Members Can Post Anonymously On This Site
-
Similar Topics
-
By NASA
3 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
The high-altitude WB-57 aircraft departed July 8, 2025, from Ellington Field in Houston, Texas, headed to the Texas Hill Country. The aircraft will use the DyNAMITE (Day/Night Airborne Motion Imager for Terrestrial Environments) sensor system to take video mosaics of the area to assist with the emergency response effort. Photo Credit: NASA/Morgan Gridley In response to recent flooding near Kerrville, Texas, NASA deployed two aircraft to assist state and local authorities in ongoing recovery operations.
The aircraft are part of the response from NASA’s Disasters Response Coordination System, which is activated to support emergency response for the flooding and is working closely with the Texas Division of Emergency Management, the Federal Emergency Management Agency (FEMA), and the humanitarian groups Save the Children and GiveDirectly.
Persistent cloud-cover has made it difficult to obtain clear satellite imagery, so the Disasters Program coordinated with NASA’s Airborne Science Program at NASA’s Johnson Space Flight Center in Houston to conduct a series of flights to gather observations of the impacted regions. NASA is sharing these data directly with emergency response teams to inform their search and rescue efforts and aid decision-making and resource allocation.
The high-altitude WB-57 aircraft operated by NASA Johnson departed from Ellington Field on July 8 to conduct aerial surveys. The aircraft is equipped with the DyNAMITE (Day/Night Airborne Motion Imager for Terrestrial Environments) sensor.
The DyNAMITE sensor views the Guadalupe River[KA1] [RC2] and several miles of the surrounding area, providing high-resolution imagery critical to assessing damage and supporting coordination of ground-based recovery efforts. This system enables real-time collection and analysis of data, enhancing situational awareness and accelerating emergency response times.
In addition, the agency’s Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) is flying out of NASA’s Armstrong Flight Research Center in Edwards, California, aboard a Gulfstream III. Managed by the agency’s Jet Propulsion Laboratory in Southern California, the UAVSAR team is planning to collect observations over the Guadalupe, San Gabriel, and Colorado river basins Wednesday, Thursday, and Friday. Because UAVSAR can penetrate vegetation to spot water that optical sensors are unable to detect, the team’s goal is to characterize the extent of flooding to help with understanding the amount of damage within communities.
Flights are being coordinated with FEMA, the Texas Division of Emergency Management, and local responders to ensure data is quickly delivered to those making decisions on the ground. Imagery collected will be sent to NASA’s Disaster Response Coordination System.
Additionally, the Disasters Program, which is part of NASA’s Earth Science Division, is working to produce maps and data to assess the location and severity of flooding in the region and damage to buildings and infrastructure. These data are being shared on the NASA Disasters Mapping Portal as they become available.
Read More Share
Details
Last Updated Jul 09, 2025 Related Terms
Earth Applied Sciences Program Earth Science Division Ellington Field Floods General Jet Propulsion Laboratory Johnson Space Center NASA Aircraft NASA Headquarters Science Mission Directorate WB-57 Explore More
2 min read Polar Tourists Give Positive Reviews to NASA Citizen Science in Antarctica
Citizen science projects result in an overwhelmingly positive impact on the polar tourism experience. That’s…
Article 6 hours ago 3 min read Aaisha Ali: From Marine Biology to the Artemis Control Room
Article 2 days ago 4 min read NASA Mission Monitoring Air Quality from Space Extended
Article 6 days ago Keep Exploring Discover Related Topics
Missions
Humans in Space
Climate Change
Solar System
View the full article
-
By NASA
6 min read
Smarter Searching: NASA AI Makes Science Data Easier to Find
Image snapshot taken from NASA Worldview of NASA’s Global Precipitation Measurement (GPM) mission on March 15, 2025 showing heavy rain across the southeastern U.S. with an overlay of the GCMD Keyword Recommender for Earth Science, Atmosphere, Precipitation, Droplet Size. NASA Worldview Imagine shopping for a new pair of running shoes online. If each seller described them differently—one calling them “sneakers,” another “trainers,” and someone else “footwear for exercise”—you’d quickly feel lost in a sea of mismatched terminology. Fortunately, most online stores use standardized categories and filters, so you can click through a simple path: Women’s > Shoes > Running Shoes—and quickly find what you need.
