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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
An aerial view of Palmyra Atoll, where animal tracking data now being studied by NASA’s Internet of Animals project was collected using wildlife tags by partners at The Nature Conservancy, the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, and several universities.The Nature Conservancy/Kydd Pollock Anchoring the boat in a sandbar, research scientist Morgan Gilmour steps into the shallows and is immediately surrounded by sharks. The warm waters around the tropical island act as a reef shark nursery, and these baby biters are curious about the newcomer. They zoom close and veer away at the last minute, as Gilmour slowly makes her way toward the kaleidoscope of green sprouting from the island ahead.
Gilmour, a scientist at NASA’s Ames Research Center in California’s Silicon Valley, conducts marine ecology and conservation studies using data collected by the U.S. Geological Survey (USGS) from animals equipped with wildlife tags. Palmyra Atoll, a United States marine protected area, provides the perfect venue for this work.
A juvenile blacktip reef shark swims toward researchers in the shallow waters around Palmyra Atoll.The Nature Conservancy/Kydd Pollock A collection of roughly 50 small islands in the tropical heart of the Pacific Ocean, the atoll is bursting with life of all kinds, from the reef sharks and manta rays circling the shoreline to the coconut crabs climbing palm branches and the thousands of seabirds swooping overhead. By analyzing the movements of dolphins, tuna, and other creatures, Gilmour and her collaborators can help assess whether the boundaries of the marine protected area surrounding the atoll actually protect the species they intend to, or if its limits need to shift.
Launched in 2020 by The Nature Conservancy and its partners – USGS, NOAA (National Oceanic and Atmospheric Administration), and several universities – the project team deployed wildlife tags at Palmyra in 2022, when Gilmour was a scientist with USGS.
Now with NASA, she is leveraging the data for a study under the agency’s Internet of Animals project. By combining information transmitted from wildlife tags with information about the planet collected by satellites – such as NASA’s Aqua, NOAA’s GOES (Geostationary Operational Environmental Satellite) satellites, and the U.S.-European Jason-3 – scientists can work with partners to draw conclusions that inform ecological management.
The Palmyra Atoll is a haven for biodiversity, boasting thriving coral reef systems, shallow waters that act as a shark nursery, and rich vegetation for various land animals and seabirds. In the Landsat image above, a small white square marks the research station, where scientists from all over the world come to study the many species that call the atoll home.NASA/Earth Observatory Team “Internet of Animals is more than just an individual collection of movements or individual studies; it’s a way to understand the Earth at large,” said Ryan Pavlick, then Internet of Animals project scientist at NASA’s Jet Propulsion Laboratory in Southern California, during the project’s kickoff event.
The Internet of Animals at Palmyra
“Our work at Palmyra was remarkably comprehensive,” said Gilmour. “We tracked the movements of eight species at once, plus their environmental conditions, and we integrated climate projections to understand how their habitat may change. Where studies may typically track two or three types of birds, we added fish and marine mammals, plus air and water column data, for a 3D picture of the marine protected area.”
Tagged Yellowfin Tuna, Grey Reef Sharks, and Great Frigatebirds move in and out of a marine protected area (blue square), which surrounds the Palmyra Atoll (blue circle) in the tropical heart of the Pacific. These species are three of many that rely on the atoll and its surrounding reefs for food and for nesting.NASA/Lauren Dauphin Now, the NASA team has put that data into a species distribution model, which combines the wildlife tracking information with environmental data from satellites, including sea surface temperature, chlorophyll concentration, and ocean current speed. The model can help researchers understand how animal populations use their habitats and how that might shift as the climate changes.
Preliminary results from Internet of Animals team show that the animals tracked are moving beyond the confines of the Palmyra marine protected area. The model identified suitable habitats both in and around the protected zone – now and under predicted climate change scenarios – other researchers and decisionmakers can utilize that knowledge to inform marine policy and conservation.
Research scientist Morgan Gilmour checks on a young great frigatebird in its nest. The marine protected area around Palmyra Atoll protects these birds’ breeding grounds.UC Santa Barbara/Devyn Orr Following a 2023 presidential memorandum, NOAA began studying and gathering input on whether to expand the protected areas around Palmyra and other parts of the Pacific Remote Islands Marine National Monument. Analysis from NASA’s Internet of Animals could inform that and similar decisions, such as whether to create protected “corridors” in the ocean to allow for seasonal migrations of wildlife. The findings and models from the team’s habitat analysis at Palmyra also could help inform conservation at similar latitudes across the planet.
