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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
Sols 4382-4383: Team Work, Dream Work
NASA’s Mars rover Curiosity acquired this image using its Right Navigation Camera on sol 4373 — Martian day 4,373 of the Mars Science Laboratory mission — on Nov. 24, 2024, at 08:32:59 UTC. NASA/JPL-Caltech Earth planning date: Monday, Dec. 2, 2024
Today, after a weeklong holiday break, the team was eager to take a look at Curiosity’s new workspace. After driving 51 meters (about 167 feet) alongside Texoli butte (pictured) we had a whole host of new rocks to examine, and it was one of those curiously perfect planning days where everything falls into place. Our team of geologists here on Earth was busy studying the images our Martian geologist had downlinked to Earth prior to planning, and we scheduled 1.5 hours of science activities on the first sol of this plan. An interesting and varied workspace today saw lots of instruments working together to study the rocks in-depth — teamwork really does make the dream work.
To begin, we are targeting a vertical rock face called “Coronet Lake” near the rover. Coronet Lake has a cluster of nodules on show and we are getting information on the composition of these nodules with APXS and a ChemCam LIBS, as well as a close-up image with our MAHLI instrument. We also have a second MAHLI activity scheduled on a flat rock called “Excelsior Mountain.” Our observant team spotted an interesting-looking rock named “Admiration Point.” This rock may have fallen from the nearby Texoli butte, or could be a meteorite. To test these hypotheses further, we are targeting Admiration Point with a Mastcam mosaic and a ChemCam passive. ChemCam and Mastcam work together again on a target named “Olancha,” an area of rocks that could contain evidence of deformation from when the rocks first formed. Olancha will be targeted with a ChemCam long-distance RMI and a Mastcam mosaic.
Mastcam is finishing off the geological observations here with mosaics of “Angels Camp,” a rock containing veins where water may have once flowed, “Bare Island Lake,” a gray rock containing interesting polygonal ridges, and a trough feature close to Coronet Lake. ChemCam is taking another look back at Gediz Vallis channel to see a transition between light- and dark-toned rocks with a long-distance RMI, and we are rounding off this plan with our standard environmental observations.
As the Geology and Mineralogy theme group Keeper of the Plan for today’s planning, I made sure that this sol was packed full of science activities that the team wanted to schedule. After this busy first sol, Curiosity will be driving about 50 meters (about 164 feet), continuing to make our way out of Gediz Vallis, and we are all very excited to see what the rest of the sulfate-bearing unit has to offer us.
Written by Emma Harris, graduate student at Natural History Museum, London
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By NASA
9 Min Read Towards Autonomous Surface Missions on Ocean Worlds
Artist’s concept image of a spacecraft lander with a robot arm on the surface of Europa. Credits:
NASA/JPL – Caltech Through advanced autonomy testbed programs, NASA is setting the groundwork for one of its top priorities—the search for signs of life and potentially habitable bodies in our solar system and beyond. The prime destinations for such exploration are bodies containing liquid water, such as Jupiter’s moon Europa and Saturn’s moon Enceladus. Initial missions to the surfaces of these “ocean worlds” will be robotic and require a high degree of onboard autonomy due to long Earth-communication lags and blackouts, harsh surface environments, and limited battery life.
Technologies that can enable spacecraft autonomy generally fall under the umbrella of Artificial Intelligence (AI) and have been evolving rapidly in recent years. Many such technologies, including machine learning, causal reasoning, and generative AI, are being advanced at non-NASA institutions.
NASA started a program in 2018 to take advantage of these advancements to enable future icy world missions. It sponsored the development of the physical Ocean Worlds Lander Autonomy Testbed (OWLAT) at NASA’s Jet Propulsion Laboratory in Southern California and the virtual Ocean Worlds Autonomy Testbed for Exploration, Research, and Simulation (OceanWATERS) at NASA’s Ames Research Center in Silicon Valley, California.
