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By Space Force
The activation of S4S was part of U.S. Space Force’s plan to normalize the presentation of space forces across combatant commands and most efficiently meet the challenges presented by the dynamic national security environment and the return to Great Power Competition.
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By NASA
1 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
NASA’s Office of Technology, Policy, and Strategy, shares highlights from the office in 2024, including key accomplishments and collaborations that support the NASA mission. Read the full report, NASA’s Office of Technology, Policy, and Strategy: A Year in Review 2024
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Last Updated Dec 18, 2024 EditorBill Keeter Related Terms
Office of Technology, Policy and Strategy (OTPS) View the full article
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By NASA
Michelle Dominguez proudly displays her award at the Women of Color STEM Conference in Detroit, Michigan, October 2024.NASA Dorcas Kaweesa holding her award at the Women of Color STEM Conference in Detroit, Michigan, October 2024. NASA In October 2024, Michelle Dominguez and Dorcas Kaweesa from the Ames Aeromechanics Office were each awarded as a “Technology Rising Star” at the Women of Color STEM Conference in Detroit, Michigan. Rising Star awards are for “young women, with 21 years or less in the workforce, who are helping to shape technology for the future.” Ms. Dominguez is a Mechanical Systems Engineer working on rotorcraft design for vertical-lift vehicles such as air taxis and Mars helicopters. Dr. Kaweesa is a Structural Analysis Engineer and Deputy Manager for planetary rotorcraft initiatives including Mars Exploration Program and Mars Sample Return. More information on this award is at https://intouch.ccgmag.com/mpage/woc-stem-conference-awardees .
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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
Curiosity Navigation Curiosity Home Mission Overview Where is Curiosity? Mission Updates Science Overview Instruments Highlights Exploration Goals News and Features Multimedia Curiosity Raw Images Images Videos Audio Mosaics More Resources Mars Missions Mars Sample Return Mars Perseverance Rover Mars Curiosity Rover MAVEN Mars Reconnaissance Orbiter Mars Odyssey More Mars Missions The Solar System The Sun Mercury Venus Earth The Moon Mars Jupiter Saturn Uranus Neptune Pluto & Dwarf Planets Asteroids, Comets & Meteors The Kuiper Belt The Oort Cloud 3 min read
4375-4381: A Stuffed Holiday Plan
NASA’s Mars rover Curiosity captured this image of raised polygonal ridges on a rock in its workspace, intriguing to mission geologists. The rover used its Mast Camera (Mastcam) to capture the image on sol 4369 – Martian day 4,369 of the Mars Science Laboratory mission – on Nov. 20, 2024 at 04:29:24 UTC. NASA/JPL-Caltech/MSSS Earth planning date: Monday, Nov. 25, 2024
Today we planned a mammoth seven-sol plan, to cover the U.S. Thanksgiving holiday period. Unfortunately, our weekend drive ended a little early and we didn’t receive all of our needed confirmation imagery. At 7 feet high and weighing about 2,000 pounds, the rover itself is as big as a large car (check out this page, with a 3D interactive model of the rover, and more details about its dimensions). However, the contact science instruments are at the end of the arm, which stretches for another 7 feet (2.1 meters) when fully extended — for example, when reaching for a target in the workspace. We really need those confirmation images to be sure that all six wheels are firmly planted on the ground before taking out the arm to do contact science — no one wants our rover to be all wibbly-wobbly, like a giant tower of Thanksgiving jello!
So, no APXS or MAHLI this Thanksgiving; but we have so many other activities, it’s a very stuffed plan. Mastcam has more than five hours of activity across the plan. A planned mosaic of Texoli butte and surrounding area grew so large, it was split into two distinct activities of a 50×4 mosaic (four rows of 50 images) and a 50×1 mosaic.
This dusty workspace has so many interesting features, with abundant spherical nodular or concretionary features (typically less than 2 centimeters, or 0.79 inches, in diameter), thin dark-toned layers interbedded with the more dominant paler-colored bedrock and some well-preserved polygonal ridges. Mastcam will image the workspace in a 4×4 mosaic, giving us a lot more information on nodule size and distribution, and on the relative stratigraphic placement of the darker-toned layers, polygonal raised ridges (like those in the accompanying image), and nodules. A second (4×3) mosaic to the right of the rover at “Saurian Crest” looks at variations in bedding layers. ChemCam will take LIBS measurements on some of the larger nodular areas at “Golden Bear Lake” and “Frying Pan Lake” and a further measurement on part of a polygonal ridge at “Caltech Peak.”
The environmental theme group (ENV) will run activities across the plan too. The REMS instrument will acquire data right across the week. A series of single frame change detection Mastcam images on two areas of converging ripples (“Ostrander Hut”) are planned — these will be taken on three different sols to look for changes in the sediment pattern, which could give information on wind movement, strength, and direction. Mastcam will take three “tau” measurements, imaging the sky to quantify the amount of dust in the atmosphere, and Navcam will acquire dust-devil movies and suprahorizon movies on three separate sols.
Our drive on the sixth day of the plan will set us in a new workspace. As one of the NASA engineers said today, we will be looking at “rocks billions of years old, on another planet that has never been looked at before by human eyes” — we have a lot to be grateful for this Thanksgiving holiday!
Written by Catherine O’Connell-Cooper, Planetary Geologist at University of New Brunswick
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Last Updated Dec 02, 2024 Related Terms
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