Now, scale that problem to scientific research. Instead of sneakers, think “aerosol optical depth” or “sea surface temperature.” Instead of a handful of retailers, it is thousands of researchers, instruments, and data providers. Without a common language for describing data, finding relevant Earth science datasets would be like trying to locate a needle in a haystack, blindfolded.
That’s why NASA created the Global Change Master Directory (GCMD), a standardized vocabulary that helps scientists tag their datasets in a consistent and searchable way. But as science evolves, so does the challenge of keeping metadata organized and discoverable.
To meet that challenge, NASA’s Office of Data Science and Informatics (ODSI) at the agency’s Marshall Space Flight Center (MSFC) in Huntsville, Alabama, developed the GCMD Keyword Recommender (GKR): a smart tool designed to help data providers and curators assign the right keywords, automatically.
Smarter Tagging, Accelerated Discovery
The upgraded GKR model isn’t just a technical improvement; it’s a leap forward in how we organize and access scientific knowledge. By automatically recommending precise, standardized keywords, the model reduces the burden on human curators while ensuring metadata quality remains high. This makes it easier for researchers, students, and the public to find exactly the datasets they need.
It also sets the stage for broader applications. The techniques used in GKR, like applying focal loss to rare-label classification problems and adapting pre-trained transformers to specialized domains, can benefit fields well beyond Earth science.
Metadata Matchmaker
The newly upgraded GKR model tackles a massive challenge in information science known as extreme multi-label classification. That’s a mouthful, but the concept is straightforward: Instead of predicting just one label, the model must choose many, sometimes dozens, from a set of thousands. Each dataset may need to be tagged with multiple, nuanced descriptors pulled from a controlled vocabulary.
Think of it like trying to identify all the animals in a photograph. If there’s just a dog, it’s easy. But if there’s a dog, a bird, a raccoon hiding behind a bush, and a unicorn that only shows up in 0.1% of your training photos, the task becomes far more difficult. That’s what GKR is up against: tagging complex datasets with precision, even when examples of some keywords are scarce.
And the problem is only growing. The new version of GKR now considers more than 3,200 keywords, up from about 430 in its earlier iteration. That’s a sevenfold increase in vocabulary complexity, and a major leap in what the model needs to learn and predict.
To handle this scale, the GKR team didn’t just add more data; they built a more capable model from the ground up. At the heart of the upgrade is INDUS, an advanced language model trained on a staggering 66 billion words drawn from scientific literature across disciplines—Earth science, biological sciences, astronomy, and more.
NASA ODSI’s GCMD Keyword Recommender AI model automatically tags scientific datasets with the help of INDUS, a large language model trained on NASA scientific publications across the disciplines of astrophysics, biological and physical sciences, Earth science, heliophysics, and planetary science. NASA “We’re at the frontier of cutting-edge artificial intelligence and machine learning for science,” said Sajil Awale, a member of the NASA ODSI AI team at MSFC. “This problem domain is interesting, and challenging, because it’s an extreme classification problem where the model needs to differentiate even very similar keywords/tags based on small variations of context. It’s exciting to see how we have leveraged INDUS to build this GKR model because it is designed and trained for scientific domains. There are opportunities to improve INDUS for future uses.”
This means that the new GKR isn’t just guessing based on word similarities; it understands the context in which keywords appear. It’s the difference between a model knowing that “precipitation” might relate to weather versus recognizing when it means a climate variable in satellite data.
And while the older model was trained on only 2,000 metadata records, the new version had access to a much richer dataset of more than 43,000 records from NASA’s Common Metadata Repository. That increased exposure helps the model make more accurate predictions.
The Common Metadata Repository is the backend behind the following data search and discovery services:
Earthdata Search International Data Network Learning to Love Rare Words
One of the biggest hurdles in a task like this is class imbalance. Some keywords appear frequently; others might show up just a handful of times. Traditional machine learning approaches, like cross-entropy loss, which was used initially to train the model, tend to favor the easy, common labels, and neglect the rare ones.
To solve this, NASA’s team turned to focal loss, a strategy that reduces the model’s attention to obvious examples and shifts focus toward the harder, underrepresented cases.
The result? A model that performs better across the board, especially on the keywords that matter most to specialists searching for niche datasets.