NASA solicited applications for its Autonomous Robotics Research for Ocean Worlds (ARROW) program in 2020, and for the Concepts for Ocean worlds Life Detection Technology (COLDTech) program in 2021. Six research teams, based at universities and companies throughout the United States, were chosen to develop and demonstrate autonomy solutions on OWLAT and OceanWATERS. These two- to three-year projects are now complete and have addressed a wide variety of autonomy challenges faced by potential ocean world surface missions.
OWLAT
OWLAT is designed to simulate a spacecraft lander with a robotic arm for science operations on an ocean world body. The overall OWLAT architecture including hardware and software components is shown in Figure 1. Each of the OWLAT components is detailed below.
Figure 1. The software and hardware components of the Ocean Worlds Lander Autonomy Testbed and the relationships between them. NASA/JPL – Caltech The hardware version of OWLAT (shown in Figure 2) is designed to physically simulate motions of a lander as operations are performed in a low-gravity environment using a six degrees-of-freedom (DOF) Stewart platform. A seven DOF robot arm is mounted on the lander to perform sampling and other science operations that interact with the environment. A camera mounted on a pan-and-tilt unit is used for perception. The testbed also has a suite of onboard force/torque sensors to measure motion and reaction forces as the lander interacts with the environment. Control algorithms implemented on the testbed enable it to exhibit dynamics behavior as if it were a lightweight arm on a lander operating in different gravitational environments.
Figure 2. The Ocean Worlds Lander Autonomy Testbed. A scoop is mounted to the end of the testbed robot arm. NASA/JPL – Caltech The team also developed a set of tools and instruments (shown in Figure 3) to enable the performance of science operations using the testbed. These various tools can be mounted to the end of the robot arm via a quick-connect-disconnect mechanism. The testbed workspace where sampling and other science operations are conducted incorporates an environment designed to represent the scene and surface simulant material potentially found on ocean worlds.
Figure 3. Tools and instruments designed to be used with the testbed. NASA/JPL – Caltech The software-only version of OWLAT models, visualizes, and provides telemetry from a high-fidelity dynamics simulator based on the Dynamics And Real-Time Simulation (DARTS) physics engine developed at JPL. It replicates the behavior of the physical testbed in response to commands and provides telemetry to the autonomy software. A visualization from the simulator is shown on Figure 4.
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Figure 7. Screenshot of OceanWATERS lander on a terrain modeled from the Atacama Desert. A scoop operation has just been completed. NASA/JPL – Caltech The autonomy software module shown at the top in Figure 1 interacts with the testbed through a Robot Operating System (ROS)-based interface to issue commands and receive telemetry. This interface is defined to be identical to the OceanWATERS interface. Commands received from the autonomy module are processed through the dispatcher/scheduler/controller module (blue box in Figure 1) and used to command either the physical hardware version of the testbed or the dynamics simulation (software version) of the testbed. Sensor information from the operation of either the software-only or physical testbed is reported back to the autonomy module using a defined telemetry interface. A safety and performance monitoring and evaluation software module (red box in Figure 1) ensures that the testbed is kept within its operating bounds. Any commands causing out of bounds behavior and anomalies are reported as faults to the autonomy software module.
Figure 5. Erica Tevere (at the operator’s station) and Ashish Goel (at the robot arm) setting up the OWLAT testbed for use. NASA/JPL – Caltech OceanWATERS
At the time of the OceanWATERS project’s inception, Jupiter’s moon Europa was planetary science’s first choice in searching for life. Based on ROS, OceanWATERS is a software tool that provides a visual and physical simulation of a robotic lander on the surface of Europa (see Figure 6). OceanWATERS realistically simulates Europa’s celestial sphere and sunlight, both direct and indirect. Because we don’t yet have detailed information about the surface of Europa, users can select from terrain models with a variety of surface and material properties. One of these models is a digital replication of a portion of the Atacama Desert in Chile, an area considered a potential Earth-analog for some extraterrestrial surfaces.
