Articles tagged with Radar
A recent study published in Nature Communications found that the Radar COVID app can detect close contacts of infected individuals twice as accurately as manual tracing systems. The trial on La Gomera island detected an average of 6.3 close contacts per infected individual, compared to 3.5 using only manual tracing.
The successful test paves the way for designing a more powerful transmitter to enhance detection and imaging of small objects in near-Earth space. The technology will allow unprecedented detail and sensitivity, increasing our understanding of the Solar System.
Researchers from Cornell University and the National Park Service have pinpointed the location of a wooden fort in Alaska using geophysical imaging techniques and ground-penetrating radar. The fort, called Shiskinoow, was built by the Tlingit people in 1804 as their last physical bulwark against Russian colonization forces.
Boulat Bash demonstrates how quantum methods can substantially increase reliable information sending over covert channels. By applying quantum resources to sensing, he identifies the 'sweet spot' where high noise and low power levels are beneficial for covert operations.
Cornell University researchers estimated the depth of Kraken Mare on Saturn's moon Titan to be at least 1,000 feet, using data from the Cassini mission. The sea is also massive, covering an area nearly as large as all five Great Lakes combined.
Researchers developed a method to identify soil color and structure using ground-penetrating radar, allowing for classification of soils for construction, agriculture, or mining. The technique was tested in Kamennaya Steppe, where it matched actual soil colors 80% of the time.
A new radar system developed by UC San Diego engineers can accurately predict object shapes and sizes in various weather conditions. The two-sensor setup improves imaging quality compared to traditional single-radar systems.
Researchers at Hokkaido University have discovered a possible 1,000-kilometer-long river running deep beneath Greenland's ice sheet. The study suggests that if the valley is open and melting increases, water could flow freely through it, potentially altering future climate change predictions.
Researchers have successfully combined radar and optical observations to study interplanetary dust, gaining insights into meteor mass and composition. By correlating subtle signals in radar data with detailed optical information, scientists can now explore comets and aspects of solar system evolution.
Researchers at Penn State used deep learning to clear up noise in radar satellite data, enabling near real-time observation of volcanic movements. The system can build an accurate picture of the land and its movements, spotting potential warning signs like sudden land shifts.
A team led by CSU Assistant Professor Kyle Horton will study the migratory behavior of Mexican free-tailed bats, tree swallows, and purple martins over three years. The project aims to understand the causes of declining populations due to climate change and habitat changes.
A new surgical technique developed by a Yale-led research team improves blood flow in surgically made blood vessels used in dialysis, resulting in longer-lasting and more robust fistulas. The RADAR procedure also reduces complications compared to the standard technique.
A new surgical procedure called RADAR has been shown to create arteriovenous fistulae that mature more quickly, remain accessible longer, and are less likely to require reintervention. The study suggests this approach may improve clinical outcomes for patients with chronic kidney disease undergoing dialysis.
The Arecibo Observatory successfully tracked asteroid 2020 NK1, determining its orbit and motion. The observations showed the asteroid poses no danger to Earth, with a closest approach in 2043. High-resolution images revealed an elongated shape and diameter of approximately 0.6 miles.
Justin Metcalf, OU assistant professor, received a Young Faculty Award from DARPA to explore how the electromagnetic spectrum has become critically congested. His research aims to develop techniques for radar and communications systems to share frequency bands, enabling defense and commercial users to dynamically share unlicensed bands.
In cluttered environments, bats use lowest broadcast frequencies to detect nearby objects and ignore distant echoes. By ignoring long-delay echoes elicited by initial broadcasts, bats can accurately match echoes with corresponding broadcasts.
Researchers found a statistically significant difference in storm structure between those producing tornadoes and non-tornadic supercells, which could lead to more accurate warnings. The study suggests using polarimetric radar data to identify the orientation of raindrop shapes, potentially improving tornado warning times.
Archaeologists successfully mapped the complete Roman city of Falerii Novi in Italy using advanced ground-penetrating radar technology. The study revealed a bath complex, market, temple, and sprawling network of water pipes, challenging assumptions on Roman urban design.
Tropical Storm Arthur remains poorly organized with strongest storms along the southeastern coast of North Carolina. Infrared data reveals strong thunderstorms with cloud top temperatures as cold as minus 63 degrees Fahrenheit, indicating a high risk of heavy rainfall.
Researchers at IST Austria have demonstrated a new detection technology called microwave quantum illumination that utilizes entangled microwave photons to detect objects in noisy thermal environments. The technology has potential applications for ultra-low power biomedical imaging and security scanners.