From Metadata to Mission
Ultimately, science depends not only on collecting data, but on making that data usable and discoverable. The updated GKR tool is a quiet but critical part of that mission. By bringing powerful AI to the task of metadata tagging, it helps ensure that the flood of Earth observation data pouring in from satellites and instruments around the globe doesn’t get lost in translation.
In a world awash with data, tools like GKR help researchers find the signal in the noise and turn information into insight.
Beyond powering GKR, the INDUS large language model is also enabling innovation across other NASA SMD projects. For example, INDUS supports the Science Discovery Engine by helping automate metadata curation and improving the relevancy ranking of search results.The diverse applications reflect INDUS’s growing role as a foundational AI capability for SMD.
The INDUS large language model is funded by the Office of the Chief Science Data Officer within NASA’s Science Mission Directorate at NASA Headquarters in Washington. The Office of the Chief Science Data Officer advances scientific discovery through innovative applications and partnerships in data science, advanced analytics, and artificial intelligence.
Share
Details
Last Updated Jul 09, 2025 Related Terms
Science & Research Artificial Intelligence (AI) Explore More
2 min read Polar Tourists Give Positive Reviews to NASA Citizen Science in Antarctica
Article
6 hours ago
2 min read Hubble Observations Give “Missing” Globular Cluster Time to Shine
Article
6 days ago
5 min read How NASA’s SPHEREx Mission Will Share Its All-Sky Map With the World
Article
7 days ago
Keep Exploring Discover Related Topics
Missions
Humans in Space
Climate Change
Solar System
View the full article
-
By NASA
The seven-member Expedition 73 crew poses for a portrait inside the International Space Station’s Zvezda service module.Credit: NASA Students in Big Pine Key, Florida, will have the chance to have NASA astronauts aboard the International Space Station answer their prerecorded questions.
At 10:05 a.m. EDT on Monday, July 14, NASA astronaut Nicole Ayers and JAXA (Japan Aerospace Exploration Agency) astronaut Takuya Onishi will answer questions submitted by students.
Watch the 20-minute Earth-to-space call on NASA STEM’s YouTube Channel.
The event is hosted by the Seacamp Association of Big Pine Key, Florida, which provides immersive science lessons for youth interested in discovering the sea. The event will be attended by local Monroe County students, as well as national and international campers ages 10-17 years old. The goal of the event is to help students make connections between astronauts training in space and scientists working in the sea.
Media interested in covering the event must RSVP by 5 p.m. EDT, Friday, July 11, to Judy Gregoire at: 305-872-2331 or email at: info@seacamp.org.
For nearly 25 years, astronauts have continuously lived and worked aboard the space station, testing technologies, performing science, and developing skills needed to explore farther from Earth. Astronauts aboard the orbiting laboratory communicate with NASA’s Mission Control Center in Houston 24 hours a day through SCaN’s (Space Communications and Navigation) Near Space Network.
Important research and technology investigations taking place aboard the space station benefit people on Earth and lay the groundwork for other agency missions. As part of NASA’s Artemis campaign, the agency will send astronauts to the Moon to prepare for future human exploration of Mars; inspiring Golden Age explorers and ensuring the United States continues to lead in space exploration and discovery.
See videos of astronauts aboard the space station at:
https://www.nasa.gov/stemonstation
-end-
Gerelle Dodson
Headquarters, Washington
202-358-1600
gerelle.q.dodson@nasa.gov
Sandra Jones
Johnson Space Center, Houston
281-483-5111
sandra.p.jones@nasa.gov
Share
Details
Last Updated Jul 09, 2025 LocationNASA Headquarters Related Terms
Humans in Space In-flight Education Downlinks International Space Station (ISS) Johnson Space Center Learning Resources NASA Headquarters View the full article
-
By NASA
2 min read
Polar Tourists Give Positive Reviews to NASA Citizen Science in Antarctica
Citizen science projects result in an overwhelmingly positive impact on the polar tourism experience. That’s according to a new paper analyzing participant experiences in the first two years of FjordPhyto, a NASA Citizen Science project..
The FjordPhyto citizen science project invites travelers onboard expedition cruise vessels to gather data and samples during the polar summer season, helping researchers understand changes in microalgae communities in response to melting glaciers. Travelers in Antarctica from November to March help collect phytoplankton and ocean data from polar regions facilitated by trained expedition guides.
The new research found that ninety-seven percent of respondents reported that participating in citizen science enriched their travel experience. The paper provides a first understanding of the impact of citizen science projects on the tourism experience.