Figure 6. Screenshot of OceanWATERS. NASA/JPL – Caltech JPL’s Europa Lander Study of 2016, a guiding document for the development of OceanWATERS, describes a planetary lander whose purpose is collecting subsurface regolith/ice samples, analyzing them with onboard science instruments, and transmitting results of the analysis to Earth.
The simulated lander in OceanWATERS has an antenna mast that pans and tilts; attached to it are stereo cameras and spotlights. It has a 6 degree-of-freedom arm with two interchangeable end effectors—a grinder designed for digging trenches, and a scoop for collecting ground material. The lander is powered by a simulated non-rechargeable battery pack. Power consumption, the battery’s state, and its remaining life are regularly predicted with the Generic Software Architecture for Prognostics (GSAP) tool. To simulate degraded or broken subsystems, a variety of faults (e.g., a frozen arm joint or overheating battery) can be “injected” into the simulation by the user; some faults can also occur “naturally” as the simulation progresses, e.g., if components become over-stressed. All the operations and telemetry (data measurements) of the lander are accessible via an interface that external autonomy software modules can use to command the lander and understand its state. (OceanWATERS and OWLAT share a unified autonomy interface based on ROS.) The OceanWATERS package includes one basic autonomy module, a facility for executing plans (autonomy specifications) written in the PLan EXecution Interchange Language, or PLEXIL. PLEXIL and GSAP are both open-source software packages developed at Ames and available on GitHub, as is OceanWATERS.
Mission operations that can be simulated by OceanWATERS include visually surveying the landing site, poking at the ground to determine its hardness, digging a trench, and scooping ground material that can be discarded or deposited in a sample collection bin. Communication with Earth, sample analysis, and other operations of a real lander mission, are not presently modeled in OceanWATERS except for their estimated power consumption. Figure 7 is a video of OceanWATERS running a sample mission scenario using the Atacama-based terrain model.
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Figure 7. Screenshot of OceanWATERS lander on a terrain modeled from the Atacama Desert. A scoop operation has just been completed. NASA/JPL – Caltech Because of Earth’s distance from the ocean worlds and the resulting communication lag, a planetary lander should be programmed with at least enough information to begin its mission. But there will be situation-specific challenges that will require onboard intelligence, such as deciding exactly where and how to collect samples, dealing with unexpected issues and hardware faults, and prioritizing operations based on remaining power.
Results
All six of the research teams funded by the ARROW and COLDTech programs used OceanWATERS to develop ocean world lander autonomy technology and three of those teams also used OWLAT. The products of these efforts were published in technical papers, and resulted in development of software that may be used or adapted for actual ocean world lander missions in the future. The following table summarizes the ARROW and COLDTech efforts.
Principal Investigator (PI) PI Institution Project Testbed Used Purpose of Project ARROW Projects Jonathan Bohren Honeybee Robotics Stochastic PLEXIL (SPLEXIL) OceanWATERS Extended PLEXIL with stochastic decision-making capabilities by employing reinforcement learning techniques. Pooyan Jamshidi University of South Carolina Resource Adaptive Software Purpose-Built for Extraordinary Robotic Research Yields (RASPBERRY SI) OceanWATERS & OWLAT Developed software algorithms and tools for fault root cause identification, causal debugging, causal optimization, and causal-induced verification. COLDTech Projects Eric Dixon Lockheed Martin Causal And Reinforcement Learning (CARL) for COLDTech OceanWATERS Integrated a model of JPL’s mission-ready Cold Operable Lunar Deployable Arm (COLDarm) into OceanWATERS and applied image analysis, causal reasoning, and machine learning models to identify and mitigate the root causes of faults, such as ice buildup on the arm’s end effector. Jay McMahon University of Colorado Robust Exploration with Autonomous Science On-board, Ranked Evaluation of Contingent Opportunities for Uninterrupted Remote Science Exploration (REASON-RECOURSE) OceanWATERS Applied automated planning with formal methods to maximize science return of the