The $2.5 million project aims to create compact electronic power systems for military installations, utilizing gallium nitride devices for efficient energy storage and discharging. Machine learning will be used to predict the lifespan of GaN devices and circuits.
The Arecibo Observatory is tracking a near-Earth asteroid called 1998 OR2, which has unique topographic features that resemble a face mask. The asteroid's size and rotation period have been confirmed through observations, and monitoring its trajectory will help improve impact-risk mitigation technologies.
Researchers have developed a more effective method for detecting drones using radar technology, which can help prevent privacy and safety violations. The open database of drone measurements will aid in the development of radar systems and machine learning algorithms.
A new study detects ultra-high-energy neutrinos using radar echoes, a potential breakthrough in studying these elusive particles. Researchers at Ohio State University created an experiment that uses radio waves to detect the cascades of charged particles left by neutrino collisions.
The study revealed that the subsurface at the Chang'E-4 landing site is made of highly porous granular materials embedding boulders of different sizes. The findings suggest a turbulent early galaxy and frequent meteor impacts on the Moon's surface.
Researchers used radar and tools to accurately measure the volume of snow produced through cloud seeding. The study found that three cloud seeding events in Idaho's Payette Basin produced a total of about 282 Olympic-sized swimming pools worth of water.
Researchers have developed a method to accurately measure the volume of snow produced through cloud seeding using radar and other tools. The study found that cloud seeding produced about 282 Olympic-sized swimming pools worth of water in the form of snow, with snow falling from clouds for approximately 67 minutes.
Researchers created a new detection method using radar echoes to identify ultra-high energy particle cascades. This breakthrough could lead to the development of a neutrino telescope capable of detecting high-energy neutrinos with energies beyond current observable range.
A recent study found that the burrowing mayfly population has declined by nearly 84% since 2015, mirroring a decrease in mayfly swarms during annual insect emergence events. This decline is attributed to human stressors such as climate change, runoff from agricultural land, and pesticide use.
Engineers from the University of Kansas are flying a specially equipped Cessna over the Black Hills to measure snow depths and predict streamflow. The goal is to incorporate these measurements into hydrological models to better predict how melting snow affects regional streams and rivers.
Researchers used radar technology to quantify mayfly swarms in the Upper Mississippi River and Western Lake Erie Basin, estimating up to 88 billion mayflies can swarm annually. A 50% decline in population was observed between 2012 and 2019, raising questions about causes of such reductions in mass emergence.
Researchers equipped albatrosses with loggers to monitor over 47 million km2 of the Southern Ocean, finding over 1/3 of boats without AIS were unidentifiable. The Ocean Sentinel project aims to promote independent data collection for conservation through animal innovation.
The study introduces a universal detection method utilizing thermal radiation's intrinsic super-linearity for high-resolution imaging of objects at all scales. This technique enables arbitrarily cranked-up super-resolution factor and applications in various fields such as thermal imaging, self-driving cars, and stealth object detection.
Researchers used 3-D simulations to study how bats detect insect swarms, finding that small insects like mosquitoes become perceivable in large groups. The study's findings could provide insights into the evolution of bat echolocation and have potential applications for defense systems.
A UCI-led team has unveiled the most accurate portrait yet of Antarctica's ice sheet bed topography, revealing stabilizing ridges and deep land canyons. The new map will help scientists predict the continent's vulnerability to future climate warming.
Researchers used a fine-resolution atmospheric radar to make the first measurements of Earth's ionosphere in the Antarctic region. The study provides valuable information about electron density, ion velocity, and temperature in the ionosphere, shedding light on atmospheric and ionospheric phenomena.
A study by Southern Methodist University geophysicists has found evidence of a leak in a West Texas wastewater disposal well between 2007 and 2011. The leak could have contaminated the Rustler Aquifer, used for irrigation and livestock but not drinking water.
Research reveals surface discontinuity plays a significant role in developing nearshore convection systems, sustaining precipitation in coastal areas of Korea. The study found changes in wind stress and potential temperature enable these systems, with roughness changes enhancing convergence and energy transfer.
A team of scientists used satellite data to augment measurements of a 2017 North Korean nuclear test, estimating its yield to be between 245 and 271 kilotonnes. The study demonstrates the value of space-borne InSAR data for measuring underground nuclear tests with greater precision than conventional seismic methods.
Researchers used ground-penetrating radar to resolve 96% of human tracks at White Sands National Monument, gaining insights into biomechanics and extinct fauna. The technique may unlock behavioral and biomechanical archives of Pleistocene animals.