“I was worried that I would feel guilty being a tourist in a place as remote and untouched as Antarctica,” said one anonymous FjordPhyto participant. “But being able to learn and be a part of citizen science, whilst constantly being reminded of our environmental responsibilities, made me feel less like just a visitor and more a part of keeping the science culture that Antarctica is known for alive and well.”
For more information and to sign up, visit the FjordPhyto website.
Travelers in Antarctica participate in collecting phytoplankton and ocean data from polar regions facilitated by trained expedition guides. Credit: Mathew Farrell courtesy of Robert Gilmore Share
Details
Last Updated Jul 09, 2025 Related Terms
Citizen Science Earth Science Earth Science Division Ice & Glaciers Explore More
2 min read NASA Citizen Scientists Find New Eclipsing Binary Stars
Article
2 weeks ago
2 min read Live or Fly a Plane in California? Help NASA Measure Ozone Pollution!
Article
2 weeks ago
5 min read NASA Launching Rockets Into Radio-Disrupting Clouds
Article
4 weeks ago
View the full article
-
By NASA
4 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Since launching in 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution mission, or TEMPO, has been measuring the quality of the air we breathe from 22,000 miles above the ground. June 19 marked the successful completion of TEMPO’s 20-month-long initial prime mission, and based on the quality of measurements to date, the mission has been extended through at least September 2026. The TEMPO mission is NASA’s first to use a spectrometer to gather hourly air quality data continuously over North America during daytime hours. It can see details down to just a few square miles, a significant advancement over previous satellites.
“NASA satellites have a long history of missions lasting well beyond the primary mission timeline. While TEMPO has completed its primary mission, the life for TEMPO is far from over,” said Laura Judd, research physical scientist and TEMPO science team member at NASA’s Langley Research Center in Hampton, Virginia. “It is a big jump going from once-daily images prior to this mission to hourly data. We are continually learning how to use this data to interpret how emissions change over time and how to track anomalous events, such as smoggy days in cities or the transport of wildfire smoke.”
To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video
By measuring nitrogen dioxide (NO2) and formaldehyde (HCHO), TEMPO can derive the presence of near-surface ozone. On Aug. 2, 2024 over Houston, TEMPO observed exceptionally high ozone levels in the area. On the left, NO2 builds up in the atmosphere over the city and over the Houston Ship Channel. On the right, formaldehyde levels are seen reaching a peak in the early afternoon. Formaldehyde is largely formed through the oxidation of hydrocarbons, an ingredient of ozone production, such as those that can be emitted by petrochemical facilities found in the Houston Ship Channel. Trent Schindler/NASA's Scientific Visualization Studio When air quality is altered by smog, wildfire smoke, dust, or emissions from vehicle traffic and power plants, TEMPO detects the trace gases that come with those effects. These include nitrogen dioxide, ozone, and formaldehyde in the troposphere, the lowest layer of Earth’s atmosphere.
“A major breakthrough during the primary mission has been the successful test of data delivery in under three hours with the help of NASA’s Satellite Needs Working Group. This information empowers decision-makers and first responders to issue timely air quality warnings and help the public reduce outdoor exposure during times of higher pollution,” said Hazem Mahmoud, lead data scientist at NASA’s Atmospheric Science Data Center located at Langley Research Center.
…the substantial demand for TEMPO's data underscores its critical role…
hazem mahmoud
NASA Data Scientist
TEMPO data is archived and distributed freely through the Atmospheric Science Data Center. “The TEMPO mission has set a groundbreaking record as the first mission to surpass two petabytes, or 2 million gigabytes, of data downloads within a single year,” said Mahmoud. “With over 800 unique users, the substantial demand for TEMPO’s data underscores its critical role and the immense value it provides to the scientific community and beyond.” Air quality forecasters, atmospheric scientists, and health researchers make up the bulk of the data users so far.
To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video
On April 14, strong winds triggered the formation of a huge dust storm in the U.S. central plains and fueled the ignition of grassland fires in Oklahoma. On the left, the NO2 plumes originating from the grassland fires are tracked hour-by-hour by TEMPO. Smoke can be discerned from dust as a source since dust is not a source of NO2. The animation on the right shows the ultraviolet (UV) aerosol index, which indicates particulates in the atmosphere that absorb UV light, such as dust and smoke. Trent Schindler/NASA's Scientific Visualization Studio The TEMPO mission is a collaboration between NASA and the Smithsonian Astrophysical Observatory, whose Center for Astrophysics Harvard & Smithsonian oversees daily operations of the TEMPO instrument and produces data products through its Instrument Operations Center.
