Articles tagged with Topographic Data
Researchers are utilizing the SWOT satellite to study how rivers and streams shape the Earth's surface, transforming scale in river studies. By covering all rivers worldwide, SWOT enables tracking of dam failures and understanding their long-term effects on ecosystems.
Research finds that strengthened westerly winds enhance clockwise oceanic circulations, transporting warm seawater and causing accelerated ice sheet melting in East Antarctica. This study's findings improve future sea level rise projections.
A new downscaling method generates high-resolution surface soil moisture data for mountainous regions, correcting for topographic effects and providing accurate seamless SSM maps. This advancement revolutionizes hydrological studies, drought monitoring, and climate change research.
Researchers on the SONNE310 expedition investigate canyons on active and passive continental slopes in the southwest Pacific. The study aims to identify factors that determine landslide frequency, size, and location, enhancing global risk assessment and protecting coastal areas.
Researchers found that giraffes prefer flat terrain and avoid steep slopes of more than 20° due to energy requirements and risk of falling. This limits their access to habitats in protected reserves, with nearly half of Namibia's habitat being unusable for giraffes.
A team of researchers has created a model that predicts landslide risk in coastal areas, using high-resolution images to identify over 1,000 landslide points in São Sebastião, Brazil. The new methodology aims to provide more precise results and will be ready by the end of 2025.
A new study reveals that mountainous regions played a key role in human evolution, providing increased biodiversity and food resources. The Diversity Selection Hypothesis suggests that early humans adapted to steep terrain due to its enhanced environmental conditions.
Researchers confirm multi-stage lithospheric dripping as cause of basin subsidence in Central Anatolian Plateau. Laboratory experiments and satellite data reveal intricate connection between plateau uplift and basin formation events.
A WVU statistician is developing new methods to analyze curve-type data for predicting extreme weather patterns, financial turmoil and pollution levels. The research aims to create innovative tools for understanding high-resolution data and addressing regional risks in mountainous states like West Virginia.
The DART mission provided a unique opportunity for studying the geology of a near-Earth asteroid binary system, shedding light on its origin and evolution. Researchers found that Dimorphos likely spun off from Didymos in a large mass shedding event, with Dimorphos having a surface age 40-130 times older than Didymos.
Researchers at USC developed a new method to accurately predict wildfire spread using satellite data and artificial intelligence. The model offers a potential breakthrough in wildfire management and emergency response, providing more precise and timely data for firefighters and evacuation teams battling wildfires.
Researchers at Duke University have broken through the performance wall of adaptive radar systems using convolutional neural networks, paralleling computer vision. They've released a large open-source dataset for other AI researchers to build upon their work, aiming to tackle industry needs like object detection and tracking.
A global team of biologists used nearly two decades of field data from the Galápagos Islands to study the relationship between beak traits and individual longevity in four species of Darwin's finches. The researchers found that each species' unique beak traits correspond to fitness peaks, which are essential for survival.
A new study reveals that mountains amplify and obstruct winter precipitation during El Niño events, with increased rainfall on the western side of mountains. This analysis enables more accurate water predictions for the Colorado River in western North America, helping cities, farmers, and water managers prepare for droughts.
Researchers used machine learning and mobile mapping systems to analyze the town of Sabbioneta's streets and pavements, identifying accessible trajectories and paths for citizens with motor disabilities. The study demonstrated the effectiveness of AI in assessing physical accessibility in historic urban contexts.
Researchers have developed a new method to estimate river flow rates on Mars and Titan, utilizing satellite observations and mathematical equations. The technique allows for predictions of river flow times, sediment size, and potential support for life, shedding light on these celestial bodies' geological pasts.
A Brazilian study combined urban expansion and land-use changes with hydrodynamic models to identify flood-prone areas of cities. The methodology, validated using actual data for São Caetano do Sul, can be used by other cities to devise public policies and make decisions to address flooding impacts.
Researchers at Colorado State University have made a groundbreaking discovery in understanding how mountains form, revealing that deep Earth processes are the primary drivers of mountain building in subduction zones. By combining novel data sets and techniques with traditional geomorphology measurements, the team generated a long-term ...