A small sensor combines radar technology with AI to detect unattended children or animals in vehicles with 100% accuracy. It sends out signals that are reflected back by people, animals, and objects, which are then analyzed using built-in AI.
Researchers from Leibniz Institute for Tropospheric Research found that vertical air motions increase ice formation in mixed-phase clouds. This correlation has important implications for understanding the water cycle and predicting precipitation.
Researchers found that coarser radar data provide comparable and sometimes superior results to high-resolution laser scanning data in monitoring forest biodiversity. Better, standardized ground-based biodiversity data are needed nationwide for more effective monitoring.
The professor aims to improve radio frequency sensing systems and enhance consumer wireless communications by sharing the limited electromagnetic spectrum. This collaborative effort enables radar to detect targets with enhanced sensing capability and higher energy efficiency, while allowing wireless communications to access more spectrum.
NASA's Terra satellite captured a visible image of newly formed Tropical Depression 11 over the western Gulf of Mexico on Sept. 17. The storm briefly strengthened into Tropical Storm Imelda, making landfall near Freeport, Texas, and triggering a Tropical Storm Warning.
Researchers have digitized vintage film showing Thwaites Glacier's ice shelf is being thawed by a warming ocean more quickly than expected. This finding contributes to predictions for sea-level rise that would impact coastal communities worldwide.
A team of researchers has digitized and archived over 400,000 km of Antarctic ice-penetrating radar data to track changes in the ice sheet's thickness and englacial features over four decades. The study suggests that the Thwaites Eastern Ice Shelf thinned by 10-33% between 1978 and 2009.
Researchers at UMass Amherst and Cornell Lab of Ornithology have developed a machine learning system called MistNet to analyze large-scale bird migration data. The tool allows for automation of data processing, enabling scientists to extract valuable information on bird migrations over the continental US.
NASA analyzed Tropical Storm Dorian using Suomi NPP satellite images, revealing a compact storm system with powerful thunderstorms. The storm moved across the eastern Caribbean Sea, bringing tropical-storm-force winds to various islands.
The University of Kansas researcher will use a five-year grant to design, build, and fly a radar suite on a helicopter-based unmanned aerial system (UAS) to gather data on glaciers. The UAS will provide greater resolution in its radar measurements, allowing for the measurement of crevasse size and bed topography over the grounding line.
A new AI radar system developed by DGIST can detect subminiature drones flying as far as 3km away, thanks to the use of super-resolution algorithm and AESA radar signal processing technology. The system also integrates GANs-based drone cognition technology for real-time detection and identification.
Researchers have documented a 22-year average sea level rise of 2.2 millimeters per year in the Arctic Ocean using radar measurements from space-based altimetry satellites. The findings reveal significant regional differences, with sea levels rising twice as fast in the Beaufort Gyre and falling along the west coast of Greenland.
Dual-polarization radars in China have improved understanding of precipitation microphysics and quantitative precipitation estimation. The data collected from these radars has been used to validate numerical models and improve hydrometeor classification.
Researchers have demonstrated a new imaging modality that accurately evaluates plaque-based cholesterol, allowing for more timely treatment of atherosclerosis. The technology combines laser photoacoustics and frequency-domain signal processing to detect cholesterol in arterial plaque.
Glaciologists from UCI and partner institutions have found Patagonia's ice sheets to be significantly more massive than expected, with some glaciers reaching depths of over 1,600 meters. This new understanding will help model the effects of global warming on freshwater resources and ecosystems in the region.
Newly discovered layers of ice on Mars reveal a record of past climate and could hold the key to understanding if the planet was ever habitable. The ice reserves are estimated to be as much as 90% water, equivalent to a global layer 1.5 meters deep.
Researchers developed a wireless radar system to monitor vital signs without cumbersome wires, achieving accuracy comparable to standard equipment in uncontrolled environments. The system detected subtle chest movements for sleep apnea monitoring with high precision.
Researchers at KAUST have developed a compact radar with short wavelengths to enhance close-range detection capabilities. The device is capable of target detection, speed estimation, and tracking at ranges of up to 12 meters, making it suitable for visually impaired people and unmanned devices.
Researchers propose a unified approach to optimize radar polarimetry data for precise weather forecasting. This combines observation-based retrievals with model-based analysis to improve quantitative precipitation estimation, warnings, and forecasts.
A new Tel Aviv University study demonstrates improved radar detection using low-bandwidth technology, with applications in the automotive industry and beyond. The research, published in Nature Communications, uses a partially coherent approach to achieve high-range resolution without broadband signals.