Project Grant FA95502410307

Arizona State University was awarded a $359,841 Project Grant from the National Science Foundation Division of Polar Programs on September 1, 2021 to complete the project by August 31, 2024. The grant funds the "CAREER ADVANCEMENT IN POLAR CYBERINFRASTRUCTURE: PERMAFROST FEATURE MAPPING AND CHANGE DETECTION USING GEOSPATIAL ARTIFICIAL INTELLIGENCE AND REMOTE SENSING" project under the Polar Programs (CFDA 47.078) federal grant program. The project aims to advance understanding of...

This National Science Foundation (NSF) Polar Programs (CFDA 47.078) Project Grant award of $349,754 to Montana State University (MSU) aims to quantify how geomorphic processes on hillslopes influence the storage of ice and carbon in Arctic permafrost soils over century to millennial timescales. The researchers will measure the variability of soil, ground-ice, and carbon across selected hillslopes in interior Alaska to understand how topography, sediment movement, and underlying geology impact...

This three-year, $294,517 National Science Foundation Division of Polar Programs project grant will support the development of geospatial products mapping the capillary hydrological system across Arctic tundra regions. The University of Massachusetts Amherst will produce a pan-Arctic map of the expanding network of small surface drainage channels that originate freshwater flows to larger Arctic rivers. Researchers will apply graph analysis techniques and deep learning algorithms to very...

The National Science Foundation (NSF) Geosciences Program (CFDA 47.050) awarded a $281,057 "EAGER" Project Grant to The Trustees of Princeton University to develop a novel "Depth Sensitive Thermography" (DST) concept. This project will explore the physical mechanisms of using the atmosphere's varying opacity in the thermal infrared spectrum to survey 3D air temperature profiles over 1-10 km scales. The research aims to create the first proof-of-concept DST imaging system...

This $193,418 National Science Foundation project grant through the Polar Programs federal grant program (CFDA 47.078) will fund research at the University of Alaska Fairbanks to map the capillary hydrologic system across Arctic tundra regions and assess its role in freshwater and carbon flows to major rivers. The three-year research project will use graph analysis techniques and deep learning algorithms applied to high-resolution satellite imagery to map ice wedges and the expanding capillary...

This $411,096 federal Project Grant award was provided by the National Science Foundation's Polar Programs (CFDA 47.078) to The Leland Stanford Junior University (Stanford University). The project aims to utilize machine learning and physics-based models to map and understand how surface meltwater on the Greenland ice sheet reaches the bedrock, which can impact ice sheet dynamics and response to climate change. Key products and services to be delivered include: Development of open-source deep...

This three-year, $302,382 project grant from the National Science Foundation Division of Polar Programs will support the Woodwell Climate Research Center Inc. in mapping the capillary hydrological system across Arctic tundra regions. As permafrost thaws due to climate change, dense networks of small surface drainage channels are forming and expanding. These "capillaries" represent the origin of water flowing into large Arctic rivers and influence habitat, infrastructure hazards, and...

This $378,140 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a research project at Auburn University focused on the multiscale characterization of permafrost and frozen soil properties. The project aims to bridge the knowledge gap in predicting how permafrost will respond to warming temperatures over time by examining permafrost at scales ranging from ice crystals to frozen landscapes. Using advanced imaging techniques, laboratory...

This Project Grant award of $317,795 from the National Science Foundation Division of Polar Programs (CFDA 47.078) supports research by the Colorado School of Mines to disentangle the internal and basal processes that influence ice sheet flow and contribute to sea-level rise. The project combines satellite remote sensing data with ice-penetrating radar observations to partition the contributions of internal and basal friction within the ice sheet. Key efforts include developing open-source...

This $191,868 National Science Foundation project grant supports research to understand surface-to-bed meltwater pathways across the Greenland Ice Sheet. Funded through the Polar Programs grant program (CFDA 47.078), the award will utilize machine learning and physics-based models to map cracks and draining lakes on the ice sheet from satellite imagery. Researchers at the University of Kansas Center for Research will develop open-source artificial intelligence codes to automatically detect ice...