lander while minimizing communication with ground team on Earth. Melkior Ornik U Illinois, Urbana-Champaign aDaptive, ResIlient Learning-enabLed oceAn World AutonomY (DRILLAWAY) OceanWATERS & OWLAT Developed autonomous adaptation to novel terrains and selecting scooping actions based on the available image data and limited experience by transferring the scooping procedure learned from a low-fidelity testbed to the high-fidelity OWLAT testbed. Joel Burdick Caltech Robust, Explainable Autonomy for Scientific Icy Moon Operations (REASIMO) OceanWATERS & OWLAT Developed autonomous 1) detection and identification of off-nominal conditions and procedures for recovery from those conditions, and 2) sample site selection Acknowledgements: The portion of the research carried out at the Jet Propulsion Laboratory, California Institute of Technology was performed under a contract with the National Aeronautics and Space Administration (80NM0018D0004). The portion of the research carried out by employees of KBR Wyle Services LLC at NASA Ames Research Center was performed under a contract with the National Aeronautics and Space Administration (80ARC020D0010). Both were funded by the Planetary Science Division ARROW and COLDTech programs.
Project Leads: Hari Nayar (NASA Jet Propulsion Laboratory, California Institute of Technology), K. Michael Dalal (KBR, Inc. at NASA Ames Research Center)
Sponsoring Organizations: NASA SMD PESTO
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By NASA
Scientists find that cometary dust affects interpretation of spacecraft measurements, reopening the case for comets like 67P as potential sources of water for early Earth.
Researchers have found that water on Comet 67P/Churyumov–Gerasimenko has a similar molecular signature to the water in Earth’s oceans. Contradicting some recent results, this finding reopens the case that Jupiter-family comets like 67P could have helped deliver water to Earth.
Water was essential for life to form and flourish on Earth and it remains central for Earth life today. While some water likely existed in the gas and dust from which our planet materialized around 4.6 billion years ago, much of the water would have vaporized because Earth formed close to the Sun’s intense heat. How Earth ultimately became rich in liquid water has remained a source of debate for scientists.
Research has shown that some of Earth’s water originated through vapor vented from volcanoes; that vapor condensed and rained down on the oceans. But scientists have found evidence that a substantial portion of our oceans came from the ice and minerals on asteroids, and possibly comets, that crashed into Earth. A wave of comet and asteroid collisions with the solar system’s inner planets 4 billion years ago would have made this possible.
This image, taken by ESA’s Rosetta navigation camera, was taken from a about 53 miles from the center of Comet 67P/Churyumov-Gerasimenko on March 14, 2015. The image resolution is 24 feet per pixel and is cropped and processed to bring out the details of the comet’s activity. ESA/Rosetta/NAVCAM While the case connecting asteroid water to Earth’s is strong, the role of comets has puzzled scientists. Several measurements of Jupiter-family comets — which contain primitive material from the early solar system and are thought to have formed beyond the orbit of Saturn — showed a strong link between their water and Earth’s. This link was based on a key molecular signature scientists use to trace the origin of water across the solar system.
This signature is the ratio of deuterium (D) to regular hydrogen (H) in the water of any object, and it gives scientists clues about where that object formed. Deuterium is a rare, heavier type — or isotope — of hydrogen. When compared to Earth’s water, this hydrogen ratio in comets and asteroids can reveal whether there’s a connection.
Because water with deuterium is more likely to form in cold environments, there’s a higher concentration of the isotope on objects that formed far from the Sun, such as comets, than in objects that formed closer to the Sun, like asteroids.
Measurements within the last couple of decades of deuterium in the water vapor of several other Jupiter-family comets showed similar levels to Earth’s water.
“It was really starting to look like these comets played a major role in delivering water to Earth,” said Kathleen Mandt, planetary scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. Mandt led the research, published in Science Advances on Nov. 13, that revises the abundance of deuterium in 67P.
