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By NASA
At Goddard Space Flight Center, the GSFC Data Science Group has completed the testing for their SatVision Top-of-Atmosphere (TOA) Foundation Model, a geospatial foundation model for coarse-resolution all-sky remote sensing imagery. The team, comprised of Mark Carroll, Caleb Spradlin, Jordan Caraballo-Vega, Jian Li, Jie Gong, and Paul Montesano, has now released their model for wide application in science investigations.
Foundation models can transform the landscape of remote sensing (RS) data analysis by enabling the pre-training of large computer-vision models on vast amounts of remote sensing data. These models can be fine-tuned with small amounts of labeled training and applied to various mapping and monitoring applications. Because most existing foundation models are trained solely on cloud-free satellite imagery, they are limited to applications of land surface or require atmospheric corrections. SatVision-TOA is trained on all-sky conditions which enables applications involving atmospheric variables (e.g., cloud or aerosol).
SatVision TOA is a 3 billion parameter model trained on 100 million images from Moderate Resolution Imaging Spectroradiometer (MODIS). This is, to our knowledge, the largest foundation model trained solely on satellite remote sensing imagery. By including “all-sky” conditions during pre-training, the team incorporated a range of cloud conditions often excluded in traditional modeling. This enables 3D cloud reconstruction and cloud modeling in support of Earth and climate science, offering significant enhancement for large-scale earth observation workflows.
With an adaptable and scalable model design, SatVision-TOA can unify diverse Earth observation datasets and reduce dependency on task-specific models. SatVision-TOA leverages one of the largest public datasets to capture global contexts and robust features. The model could have broad applications for investigating spectrometer data, including MODIS, VIIRS, and GOES-ABI. The team believes this will enable transformative advancements in atmospheric science, cloud structure analysis, and Earth system modeling.
The model architecture and model weights are available on GitHub and Hugging Face, respectively. For more information, including a detailed user guide, see the associated white paper: SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery.
Examples of image reconstruction by SatVision-TOA. Left: MOD021KM v6.1 cropped image chip using MODIS bands [1, 3, 2]. Middle: The same images with randomly applied 8×8 mask patches, masking 60% of the original image. Right: The reconstructed images produced by the model, along with their respective Structural Similarity Index Measure (SSIM) scores. These examples illustrate the model’s ability to preserve structural detail and reconstruct heterogeneous features, such as cloud textures and land-cover transitions, with high fidelity.NASAView the full article
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By NASA
Learn Home Eclipse Soundscapes AudioMoth… Audio Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Stories Science Activation Highlights Citizen Science 3 min read
Eclipse Soundscapes AudioMoth Donations Will Study Nature at Night
During the April 8, 2024 total solar eclipse, approximately 770 AudioMoth recording devices were used to capture sound data as part of the Eclipse Soundscapes Project — a multisensory participatory science (also known as “citizen science”) project that is studying how eclipses impact life on Earth. Following the eclipse, participants had the option to keep or send back their AudioMoth device for donation. Fifty-two AudioMoths were sent back to Eclipse Soundscapes (ES) so that ES could donate them to projects or communities for future scientific usage. Eighteen of those AudioMoths have been donated to Dark Sky Missouri, an initiative to protect our night skies and the creatures that depend on them. On Wednesday, August 21, 2024, at 3 p.m. EST, Eclipse Soundscapes hosted a webinar with Dark Sky Missouri founder Don Ficken to learn more about how these AudioMoths will contribute to future participatory science.
Don Ficken is a Missouri Master Naturalist and amateur astronomer who found the Eclipse Soundscapes Project through SciStarter, an organization that helps bring together millions of curious and concerned people in the world to engage in real-world research questions through citizen science. He participated as a Data Collector in 2024. “[The Eclipse Soundscapes Project] opened up a door for me because I never really thought about sound acoustics in this way,” Ficken said.
It occurred to Ficken that acoustics could help bolster Dark Sky Missouri’s efforts to study and conserve night time wildlife. One of these efforts, Lights Out Heartland, encourages homeowners and businesses to minimize artificial light usage in order to protect migrating birds from collisions due to disorienting bright lights. Ficken hopes to use the AudioMoths to capture the birds’ nocturnal flight calls as they fly over locations like the Gateway Arch, Shaw Nature Reserve, and Missouri Botanical Gardens.
Dark Sky Missouri also hopes to take more general surveys of nature at night by placing AudioMoths in parks and natural areas. Even though parks are not typically open or staffed at night, the AudioMoths could help map the locations and movements of wildlife, creating talking points and learning opportunities for staff and visitors alike.