Scientists are developing a high-resolution landslides susceptibility map to forecast future landslides in eastern Oklahoma. The project uses remote sensing data, machine learning, and LiDAR topographic data to understand the causes, mechanics, and associated hazards of landslides.
Researchers argue that polders are an important part of China's water heritage, reflecting the country's long history of water management. Over 2,500 years, polders have evolved in response to changing societal needs, adapting to agricultural modernisation and urban encroachment.
Researchers from Hokkaido University used satellite images to observe the sudden drainage of proglacial lake Lago Greve in Chilean Patagonia, resulting in a 18-meter drop in water level and a loss of 3.7 cubic kilometers of water. The study suggests that the cause was the collapse of a sediment bump at the lake's outlet, highlighting t...
A team of researchers has found new evidence for the presence of liquid water beneath Mars' south polar ice cap using spacecraft laser-altimeter measurements and computer model predictions. The findings agree with earlier radar data interpretations and provide independent confirmation of the existence of subglacial liquid water.
A new study finds that coastal wetlands in rural US areas will persist or expand due to rising sea levels, not be slowed by human barriers. The Chesapeake Bay region is expected to experience significant land loss, with over 600 square miles predicted to become inundated by 2100.
Researchers created a model to predict when rivers crossing faults will abandon their channels, revealing a complex coupling between fault movement and river flow. The model can also estimate the rate of fault slip and sediment transport efficiency.
Researchers at Duke University found that 40 years of mountaintop coal mining has made parts of Central Appalachia 40% flatter than before excavation. The study suggests that this change could lead to increased water quality issues due to the creation of valley fills and changes in water movement.
The American Geosciences Institute has selected Emma Reed and Annette Patton as the latest recipients of the $5,000 Harriet Evelyn Wallace Scholarship. Both Master's candidates are using their research to investigate climate variability and environmental stressors in geoscience.
Researchers developed a new system using high-resolution topography models and structure from motion to study active faults and their role in earthquakes. The method produces comparable quality data at lower costs, enabling geologists to analyze prehistoric ruptures and surface rupture formed during earthquakes.
The new LandEx tool uses the National Land Cover Dataset 2006 to enable example-based queries for localities with similar patterns of land cover. The tool allows researchers and educators to explore its capabilities online, providing a total search for a sense of place.
The San Diego Supercomputer Center (SDSC) at UC San Diego and Arizona State University will operate an internet-based national data facility for high-resolution topographic data acquired with LiDAR technology. The facility, funded by the NSF, will provide online processing tools and act as a community repository for information.
Scientists have released the first national biomass and carbon dataset, which provides high-resolution estimates of forest biomass and carbon stock. The dataset, known as NBCD2000, is being made available for download on a zone-by-zone basis and offers valuable information for quantifying the carbon stock in U.S. forests.
Scientists at the Woods Hole Research Center are expanding a two-year pilot phase to create a national biomass and carbon dataset for US forests. The dataset will improve current methods of determining carbon flux between vegetation and the atmosphere.
Researchers generate high-resolution dataset of vegetation canopy height, aboveground biomass, and carbon stocks for the US in 2000. The dataset will enable unprecedented quantification of biomass and carbon stocks, improving studies on climate interactions, forest fire mitigation, and wildlife habitat characterization.
Recent studies on Mars' Elysium and Amazonis Planitia regions reveal regionally extensive lava eruptions from the same vent system as water. The findings suggest that these volcanic and hydrologic events are both young and related in origins, potentially indicating ongoing volcanic activity.
The NASA space shuttle Endeavour will gather information key to the University of Hawaii's research on the aftermath of volcanic eruptions. The mission aims to provide more extensive topographic data on volcanoes, including Mount Pinatubo, using advanced radar interferometry.
NASA scientists presented new findings on ozonesonde data, glaciers, Mars impact features, Landsat-7 mission performance, tropical landscapes, and more. The results include insights into ozone layer changes, ice stream movements, and buried impact basins on Mars.
The Geographic Information System Interactive Map Server allows users to view maps of major geographic features, including location of earthquake faults and technical data. The site draws on databases created at Cornell over the past six years, making geological data accessible to researchers and educators worldwide.