About Kathleen Mandt
But in 2014, ESA’s (European Space Agency) Rosetta mission to 67P challenged the idea that Jupiter-family comets helped fill Earth’s water reservoir. Scientists who analyzed Rosetta’s water measurements found the highest concentration of deuterium of any comet, and about three times more deuterium than there is in Earth’s oceans, which have about 1 deuterium atom for every 6,420 hydrogen atoms.
“It was a big surprise and it made us rethink everything,” Mandt said.
Mandt’s team decided to use an advanced statistical-computation technique to automate the laborious process of isolating deuterium-rich water in more than 16,000 Rosetta measurements. Rosetta made these measurements in the “coma” of gas and dust surrounding 67P. Mandt’s team, which included Rosetta scientists, was the first to analyze all of the European mission’s water measurements spanning the entire mission.
The researchers wanted to understand what physical processes caused the variability in the hydrogen isotope ratios measured at comets. Lab studies and comet observations showed that cometary dust could affect the readings of the hydrogen ratio that scientists detect in comet vapor, which could change our understanding of where comet water comes from and how it compares to Earth’s water.
What are comets made of? It’s one of the questions ESA’s Rosetta mission to comet 67P/Churyumov-Gerasimenko wanted to answer. “So I was just curious if we could find evidence for that happening at 67P,” Mandt said. “And this is just one of those very rare cases where you propose a hypothesis and actually find it happening.”
Indeed, Mandt’s team found a clear connection between deuterium measurements in the coma of 67P and the amount of dust around the Rosetta spacecraft, showing that the measurements taken near the spacecraft in some parts of the coma may not be representative of the composition of a comet’s body.
As a comet moves in its orbit closer to the Sun, its surface warms up, causing gas to release from the surface, including dust with bits of water ice on it. Water with deuterium sticks to dust grains more readily than regular water does, research suggests. When the ice on these dust grains is released into the coma, this effect could make the comet appear to have more deuterium than it has.
Mandt and her team reported that by the time dust gets to the outer part of the coma, at least 75 miles from the comet body, it is dried out. With the deuterium-rich water gone, a spacecraft can accurately measure the amount of deuterium coming from the comet body.
This finding, the paper authors say, has big implications not only for understanding comets’ role in delivering Earth’s water, but also for understanding comet observations that provide insight into the formation of the early solar system.
“This means there is a great opportunity to revisit our past observations and prepare for future ones so we can better account for the dust effects,” Mandt said.
By Lonnie Shekhtman
NASA’s Goddard Space Flight Center, Greenbelt, Md.
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Last Updated Dec 03, 2024 Editor Lonnie Shekhtman Contact Lonnie Shekhtman lonnie.shekhtman@nasa.gov Location Goddard Space Flight Center Related Terms
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By NASA
8 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Virtual meetings feeling a little stale? NASA has just unveiled a suite of new Artemis backgrounds to elevate your digital workspace.
From the majesty of the Artemis I launch lighting up the night sky to the iconic image of the Orion spacecraft with the Moon and Earth in view, these virtual backgrounds allow viewers to relive the awe-inspiring moments of Artemis I and glimpse the bright future that lies ahead as the Artemis campaign enables humans to live and work at the Moon’s South Pole region.
Scroll through to download your next virtual background for work, school, or just for fun, and learn about all things Artemis as the agency and its partners cross off milestones leading up to Artemis II and missions beyond.
Artemis I Launch
Credit: NASA/Bill Ingalls NASA’s SLS (Space Launch System) rocket carrying the Orion spacecraft launches on the Artemis I flight test on Nov. 16, 2022, from Launch Complex 39B at NASA’s Kennedy Space Center in Florida. NASA’s Artemis I mission was the first integrated flight test of the agency’s deep space exploration systems: the Orion spacecraft, SLS rocket, and ground systems. SLS and Orion launched at 1:47 a.m. EST from Launch Pad 39B at Kennedy.