Both initiatives will be piloted during the fall bird migration, with the goal of developing a framework for an expanded long term project. While there are no opportunities for the general public to get involved in the projects just yet, Ficken says participatory scientists can benefit from the multisensory methods employed in the Eclipse Soundscapes Project. “I think that the thing that they should think about is really the door that acoustics would be opening for them,” he said. “In other words, you don’t have to just visually look at daytime. Think about sound. Think about night.” For more information on how Dark Sky Missouri will use the AudioMoth recorders, read the Eclipse Soundscapes blog post.
The Eclipse Soundscapes Project is supported by NASA under cooperative agreement award number 80NSSC21M0008 and is part of NASA’s Science Activation Portfolio. 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
Dark Sky Missouri will use the donated Eclipse Soundscapes AudioMoths to study bird calls and behavior at night. Share
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Last Updated Aug 28, 2024 Editor NASA Science Editorial Team Related Terms
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By NASA
2 min read
Geospatial AI Foundation Model Team Receives NASA Marshall Group Achievement Award
Rahul Ramachandran of NASA IMPACT, left, Elizabeth Fancher of NASA IMPACT, Ankur Kumar of the University of Alabama in Huntsville (UAH), Sujit Roy of UAH, Raghu Ganti of IBM Research, David McKenzie of NASA, Muthukumaran Ramasubramanian of UAH, Iksha Gurung of UAH, and Manil Maskey of NASA IMPACT, right, accept the NASA Marshall Space Flight Center Group Achievement Award on Thursday, August 15, 2024 at NASA Marshall. NASA NASA’s science efforts aim to empower scientists with the tools to perform research into our planet and universe. To this end, a collaborative effort between NASA and IBM created an AI geospatial foundation model, which was released as an open-source application in 2024.
Trained on vast amounts of NASA Earth science data, the foundation model can be adapted for Earth science applications such as flood, burn scar, and cropland studies. Tailoring the model for a specific task takes far less data than the original training set, providing an easy path for researchers to perform AI-powered studies.
For their groundbreaking work on this project, the development team behind the foundation model has received the NASA Marshall Space Flight Center Group Achievement Award. Their success with the model showcases their commitment to advancing AI and scientific research and will inspire progress in this field for years to come.
The team members from NASA’s Marshall Space Fight Center /IMPACT (Interagency Implementation and Advanced Concepts Team) are:
Rahul Ramachandran Manil Maskey Elizabeth Fancher The team members from the University of Alabama in Huntsville (UAH) are:
Sujit Roy Ankur Kumar Christopher Phillips Iksha Gurung Muthukumaran Ramasubramanian The team members from IBM are:
Ranjini Bangalore Juan Bernabe-Moreno Dario Augusto Borges Oliveira Linsong Chu Blair Edwards Paolo Fraccaro Carlos Gomes Raghu Ganti Adnan Hoque Johannes Jakubik Levente Klein Devyani Lambhate Gabby Nyirjesy Naomi Simumba Johannes Schmude Mudhakar Srivatsa Harini Srinivasan Daniela Szwarcman Rob Parkin Kommy Weldemariam Campbell Watson Bianca Zadrozny The team members from Clark University are:
Hamed Alemohammad Michael Cecil Steve Li Sam Khallaghi Denys Godwin Maryam Ahmadi Fatemeh Kordi To learn more about the NASA projects improving accessible science discovery for the benefit of all, visit the Open Science at NASA page.
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SatSummit brings together leaders in the satellite industry and global development experts for two days of presentations and discussions on using satellite data to address critical development challenges. Rahul Ramachandran (ST11/IMPACT) participated in a panel focused on large earth foundation models, offering an overview of AI foundation models and their potential for societal good. He detailed NASA’s approach to building these models and the agency’s overall strategy, underscoring their importance in advancing Earth science and global development initiatives.
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By NASA
Manil Maskey (ST11/IMPACT) was an invited panelist at the United States Geospatial Intelligence Foundation (USGIF) organized GEOINT Symposium Panel titled “Geo-GPT” for Real-Time Geospatial Discovery. The panel explored the convergence of foundational artificial intelligence models beyond large language models, unveiling the potential for groundbreaking conversational “GeoGPT” capabilities that enable real-time geospatial discovery. The discussion centered on the fusion of language processing, computer vision, and spatial reasoning to enable dynamic and interactive exploration for GEOINT planning and response missions. The panel highlighted how the integration of diverse AI models can enhance the richness and accuracy of geospatial conversational AI experiences. This allows seamless interactions between humans and machines, empowering users to intuitively engage with real-time maps, interrogate them, and receive insights through natural language dialogue. Maskey shared insights on the NASA Science Mission Directorate’s (SMD’s) activities in the development and use of large language models (LLMs) and foundation models.
The USGIF is an educational foundation dedicated to promoting the geospatial intelligence tradecraft. It aims to develop a stronger GEOINT community by bringing together government, industry, academia, professional organizations, and individuals to address national security challenges through geospatial intelligence. The recording of the panel can be found here. – https://www.youtube.com/watch?v=oHzsIe2Kfmo.
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