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Copernicus Sentinel-1: radar vision for Copernicus
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By Space Force
The DARC partnership is completing construction at the first of three sites that will host a global network of advanced ground-based sensors.
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By NASA
On Feb. 11, 2000, space shuttle Endeavour took to the skies on its 14th trip into space on the Shuttle Radar Topography Mission (SRTM). The international STS-99 crew included Commander Kevin Kregel, Pilot Dominic Gorie, and Mission Specialists Gerhard Thiele of Germany representing the European Space Agency, Janet Kavandi, Janice Voss, who served as payload commander on the mission, and Mamoru Mohri of the National Space Development Agency (NASDA) of Japan, now the Japan Aerospace Exploration Agency.
During their 11-day mission, the astronauts used the radar instruments in Endeavour’s payload bay to obtain elevation data on a near global scale. The data produced the most complete, high-resolution digital elevation model of the Earth. The SRTM comprised a cooperative effort among NASA with the Jet Propulsion Laboratory (JPL) in Pasadena, California, managing the project, the Department of Defense’s National Imagery and Mapping Agency, the German space agency, and the Italian space agency. Prior to SRTM, scientists had a more detailed topographic map of Venus than of the Earth, thanks to the Magellan radar mapping mission.
The STS-99 crew patch. Official photo of the STS-99 crew of Janice Voss, left, Mamoru Mohri of the National Space Development Agency of Japan, now the Japan Aerospace Exploration Agency, Kevin Kregel, Dominic Gorie, Gerhard Thiele of Germany representing the European Space Agency, and Janet Kavandi. The Shuttle Radar Topography Mission patch. Schematic of the Space Radar Topography Mission payloads including the deployed mast. The mast antenna during preflight processing. NASA assigned the STS-99 crew in October 1998. For Kregel, selected by NASA as an astronaut in 1992, STS-99 marked his fourth trip to space, having served as pilot on STS-70 and STS-78 and commanded STS-87. Gorie and Kavandi, both selected in 1994, previously flew together as pilot and mission specialist, respectively, on STS-91, the final Shuttle Mir docking mission. Voss, selected in 1990, served as a mission specialist on STS-57 and STS-63, and as payload commander on STS-83 and STS-94. NASDA selected Mohri as an astronaut in 1985 and he previously flew as a payload specialist on STS-47, the Spacelab-J mission. Selected as an astronaut by the German space agency in 1987, Thiele joined the European Astronaut Corps in 1998, completing his first spaceflight on STS-99.
The SRTM used an innovative technique called radar interferometry to image the Earth’s landmasses at resolutions up to 30 times greater than previously achieved. Two of the synthetic aperture radar instruments comprising the SRTM payload had flown previously, on the STS-59 Shuttle Radar Laboratory-1 (SRL-1) and the STS-68 SRL-2 missions in April and October 1994, respectively. A second receiver antenna, placed at the end of a 200-foot deployable mast, enabled the interferometry during SRTM.
The SRTM payload in Endeavour’s cargo bay in the orbiter processing facility. Endeavour rolls out to Launch Pad 39A. The STS-99 crew walks out of crew quarters for the van ride to the launch pad. Workers rolled Endeavour to the Vehicle Assembly Building on Dec. 2 for mating with its external tank and solid rocket boosters, and then out to Launch Pad 39A on Dec. 13. The astronauts traveled to Kennedy to participate in the Terminal Countdown Demonstration Test Jan. 11-14, returning afterwards to Houston for final training. They traveled back to Kennedy on Jan. 27 for the first launch attempt four days later. After two launch attempts, the STS-99 mission prepared to liftoff on Feb. 11, 2000.
Liftoff! Space shuttle Endeavour takes to the skies to begin the STS-99 mission. At 12:43 p.m. EST, Endeavour thundered into the sky from Kennedy’s Launch Pad 39A to begin the STS-99 mission. Thirty-seven minutes later, a brief firing of the orbiter’s two engines placed Endeavour in the proper 145-mile orbit for the radar scanning.
The SRTM instruments in Endeavour’s payload bay with the mast holding the second antenna receiver deployed at right. The antenna at the end of the deployed mast. STS-99 astronauts Janet Kavandi, left, Dominic Gorie, and Mamoru Mohri in Endeavour’s middeck. Astronaut Janice Voss in the commander’s seat on Endeavour’s flight deck. Astronauts Kevin Kregel, left, and Gerhard Thiele on Endeavour’s flight deck. Shortly after reaching orbit, the crew opened the payload bay doors and deployed the shuttle’s radiators. Kavandi and Thiele turned on the instruments, deployed the 200-foot mast, and conducted initial checkouts of the radars. The crew split into two shifts to enable data collection around the clock during the mission. After overseeing the initial activation of the radars, the red shift of Kregel, Kavandi, and Thiele began their first sleep period as the blue shift of Gorie, Voss, and Mohri picked up with activation and began the first data takes.
