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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
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Jet Propulsion Laboratory, Pasadena, Calif.
626-379-6874 / 818-354-0307
andrew.wang@jpl.nasa.gov / jane.j.lee@jpl.nasa.gov
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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
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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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By NASA
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Piloted by NASA’s Tim Williams, the ER-2 science aircraft ascends for one of the final science flights for the GSFC Lidar Observation and Validation Experiment (GLOVE) on Feb. 1, 2025. As a collaboration between engineers, scientists, and aircraft professionals, GLOVE aims to improve satellite data products for Earth Science applications. NASA/Steve Freeman In February, NASA’s ER-2 science aircraft flew instruments designed to improve satellite data products and Earth science observations. From data collection to processing, satellite systems continue to advance, and NASA is exploring how instruments analyzing clouds can improve data measurement methods.
Researchers participating in the Goddard Space Flight Center Lidar Observation and Validation Experiment (GLOVE) used the ER-2 – based at NASA’s Armstrong Flight Research Center in Edwards, California – to validate satellite data about cloud and airborne particles in the Earth’s atmosphere. Scientists are using GLOVE instruments installed onboard the aircraft to measure and validate data about clouds generated by satellite sensors already orbiting in space around Earth.
“The GLOVE data will allow us to test new artificial intelligence algorithms in data processing,” said John Yorks, principal investigator for GLOVE and research physical scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “These algorithms aim to improve the cloud and aerosol detection in data produced by the satellites.”
Jennifer Moore, a researcher from NASA’s Goddard Space Flight Center, checks the cabling on the Roscoe instrument at NASA’s Armstrong Flight Research Center in Edwards, California, for the GSFC Lidar Observation and Validation Experiment (GLOVE) on Feb. 1, 2025. The Roscoe instrument will be uploaded onto NASA’s ER-2 science aircraft.NASA/Steve Freeman The validation provided by GLOVE is crucial because it ensures the accuracy and reliability of satellite data. “The instruments on the plane provide a higher resolution measurement ‘truth’ to ensure the data is a true representation of the atmospheric scene being sampled,” Yorks said.
The ER-2 flew over various parts of Oregon, Arizona, Utah, and Nevada, as well as over the Pacific Ocean off the coast of California. These regions reflected various types of atmospheres, including cirrus clouds, marine stratocumulus, rain and snow, and areas with multiple types of clouds.
“The goal is to improve satellite data products for Earth science applications,” Yorks said. “These measurements allow scientists and decision-makers to confidently use this satellite information for applications like weather forecasting and hazard monitoring.”
Researcher Jackson Begolka from the University of Iowa examines instrument connectors onboard the ER-2 aircraft at NASA’s Armstrong Flight Research Center in Edwards, California, on Feb. 1, 2025. The GLOVE instrument will validate data from satellites orbiting the Earth.NASA/Steve Freeman The four instruments installed on the ER-2 were the Cloud Physics Lidar, the Roscoe Lidar, the enhanced Moderate Resolution Imaging Spectroradiometer Airborne Simulator, and the Cloud Radar System. These instruments validate data produced by sensors on NASA’s Ice, Cloud, and Land Elevation Satellite 2 (ICESat-2) and the Earth Cloud, Aerosol and Radiation Explorer (EarthCARE), a joint venture between the ESA (European Space Agency) and JAXA (Japan Aerospace Exploration Agency).
“Additionally, the EarthCARE satellite is flying the first ever Doppler radar for measurements of air motions within clouds,” Yorks said. While the ER-2 is operated by pilots and aircrew from NASA Armstrong, these instruments are supported by scientists from NASA Goddard, NASA’s Ames Research Center in California’s Silicon Valley, and the Naval Research Laboratory office in Monterey, California, as well as by students from the University of Iowa in Iowa City and the University of Maryland College Park.
