generate precise, 3D assessments of properties could streamline risk evaluations, reduce costs, and improve accuracy—replacing outdated or manual site visits. Similarly, local governments have indicated they could potentially use PRISM to better manage infrastructure, track zoning compliance, and allocate resources based on real-time, high-resolution urban insights. Additionally, scientists could use the consistent updates and layers of three-dimensional data that PRISM can provide to better understand changes to ecosystems and vegetation.
As PRISM moves forward, the team’s focus remains on scaling its capabilities and expanding its applications. Currently, the team is working to enhance the technical performance of the platform while also adding data sources to enable coverage of more regions. Future iterations will further improve automation of data processing, increasing the speed and efficiency of real-time 3D reconstructions. The team’s goal is to expand access to geospatial insights, ensuring that anyone—from city planners to business owners—can make informed decisions using the best possible data.
PRISM Intelligence founders Zachary Gaines, Hugo Delgado, and Maximum Wilder-Smith in their California State Polytechnic University, Pomona lab, where the company was first formed. Share
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Last Updated Apr 21, 2025 Related Terms
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