Artemis II Crew
Credit: NASA Meet the astronauts who will fly around the Moon during the Artemis II mission. From left are Commander Reid Wiseman, Pilot Victor Glover, and Mission Specialist Christina Koch from NASA, and Mission Specialist Jeremy Hansen from the Canadian Space Agency.
Astronaut Regolith
Credit: NASA An artist’s concept of two suited Artemis crew members working on the lunar surface. The samples collected during future Artemis missions will continue to advance our knowledge of the solar system and help us understand the history and formation of Earth and the Moon, uncovering some of the mysteries that have long eluded scientists.
Exploration Ground Systems
Credit: NASA NASA’s mobile launcher, atop Crawler Transporter-2, is at the entrance to High Bay 3 at the Vehicle Assembly Building (VAB) on Sept. 8, 2018, at NASA’s Kennedy Space Center in Florida. This is the first time that the modified mobile launcher made the trip to the pad and the VAB. The mobile launcher is the structure that is used to assemble, process, and launch the SLS rocket.
Credit: NASA/Joel Kowsky NASA’s SLS rocket with the Orion spacecraft aboard is seen atop a mobile launcher at Launch Pad 39B on Nov. 4, 2022, as Crawler Transporter-2 departs the pad following rollout at NASA’s Kennedy Space Center in Florida.
Credit: NASA After Orion splashed down in the Pacific Ocean, west of Baja California, the spacecraft was recovered by personnel on the USS Portland from the U.S. Department of Defense, including Navy amphibious specialists, Space Force weather specialists, and Air Force specialists, as well as engineers and technicians from NASA’s Kennedy Space Center in Florida, the agency’s Johnson Space Center in Houston, and Lockheed Martin Space Operations. Personnel from NASA’s Exploration Ground Systems led the recovery efforts.
Credit: NASA/Keegan Barber NASA’s SLS (Space Launch System) rocket with the Orion spacecraft aboard is seen atop a mobile launcher as it rolls out to Launch Complex 39B for the first time on March 17, 2022, at NASA’s Kennedy Space Center in Florida. At left is the Vehicle Assembly Building.
First Woman
Credit: NASA “First Woman” graphic novel virtual background featuring an illustration of the inside of a lunar space station outfitted with research racks and computer displays. To learn more about the graphic novel and interactive experiences, visit: nasa.gov/calliefirst/
Credit: NASA “First Woman” graphic novel virtual background featuring the illustration of the inside of a lunar space station outfitted with research racks and computer displays, along with zero-g indicator suited rubber duckies floating throughout. To learn more about the graphic novel and interactive experiences, visit: nasa.gov/calliefirst/
Credit: NASA This “First Woman” graphic novel virtual background features an illustrated scene from a lunar mission. At a lunar camp, one suited astronaut flashes the peace sign while RT, the robot sidekick, waves in the foreground. To learn more about the graphic novel and interactive experiences, visit: nasa.gov/calliefirst/
Gateway
Credit: NASA The Gateway space station hosts the Orion spacecraft and SpaceX’s deep space logistics spacecraft in a polar orbit around the Moon, supporting scientific discovery on the lunar surface during the Artemis IV mission.
Credit: Northrop Grumman and Thales Alenia Space The Gateway space station’s HALO (Habitation and Logistics Outpost) module, one of two of Gateway’s habitation elements where astronauts will live, conduct science, and prepare for lunar surface missions, successfully completed welding in Turin, Italy. Following a series of tests to ensure its safety, the future home for astronauts will travel to Gilbert, Arizona, for final outfitting ahead of launch to lunar orbit. Gateway will be humanity’s first space station in lunar orbit and is an essential component of the Artemis campaign to return humans to the Moon for scientific discovery and chart a path for human missions to Mars.
Lunar Surface
Credit: SpaceX Artist’s concept of SpaceX Starship Human Landing System, or HLS, which is slated to transport astronauts to and from the lunar surface during Artemis III and IV.