The major crew activity for SRTM involved changing tapes every 30 minutes. The SRTM generated 332 high density tapes during more than 222 hours of data collection and these recordings covered 99.96 percent of the planned observations. Data collection finished on the mission’s 10th flight day, after which the astronauts reeled the mast back into its container in the payload bay.
EarthKAM image of the greater Boston area. The EarthKAM camera mounted in a space shuttle window. STS-99 crew Earth observation photograph of El Paso, Texas, and Ciudad Juarez, Mexico. STS-99 crew Earth observation photograph of the Galapagos Islands. STS-99 crew Earth observation photograph of the greater New York area. STS-99 crew Earth observation photograph of Erg Chech, or sand sea, in the Algerian Sahara. NASA’s EarthKAM program enabled middle school students to remotely take photographs of the Earth using an electronic still camera mounted in one of the shuttle’s windows. The University of California at San Diego houses the control center for EarthKAM, linked with middle schools via the Internet. Students choose Earth targets of interest, and the camera takes photos of that region as the shuttle passes overhead. A then-record 75 schools from around the world participated in the EarthKAM project on STS-99, the camera returning 2,715 images of the Earth.
The STS-99 astronauts also spent time taking photographs of the Earth using handheld cameras and the high inclination orbit enabled views of some parts of the Earth rarely seen by shuttle astronauts.
The six-person STS-99 crew pose for their inflight photo. Kevin Kregel guides Endeavour to a smooth touchdown on the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida. The STS-99 crew poses with NASA Administrator Daniel Goldin under Endeavour at the Shuttle Landing Facility at NASA’s Kennedy Space Center in Florida. Kevin Kregel addresses the crowd at Houston’s Ellington Field during the welcome home ceremony for the STS-99 crew. On Feb. 22, the crew closed Endeavour’s payload bay doors, donned their launch and entry suits, and strapped themselves into their seats for entry and landing. Kregel piloted Endeavour to a smooth landing on Kennedy’s Shuttle Landing Facility. The crew had flown 181 orbits around the Earth in 11 days, 5 hours, and 39 minutes. Enjoy the crew narrate a video about the STS-99 mission.
Postscript
Final coverage map for the SIR-C radar, indicating 99.96 percent coverage of planned land mass targets, with many areas imaged more than once.
False-color image generated from SRTM data of the island of Oahu. False-color image generated from SRTM data of Mt. Cotopaxi in Ecuador, the tallest active volcano in the world. During the 11-day mission, SRTM collected more than one trillion data points, generating 12.3 terabytes of 3-D data of the Earth. Earnest Paylor, SRTM program scientist at NASA Headquarters in Washington, D.C., called the mission “a magnificent accomplishment.” He cited that SRTM imaged by radar equatorial regions of the Earth previously unmapped due to constant cloud cover.
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By NASA
NASA’s UAVSAR airborne radar instrument captured data in fall 2024 showing the mo-tion of landslides on the Palos Verdes Peninsula following record-breaking rainfall in Southern California in 2023 and another heavy-precipitation winter in 2024. Darker red indicates faster motion.NASA Earth Observatory Analysis of data from NASA radar aboard an airplane shows that the decades-old active landslide area on the Palos Verdes Peninsula has expanded.
Researchers at NASA’s Jet Propulsion Laboratory in Southern California used data from an airborne radar to measure the movement of the slow-moving landslides on the Palos Verdes Peninsula in Los Angeles County. The analysis determined that, during a four-week period in the fall of 2024, land in the residential area slid toward the ocean by as much as 4 inches (10 centimeters) per week.
Portions of the peninsula, which juts into the Pacific Ocean just south of the city of Los Angeles, are part of an ancient complex of landslides and has been moving for at least the past six decades, affecting hundreds of buildings in local communities. The motion accelerated, and the active area expanded following record-breaking rainfall in Southern California in 2023 and heavy precipitation in early 2024.
To create this visualization, the Advanced Rapid Imaging and Analysis (ARIA) team used data from four flights of NASA’s Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) that took place between Sept. 18 and Oct. 17. The UAVSAR instrument was mounted to a Gulfstream III jet flown out of NASA’s Armstrong Flight Research Center in Edwards, California, and the four flights were planned to estimate the speed and direction of the landslides in three dimensions.
In the image above, colors indicate how fast parts of the landslide complex were moving in late September and October, with the darkest reds indicating the highest speeds. The arrows represent the direction of horizontal motion. The white solid lines are the boundaries of the active landslide area as defined in 2007 by the California Geological Survey.
“In effect, we’re seeing that the footprint of land experiencing significant impacts has expanded, and the speed is more than enough to put human life and infrastructure at risk,” said Alexander Handwerger, the JPL landslide scientist who performed the analysis.