Beyond the Sea: Other Internet of Animals Studies
Research at Palmyra Atoll is just one example of work by Internet of Animals scientists.
Claire Teitelbaum, a researcher with the Bay Area Environmental Research Institute based at NASA Ames, studies avian flu in wild waterfowl, investigating how their movement may contribute to transmission of the virus to poultry and other domestic livestock.
Teams at Ames and JPL are also working with USGS to create next-generation wildlife tags and sensors. Low-power radar tags in development at JPL would be lightweight enough to track small birds. Ames researchers plan to develop long-range radio tags capable of maximizing coverage and transmission of data from high-flying birds. This could help researchers take measurements in hard-to-reach layers of the atmosphere.
With the technology brought together by the Internet of Animals, even wildlife can take an active role in the study of Earth’s interacting systems, helping human experts learn more about our planet and how best to confront the challenges facing the natural world.
To learn more about the Internet of Animals visit: https://www.nasa.gov/nasa-earth-exchange-nex/new-missions-support/internet-of-animals/
The Internet of Animals project is funded by NASA and managed at NASA’s Jet Propulsion Laboratory in Southern California. The team at NASA’s Ames Research Center in California’s Silicon Valley is part of the NASA Earth Exchange, a Big Data initiative providing unique insights into Earth’s systems using the agency’s supercomputers at the center. Partners on the project include the U.S. Geological Survey, The Nature Conservancy, the National Oceanic and Atmospheric Administration, the Yale Center for Biodiversity and Global Change, Stanford University, University of Hawaii, University of California Santa Barbara, San Jose State University, University of Washington, and the Max Planck Institute for Animal Behavior.
For Researchers
The research collaboration’s dataset from Palmyra is available in open access: Palmyra Bluewater Research Marine Animal Telemetry Dataset, 2022-2023 Related research from Morgan Gilmour’s team was published in the journal Global Ecology and Conservation in June 2022: “Evaluation of MPA designs that protect highly mobile megafauna now and under climate change scenarios.”
Media Contacts
Members of the news media interested in covering this topic should reach out to the NASA Ames newsroom.
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 Jul 10, 2024 Related Terms
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By NASA
The Goldstone Solar System Radar, part of NASA’s Deep Space Network, made these observations of the recently discovered 500-foot-wide (150-meter-wide) asteroid 2024 MK, which made its closest approach — within about 184,000 miles (295,000 kilometers) of Earth — on June 29.NASA/JPL-Caltech The Deep Space Network’s Goldstone planetary radar had a busy few days observing asteroids 2024 MK and 2011 UL21 as they safely passed Earth.
Scientists at NASA’s Jet Propulsion Laboratory in Southern California recently tracked two asteroids as they flew by our planet. One turned out to have a little moon orbiting it, while the other had been discovered only 13 days before its closest approach to Earth. There was no risk of either near-Earth object impacting our planet, but the radar observations taken during these two close approaches will provide valuable practice for planetary defense, as well as information about their sizes, orbits, rotation, surface details, and clues as to their composition and formation.
Passing Earth on June 27 at a distance of 4.1 million miles (6.6 million kilometers), or about 17 times the distance between the Moon and Earth, the asteroid 2011 UL21 was discovered in 2011 by the NASA-funded Catalina Sky Survey, in Tucson, Arizona. But this is the first time it has come close enough to Earth to be imaged by radar. While the nearly mile-wide (1.5-kilometer-wide) object is classified as being potentially hazardous, calculations of its future orbits show that it won’t pose a threat to our planet for the foreseeable future.
Because close approaches by asteroids the size of 2024 MK are relatively rare, JPL’s planetary radar team gathered as much information about the near-Earth object as possible. This mosaic shows the spinning asteroid in one-minute increments about 16 hours after its closest approach with Earth.NASA/JPL-Caltech Using the Deep Space Network’s 230-foot-wide (70-meter) Goldstone Solar System Radar, called Deep Space Station 14 (DSS-14), near Barstow, California, JPL scientists transmitted radio waves to the asteroid and received the reflected signals by the same antenna. In addition to determining the asteroid is roughly spherical, they discovered that it’s a binary system: A smaller asteroid, or moonlet, orbits it from a distance of about 1.9 miles (3 kilometers).