Credit: Blue Origin Artist’s concept of Blue Origin’s Blue Moon MK-2 human lunar lander, which is slated to land astronauts on the Moon during Artemis V.
Credit: NASA The “Moon buggy” for NASA’s Artemis missions, the Lunar Terrain Vehicle (LTV), is seen here enabling a pair of astronauts to explore more of the Moon’s surface and conduct science research farther away from the landing site. NASA has selected Intuitive Machines, Lunar Outpost, and Venturi Astrolab to advance capabilities for an LTV.
Credit: JAXA/Toyota An artist’s concept of the pressurized rover — which is being designed, developed, and operated by JAXA (Japan Aerospace Exploration Agency) — is seen driving across the lunar terrain. The pressurized rover will serve as a mobile habitat and laboratory for the astronauts to live and work for extended periods of time on the Moon.
Logo
Credit: NASA The NASA “meatball” logo. The round red, white, and blue insignia was designed by employee James Modarelli in 1959, NASA’s second year. The design incorporates references to different aspects of NASA’s missions.
Credit: NASA The NASA meatball logo (left) and Artemis logo side by side.
Moon Phases
Credit: NASA The different phases of the Moon, shown in variations of shadowing, extend across this virtual background.
Orion
Credit: NASA On flight day 5 during Artemis I, the Orion spacecraft took a selfie while approaching the Moon ahead of the outbound powered flyby — a burn of Orion’s main engine that placed the spacecraft into lunar orbit. During this maneuver, Orion came within 81 miles of the lunar surface.
Credit: NASA On flight day 13 during Artemis I, Orion reached its maximum distance from Earth at 268,563 miles away from our home planet, traveling farther than any other spacecraft built for humans.
Credit: NASA This first high-resolution image, taken on the first day of the Artemis I mission, was captured by a camera on the tip of one of Orion’s solar arrays. The spacecraft was 57,000 miles from home and distancing itself from planet Earth as it approached the Moon and distant retrograde orbit.
Silhouettes
Credit: NASA In this virtual background, various scenes from Earth, Moon, and Mars are depicted within the silhouette outlines of three suited astronauts, artistically representing the interconnected nature of human space exploration from low Earth orbit to the Moon and, one day, human missions to Mars.
SLS (Space Launch System)
Credit: Joel Kowsky In this sunrise photo at NASA’s Kennedy Space Center in Florida, NASA’s SLS rocket with the Orion spacecraft aboard is seen atop the mobile launcher at Launch Pad 39B as preparations continued for the Artemis I launch.
Credit: NASA/Joel Kowsky In this close-up image, NASA’s SLS rocket with the Orion spacecraft aboard is seen atop the mobile launcher at Launch Pad 39B on Nov. 12, 2022, at NASA’s Kennedy Space Center in Florida.
Credit: NASA/Joel Kowsky NASA’s SLS rocket with the Orion spacecraft aboard is seen at sunrise atop the mobile launcher at Launch Pad 39B on Nov. 7, 2022, at NASA’s Kennedy Space Center in Florida.
Earth, Moon, and Mars
Credit: NASA From left, an artist’s concept of the Moon, Earth, and Mars sharing space. NASA’s long-term goal is to send humans to Mars, and we will use what we learn at the Moon to help us get there. This is the agency’s Moon to Mars exploration approach.
Credit: NASA In this artist’s concept, the upper portion of a blended sphere represents the Earth, Moon, and Mars.
Credit: NASA An artist’s concept showing, from left, the Earth, Moon, and Mars in sequence. Mars remains our horizon goal for human exploration because it is a rich destination for scientific discovery and a driver of technologies that will enable humans to travel and explore far from Earth.