The insights from the UAVSAR flights were part of a package of analyses by the ARIA team that also used data from ESA’s (the European Space Agency’s) Copernicus Sentinel-1A/B satellites. The analyses were provided to California officials to support the state’s response to the landslides and made available to the public at NASA’s Disaster Mapping Portal.
Handwerger is also the principal investigator for NASA’s upcoming Landslide Climate Change Experiment, which will use airborne radar to study how extreme wet or dry precipitation patterns influence landslides. The investigation will include flights over coastal slopes spanning the California coastline.
More About ARIA, UAVSAR
The ARIA mission is a collaboration between JPL and Caltech, which manages JPL for NASA, to leverage radar and optical remote-sensing, GPS, and seismic observations for science as well as to aid in disaster response. The project investigates the processes and impacts of earthquakes, volcanoes, landslides, fires, subsurface fluid movement, and other natural hazards.
UAVSAR has flown thousands of radar missions around the world since 2007, studying phenomena such as glaciers and ice sheets, vegetation in ecosystems, and natural hazards like earthquakes, volcanoes, and landslides.
News Media Contacts
Andrew Wang / Jane J. Lee
Jet Propulsion Laboratory, Pasadena, Calif.
626-379-6874 / 818-354-0307
andrew.wang@jpl.nasa.gov / jane.j.lee@jpl.nasa.gov
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Last Updated Jan 31, 2025 Related Terms
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By NASA
3 min read
2023 Entrepreneurs Challenge Winner Skyline Nav AI: Revolutionizing GPS-Independent Navigation with Computer Vision
NASA sponsored Entrepreneurs Challenge events in 2020, 2021, and 2023 to identify innovative ideas and technologies from small business start-ups with the potential to advance the agency’s science goals. To help leverage external funding sources for the development of innovative technologies of interest to NASA, SMD involved the venture capital community in Entrepreneurs Challenge events. Challenge winners were awarded prize money, and in 2023 the total Entrepreneurs Challenge prize value was $1M. Numerous challenge winners have subsequently received funding from both NASA and external sources (e.g., other government agencies or the venture capital community) to further develop their technologies.
Skyline Nav AI, a winner of the 2023 NASA Entrepreneurs Challenge, is pioneering GPS-independent navigation by leveraging cutting-edge computer vision models, artificial intelligence (AI), and edge computing.
Skyline Nav AI’s flagship technology offers precise, real-time geolocation without the need for GPS, Wi-Fi, or cellular networks. The system utilizes machine learning algorithms to analyze terrain and skyline features and match them with preloaded reference datasets, providing up to centimeter-level accuracy in GPS-denied environments. This capability could enable operations in areas where GPS signals are absent, blocked, degraded, spoofed, or jammed, including urban canyons, mountainous regions, and the Moon.
Skyline Nav AI’s flagship technology at work in New York to provide precise location by matching the detected skyline with a reference data set. The red line shows detection by Skyline Nav AI technology, the green line marks the true location in the reference satellite dataset, and the orange line represents the matched location (i.e., the location extracted from the satellite dataset using Skyline Nav AI algorithms). Skyline Nav’s visual navigation technology can deliver accuracy up to five meters, 95% of the time. The AI-powered visual positioning models continuously improve geolocation precision through pixel-level analysis and semantic segmentation of real-time images, offering high reliability without the need for GPS.
In addition to its visual-based AI, Skyline Nav AI’s software is optimized for edge computing, ensuring that all processing occurs locally on the user’s device. This design enables low-latency, real-time decision-making without constant satellite or cloud-based connectivity, making it ideal for disconnected environments such as combat zones or space missions.
Furthermore, Skyline Nav AI’s technology can be integrated with various sensors, including inertial measurement units (IMUs), lidar, and radar, to further enhance positioning accuracy. The combination of visual navigation and sensor fusion can enable centimeter-level accuracy, making the technology potentially useful for autonomous vehicles, drones, and robotics operating in environments where GPS is unreliable.
“Skyline Nav AI aims to provide the world with an accurate, resilient alternative to GPS,” says Kanwar Singh, CEO of Skyline Nav AI. “Our technology empowers users to navigate confidently in even the most challenging environments, and our recent recognition by NASA and other partners demonstrates the value of our innovative approach to autonomous navigation.”
Skyline Nav AI continues to expand its influence through partnerships with organizations such as NASA, the U.S. Department of Defense, and the commercial market. Recent collaborations include projects with MIT, Draper Labs, and AFRL (Air Force Research Laboratory), as well as winning the MOVE America 2024 Pitch competition and being a finalist in SXSW 2024.
Sponsoring Organization: The NASA Science Mission Directorate sponsored the Entrepreneurs Challenge events.
Project Leads: Kanwar Singh, Founder & CEO of Skyline Nav AI
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Last Updated Jan 07, 2025 Related Terms
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