Datasets from TEMPO will be expanded through collaborations with partner agencies like the National Oceanic and Atmospheric Administration (NOAA), which is deriving aerosol products that can distinguish between smoke and dust particles and offer insights into their altitude and concentration.
To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video
On May 5, TEMPO measured NO2 emissions over the Twin Cities in the center of Minnesota during morning rush hour. The NO2 increases seen mid-day through the early evening hours are illustrated by the red and black shaded areas at the Red River Valley along the North Dakota state line. These levels are driven by emissions from the soils in agriculturally rich areas. Agricultural soil emissions are influenced by environmental factors like temperature and moisture as well as fertilizer application. Small fires and enhancements from mining activities can also be seen popping up across the region through the afternoon.Trent Schindler/NASA's Scientific Visualization Studio “These datasets are being used to inform the public of rush-hour pollution, air quality alerts, and the movement of smoke from forest fires,” said Xiong Liu, TEMPO’s principal investigator at the Center for Astrophysics Harvard & Smithsonian. “The library will soon grow with the important addition of aerosol products. Users will be able to use these expanded TEMPO products for air quality monitoring, improving forecast models, deriving pollutant amounts in emissions and many other science applications.”
The TEMPO mission detects and highlights movement of smoke originating from fires burning in Manitoba on June 2. Seen in purple hues are observations made by TEMPO in the ultraviolet spectrum compared to Advanced Baseline Imagers (ABIs) on NOAA’s GOES-R series of weather satellites that do not have the needed spectral coverage. The NOAA GOES-R data paired with NASA’s TEMPO data enhance state and local agencies’ ability to provide near-real-time smoke and dust impacts in local air quality forecasts.NOAA/NESDIS/Center for Satellite Applications and Research “The TEMPO data validation has truly been a community effort with over 20 agencies at the federal and international level, as well as a community of over 200 scientists at research and academic institutions,” Judd added. “I look forward to seeing how TEMPO data will help close knowledge gaps about the timing, sources, and evolution of air pollution from this unprecedented space-based view.”
An agency review will take place in the fall to assess TEMPO’s achievements and extended mission goals and identify lessons learned that can be applied to future missions.
The TEMPO mission is part of NASA’s Earth Venture Instrument program, which includes small, targeted science investigations designed to complement NASA’s larger research missions. The instrument also forms part of a virtual constellation of air quality monitors for the Northern Hemisphere which includes South Korea’s Geostationary Environment Monitoring Spectrometer and ESA’s (European Space Agency) Sentinel-4 satellite. TEMPO was built by BAE Systems Inc., Space & Mission Systems (formerly Ball Aerospace). It flies onboard the Intelsat 40e satellite built by Maxar Technologies. The TEMPO Instrument Operations Center and the Science Data Processing Center are operated by the Smithsonian Astrophysical Observatory, part of the Center for Astrophysics | Harvard & Smithsonian in Cambridge.
For more information about the TEMPO instrument and mission, visit:
https://science.nasa.gov/mission/tempo/
About the Author
Charles G. Hatfield
Science Public Affairs Officer, NASA Langley Research Center
Share
Details
Last Updated Jul 03, 2025 LocationNASA Langley Research Center Related Terms
Tropospheric Emissions: Monitoring of Pollution (TEMPO) Earth Earth Science Earth Science Division General Langley Research Center Missions Science Mission Directorate Explore More
2 min read Hubble Observations Give “Missing” Globular Cluster Time to Shine
A previously unexplored globular cluster glitters with multicolored stars in this NASA Hubble Space Telescope…
Article 15 minutes ago 5 min read NASA Advances Pressure Sensitive Paint Research Capability
Article 1 hour ago 5 min read How NASA’s SPHEREx Mission Will Share Its All-Sky Map With the World
NASA’s newest astrophysics space telescope launched in March on a mission to create an all-sky…
Article 1 day ago Keep Exploring Discover More Topics From NASA
Missions
Humans in Space
Climate Change
Solar System
View the full article
-
-
Check out these Videos
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.