About the Author
Catherine E. Williams
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Last Updated Dec 02, 2024 Related Terms
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NASA AI, Open Science Advance Natural Disaster Research and Recovery
Hurricane Ida is pictured as a category 2 storm from the International Space Station as it orbited 264 miles above the Gulf of Mexico. In the foreground is the Canadarm2 robotic arm with Dextre, the fine-tuned robotic hand, attached. NASA By Lauren Perkins
When you think of NASA, disasters such as hurricanes may not be the first thing to come to mind, but several NASA programs are building tools and advancing science to help communities make more informed decisions for disaster planning.
Empowered by NASA’s commitment to open science, the NASA Disasters Program supports disaster risk reduction, response, and recovery. A core element of the Disasters Program is providing trusted, timely, and actionable data to aid organizations actively responding to disasters.
Hurricane Ida made landfall in Louisiana Aug. 21, 2021, as a category 4 hurricane, one of the deadliest and most destructive hurricanes in the continental United States on record. The effects of the storm were widespread, causing devastating damage and affecting the lives of millions of people.
During Hurricane Ida, while first responders and other organizations addressed the storm’s impacts from the ground, the NASA Disasters program was able to provide a multitude of remotely sensed products. Some of the products and models included information on changes in soil moisture, changes in vegetation, precipitation accumulations, flood detection, and nighttime lights to help identify areas of power outages.
Image Before/After The NASA team shared the data with its partners on the NASA Disasters Mapping Portal and began participating in cross-agency coordination calls to determine how to further aid response efforts. To further connect and collaborate using open science efforts, NASA Disasters overlaid publicly uploaded photos on their Damage Proxy Maps to provide situational awareness of on-the-ground conditions before, during, and after the storm.
Immediate post-storm response is critical to saving lives; just as making informed, long- term response decisions are critical to providing equitable recovery solutions for all. One example of how this data can be used is blue tarp detection in the aftermath of Hurricane Ida.
Using artificial intelligence (AI) with NASA satellite images, the Interagency Implementation and Advanced Concepts Team (IMPACT), based at NASA’s Marshall Space Flight Center in Huntsville, Alabama, conducted a study to detect the number of blue tarps on rooftops in the aftermath of hurricanes, such as Ida, as a way of characterizing the severity of damage in local communities.
An aerial photograph shows damaged roofs from Hurricane Maria in 2017 in Barrio Obrero, Puerto Rico. In the wake of the hurricane, the Federal Emergency Management Agency (FEMA) and United States Army Corps of Engineers distributed 126,000 blue tarps and nearly 60,000 temporary blue roofs to people awaiting repairs on damaged homes. NASA While disasters cannot be avoided altogether, timely and accessible information helps communities worldwide reduce risk, improve response, hasten recovery, and build disaster resilience.
Through an initiative led by NASA’s Office of the Chief Science Data Officer, NASA and IBM are developing five open-source artificial intelligence foundation models trained on NASA’s expansive satellite repositories. This effort will help make NASA’s vast, ever-growing amounts of data more accessible and usable. Leveraging NASA’s AI expertise allows users to make faster, more informed decisions. User applications of the Prithvi Earth Foundation Models could range from identifying flood risks and predicting crop yields to forecasting long range atmospheric weather patterns.
“NASA is dedicated to ensuring that our scientific data are accessible and beneficial to all. Our AI foundation models are scientifically validated and adaptable to new data, designed to maximize efficiency and lower technical barriers. This ensures that even in the face of challenging disasters, response teams can be swift and effective,” said Kevin Murphy, NASA’s chief science data officer. “Through these efforts, we’re not only advancing scientific frontiers, but also delivering tangible societal benefits, providing data that can safeguard lives and improve resilience against future threats.”
Hear directly from some of the data scientists building these AI models, the NASA disaster response team, as well as hurricane hunters that fly directly into these devastating storms on NASA’s Curious Universe podcast.
Learn more about NASA’s AI for Science models at https://science.nasa.gov/artificial-intelligence-science/.
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Last Updated Nov 26, 2024 Related Terms
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