“It is thought that about two-thirds of asteroids of this size are binary systems, and their discovery is particularly important because we can use measurements of their relative positions to estimate their mutual orbits, masses, and densities, which provide key information about how they may have formed,” said Lance Benner, principal scientist at JPL who helped lead the observations.
These seven radar observations by the Deep Space Network’s Goldstone Solar System Radar shows the mile-wide asteroid 2011 UL21 during its June 27 close approach with Earth from about 4 million miles away. The asteroid and its small moon (a bright dot at the bottom of the image) are circled in white.NASA/JPL-Caltech Second Close Approach
Two days later, on June 29, the same team observed the asteroid 2024 MK pass our planet from a distance of only 184,000 miles (295,000 kilometers), or slightly more than three-quarters of the distance between the Moon and Earth. About 500 feet (150 meters) wide, this asteroid appears to be elongated and angular, with prominent flat and rounded regions. For these observations, the scientists also used DSS-14 to transmit radio waves to the object, but they used Goldstone’s 114-foot (34-meter) DSS-13 antenna to receive the signal that bounced off the asteroid and came back to Earth. The result of this “bistatic” radar observation is a detailed image of the asteroid’s surface, revealing concavities, ridges, and boulders about 30 feet (10 meters) wide.
Close approaches of near-Earth objects the size of 2024 MK are relatively rare, occurring about every couple of decades, on average, so the JPL team sought to gather as much data about the object as possible. “This was an extraordinary opportunity to investigate the physical properties and obtain detailed images of a near-Earth asteroid,” said Benner.
This sunset photo shows NASA’s Deep Space Station 14 (DSS-14), the 230-foot-wide (70-meter) antenna at the Goldstone Deep Space Communications Complex near Barstow, California.NASA/JPL-Caltech The asteroid 2024 MK was first reported on June 16 by the NASA-funded Asteroid Terrestrial-impact Last Alert System (ATLAS) at Sutherland Observing Station in South Africa. Its orbit was changed by Earth’s gravity as it passed by, reducing its 3.3-year orbital period around the Sun by about 24 days. Although it is classified as a potentially hazardous asteroid, calculations of its future motion show that it does not pose a threat to our planet for the foreseeable future.
The Goldstone Solar System Radar Group is supported by NASA’s Near-Earth Object Observations Program within the Planetary Defense Coordination Office at the agency’s headquarters in Washington. Managed by JPL, the Deep Space Network receives programmatic oversight from Space Communications and Navigation program office within the Space Operations Mission Directorate, also at NASA Headquarters.
More information about planetary radar and near-Earth objects can be found at:
https://www.jpl.nasa.gov/asteroid-watch
News Media Contact
Ian J. O’Neill
Jet Propulsion Laboratory, Pasadena, Calif.
818-354-2649
ian.j.oneill@jpl.nasa.gov
2024-097
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Last Updated Jul 03, 2024 Related Terms
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By European Space Agency
ESA is committed to deliver on the promise of Zero Debris by 2030. To ensure compliant satellites can be designed and built in time, ESA is supporting industry during this technologically challenging transition.
On 25 June 2024, three major European space industry players each signed a contract with ESA to develop large low Earth orbit (LEO) satellite platforms that conform to Zero Debris standards.
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By NASA
4 min read
NASA-IBM Collaboration Develops INDUS Large Language Models for Advanced Science Research
Named for the southern sky constellation, INDUS (stylized in all caps) is a comprehensive suite of large language models supporting five science domains. NASA By Derek Koehl
Collaborations with private, non-federal partners through Space Act Agreements are a key component in the work done by NASA’s Interagency Implementation and Advanced Concepts Team (IMPACT). A collaboration with International Business Machines (IBM) has produced INDUS, a comprehensive suite of large language models (LLMs) tailored for the domains of Earth science, biological and physical sciences, heliophysics, planetary sciences, and astrophysics and trained using curated scientific corpora drawn from diverse data sources.