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Last Updated Apr 16, 2025 EditorDede DiniusContactErica HeimLocationArmstrong Flight Research Center Related Terms
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By NASA
5 min read
How NASA Science Data Defends Earth from Asteroids
Artist’s impression of NASA’s DART mission, which collided with the asteroid Dimorphos in 2022 to test planetary defense techniques. Open science data practices help researchers identify asteroids that pose a hazard to Earth, opening the possibility for deflection should an impact threat be identified. NASA/Johns Hopkins APL/Steve Gribben The asteroid 2024 YR4 made headlines in February with the news that it had a chance of hitting Earth on Dec. 22, 2032, as determined by an analysis from NASA’s Center for Near Earth Object Studies (CNEOS) at the agency’s Jet Propulsion Laboratory in Southern California. The probability of collision peaked at over 3% on Feb. 18 — the highest ever recorded for an object of its size. This sparked concerns about the damage the asteroid might do should it hit Earth.
New data collected in the following days lowered the probability to well under 1%, and 2024 YR4 is no longer considered a potential Earth impactor. However, the event underscored the importance of surveying asteroid populations to reveal possible threats to Earth. Sharing scientific data widely allows scientists to determine the risk posed by the near-Earth asteroid population and increases the chances of identifying future asteroid impact hazards in NASA science data.
“The planetary defense community realizes the value of making data products available to everyone,” said James “Gerbs” Bauer, the principal investigator for NASA’s Planetary Data System Small Bodies Node at the University of Maryland in College Park, Maryland.
How Scientists Spot Asteroids That Could Hit Earth
Professional scientists and citizen scientists worldwide play a role in tracking asteroids. The Minor Planet Center, which is housed at the Smithsonian Astrophysical Observatory in Cambridge, Massachusetts, collects and verifies vast numbers of asteroid and comet position observations submitted from around the globe. NASA’s Small Bodies Node distributes the data from the Minor Planet Center for anyone who wants to access and use it.
A near-Earth object (NEO) is an asteroid or comet whose orbit brings it within 120 million miles of the Sun, which means it can circulate through Earth’s orbital neighborhood. If a newly discovered object looks like it might be an NEO, information about the object appears on the Minor Planet Center’s NEO Confirmation Page. Members of the planetary science community, whether or not they are professional scientists, are encouraged to follow up on these objects to discover where they’re heading.
The asteroid 2024 YR4 as viewed on January 27, 2025. The image was taken by the Magdalena Ridge 2.4m telescope, one of the largest telescopes in NASA’s Planetary Defense network. Asteroid position information from observations such as this one are shared through the Minor Planet Center and NASA’s Small Bodies Node to help scientists pinpoint the chances of asteroids colliding with Earth. NASA/Magdalena Ridge 2.4m telescope/New Mexico Institute of Technology/Ryan When an asteroid’s trajectory looks concerning, CNEOS alerts NASA’s Planetary Defense Coordination Office at NASA Headquarters in Washington, which manages NASA’s ongoing effort to protect Earth from dangerous asteroids. NASA’s Planetary Defense Coordination Office also coordinates the International Asteroid Warning Network (IAWN), which is the worldwide collaboration of asteroid observers and modelers.
Orbit analysis centers such as CNEOS perform finer calculations to nail down the probability of an asteroid colliding with Earth. The open nature of the data allows the community to collaborate and compare, ensuring the most accurate determinations possible.
How NASA Discovered Risks of Asteroid 2024 YR4
The asteroid 2024 YR4 was initially discovered by the NASA-funded ATLAS (Asteroid Terrestrial-impact Last Alert System) survey, which aims to discover potentially hazardous asteroids. Scientists studied additional data about the asteroid from different observatories funded by NASA and from other telescopes across the IAWN.
At first, 2024 YR4 had a broad uncertainty in its future trajectory that passed over Earth. As the planetary defense community collected more observations, the range of possibilities for the asteroid’s future position on Dec. 22, 2032 clustered over Earth, raising the apparent chances of collision. However, with the addition of even more data points, the cluster of possibilities eventually moved off Earth.
This visualization from NASA’s Center for Near Earth Object Studies shows the evolution of the risk corridor for asteroid 2024 YR4, using data from observations made up to Feb. 23, 2025. Each yellow dot represents the asteroid’s possible location on Dec. 22, 2032. As the range of possible locations narrowed, the dots at first converged on Earth, before skewing away harmlessly. NASA/JPL/CNEOS Having multiple streams of data available for analysis helps scientists quickly learn more about NEOs. This sometimes involves using data from observatories that are mainly used for astrophysics or heliophysics surveys, rather than for tracking asteroids.