INDUS contains two types of models; encoders and sentence transformers. Encoders convert natural language text into numeric coding that can be processed by the LLM. The INDUS encoders were trained on a corpus of 60 billion tokens encompassing astrophysics, planetary science, Earth science, heliophysics, biological, and physical sciences data. Its custom tokenizer developed by the IMPACT-IBM collaborative team improves on generic tokenizers by recognizing scientific terms like biomarkers and phosphorylated. Over half of the 50,000-word vocabulary contained in INDUS is unique to the specific scientific domains used for its training. The INDUS encoder models were used to fine tune the sentence transformer models on approximately 268 million text pairs, including titles/abstracts and questions/answers.
By providing INDUS with domain-specific vocabulary, the IMPACT-IBM team achieved superior performance over open, non-domain specific LLMs on a benchmark for biomedical tasks, a scientific question-answering benchmark, and Earth science entity recognition tests. By designing for diverse linguistic tasks and retrieval augmented generation, INDUS is able to process researcher questions, retrieve relevant documents, and generate answers to the questions. For latency sensitive applications, the team developed smaller, faster versions of both the encoder and sentence transformer models.
Validation tests demonstrate that INDUS excels in retrieving relevant passages from the science corpora in response to a NASA-curated test set of about 400 questions. IBM researcher Bishwaranjan Bhattacharjee commented on the overall approach: “We achieved superior performance by not only having a custom vocabulary but also a large specialized corpus for training the encoder model and a good training strategy. For the smaller, faster versions, we used neural architecture search to obtain a model architecture and knowledge distillation to train it with supervision of the larger model.”
NASA Chief Scientist Kate Calvin gives remarks in a NASA employee town hall on how the agency is using and developing Artificial Intelligence (AI) tools to advance missions and research, Wednesday, May 22, 2024, at the NASA Headquarters Mary W. Jackson Building in Washington. The INDUS suite of models will help facilitate the agency’s AI goals. NASA/Bill Ingalls INDUS was also evaluated using data from NASA’s Biological and Physical Sciences (BPS) Division. Dr. Sylvain Costes, the NASA BPS project manager for Open Science, discussed the benefits of incorporating INDUS: “Integrating INDUS with the Open Science Data Repository (OSDR) Application Programming Interface (API) enabled us to develop and trial a chatbot that offers more intuitive search capabilities for navigating individual datasets. We are currently exploring ways to improve OSDR’s internal curation data system by leveraging INDUS to enhance our curation team’s productivity and reduce the manual effort required daily.”
At the NASA Goddard Earth Sciences Data and Information Services Center (GES-DISC), the INDUS model was fine-tuned using labeled data from domain experts to categorize publications specifically citing GES-DISC data into applied research areas. According to NASA principal data scientist Dr. Armin Mehrabian, this fine-tuning “significantly improves the identification and retrieval of publications that reference GES-DISC datasets, which aims to improve the user journey in finding their required datasets.” Furthermore, the INDUS encoder models are integrated into the GES-DISC knowledge graph, supporting a variety of other projects, including the dataset recommendation system and GES-DISC GraphRAG.
Kaylin Bugbee, team lead of NASA’s Science Discovery Engine (SDE), spoke to the benefit INDUS offers to existing applications: “Large language models are rapidly changing the search experience. The Science Discovery Engine, a unified, insightful search interface for all of NASA’s open science data and information, has prototyped integrating INDUS into its search engine. Initial results have shown that INDUS improved the accuracy and relevancy of the returned results.”
INDUS enhances scientific research by providing researchers with improved access to vast amounts of specialized knowledge. INDUS can understand complex scientific concepts and reveal new research directions based on existing data. It also enables researchers to extract relevant information from a wide array of sources, improving efficiency. Aligned with NASA and IBM’s commitment to open and transparent artificial intelligence, the INDUS models are openly available on Hugging Face. For the benefit of the scientific community, the team has released the developed models and will release the benchmark datasets that span named entity recognition for climate change, extractive QA for Earth science, and information retrieval for multiple domains. The INDUS encoder models are adaptable for science domain applications, and the INDUS retriever models support information retrieval in RAG applications.
A paper on INDUS, “INDUS: Effective and Efficient Language Models for Scientific Applications,” is available on arxiv.org.
Learn more about the Science Discovery Engine here.
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By European Space Agency
Two large asteroids will safely pass Earth this week, a rare occurrence perfectly timed to commemorate this year's Asteroid Day. Neither poses any risk to our planet, but one of them was only discovered a week ago, highlighting the need to continue improving our ability to detect potentially hazardous object in our cosmic neighbourhood.
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