“The planetary defense community both benefits from and is beneficial to the larger planetary and astronomy related ecosystem,” said Bauer, who is also a research professor in the Department of Astronomy at the University of Maryland. “Much of the NEO survey data can also be used for searching astrophysical transients like supernova events. Likewise, astrophysical sky surveys produce data of interest to the planetary defense community.”
How Does NASA Stop Asteroids From Hitting Earth?
In 2022, NASA’s DART (Double Asteroid Redirection Test) mission successfully impacted with the asteroid Dimorphos, shortening the time it takes to orbit around its companion asteroid Didymos by 33 minutes. Didymos had no chance of hitting Earth, but the DART mission’s success means that NASA has a tested technique to consider when addressing a future asteroid potential impact threat.
Artist’s impression of NASA’s upcoming NEO Surveyor mission, which will search for potentially hazardous near-Earth objects. The mission will follow open data practices to improve the chances of identifying dangerous asteroids. NASA/JPL-Caltech To increase the chances of discovering asteroid threats to Earth well in advance, NASA is working on a new space-based observatory, NEO Surveyor, which will be the first spacecraft specifically designed to look for asteroids and comets that pose a hazard to Earth. The mission is expected to launch in the fall of 2027, and the data it collects will be available to everyone through NASA archives.
“Many of the NEOs that pose a risk to Earth remain to be found,” Bauer said. “An asteroid impact has a very low likelihood at any given time, but consequences could be high, and open science is an important component to being vigilant.”
For more information about NASA’s approach to sharing science data, visit:
https://science.nasa.gov/open-science.
By Lauren Leese
Web Content Strategist for the Office of the Chief Science Data Officer
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Last Updated Apr 10, 2025 Related Terms
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By NASA
Explore This Section Science Science Activation NASA Science Supports Data… Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science 3 min read
NASA Science Supports Data Literacy for K-12 Students
Data – and our ability to understand and use it – shapes nearly every aspect of our world, from decisions in our lives to the skills we need in the workplace and more. All of us, as either producers or consumers of data, will experience how it can be used to problem-solve and think critically as we navigate the world around us. For that reason, Data Science has become an increasingly essential and growing field that combines the collection, organization, analysis, interpretation, and sharing of data in virtually every area of life. As more data become more openly available, our Data Science skills will be of increasing importance. And yet, there is a widening gap between what students learn in school and the skills they will need to succeed in a data-driven world. The integration of Data Science into K-12 education opens doors to higher education, high-paying careers, and empowering learners to eventually participate in the creation of new knowledge and understanding of our world, and at least 29 states have reported some level of data science implementation at the K-12 level, including standard or framework adoption, course piloting, and educator professional learning.
In February 2025, the first-ever Data Science Education K-12: Research to Practice Conference (DS4E) took place in San Antonio, TX. A number of representatives from NASA’s Science Activation program and other NASA partners attended and presented along with over 250 educators, researchers, and school leaders from across the nation. Science Activation projects share a passion for helping people of all ages and backgrounds connect with NASA science experts, content, experiences, and learning resources, and the AEROKATS & ROVER Education Network (AREN); Place-Based Learning to Advance Connections, Education, and Stewardship (PLACES); Global Learning and Observations to Benefit the Environment (GLOBE) Mission Earth; and My NASA Data teams did just that. Their presentations at the conference included:
“BYOD – Build or Bring Your Own Data: Developing K-12 Datasets” (PLACES) “Using NASA Data Resources as a Tool to Support Storytelling with Data in K-12 Education” (My NASA Data) “Place-Based Data Literacy: Real People, Real Places, Real Data” (AREN) Conference participants expressed interest in learning more about NASA assets, including data and subject matter experts. Stemming from their participation in this first DS4E, several Science Activation teams are collaborating to potentially host regional events next year under the umbrella of this effort (PLACES in particular), a wonderful example of how Science Activation project teams help lead the charge in the advancement of key Science, Technology, Education, and Mathematics (STEM) fields, such as Data Science, to activate minds and promote a deeper understanding of our world and beyond.
Learn more about how Science Activation 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
Data Science Education K-12 Research to Practice Conference Share
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Last Updated Apr 09, 2025 Editor NASA Science Editorial Team Related Terms
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