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Tinto, K (Ed.)Understanding the submarine environment around Greenland is critical for understanding the impacts of future changes in sea level on marine habitats and coastal infrastructures, as well as revealing the past physical processes that sculpted the landscape. Here we investigate the submarine signature of a geologic boundary between Precambrian basement and Cretaceous-Paleocene sandstone off the coast of Aasiaat, Greenland. The study builds upon previous research in Krawcyk et al., 2022, and uses new data from the Greenland Rising Project to compare geologic maps, analyze bathymetry data, and examine backscatter measurements to help contribute to a better understanding of the boundary. Observations of exposed bedrock, and our interpretation of pockmarks observed on the seafloor guide the location of the boundary and suggest that the boundary extends further south than previously recognized. Characterizing this boundary supports a better understanding of marine ecosystems in Greenland and can be valuable for future environmental management decisions. Further data collection and analysis is recommended to better determine and identify the boundary in the futuremore » « less
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Boghosian, Alexandra L.; Pratt, Martin J.; Becker, Maya K.; Cordero, S. Isabel; Dhakal, Tejendra; Kingslake, Jonathan; Locke, Caitlin D.; Tinto, Kirsty J.; Bell, Robin E. (, The Photogrammetric Record)Abstract From 2015 to 2017, theROSETTA‐Ice project comprehensively mapped Antarctica's Ross Ice Shelf using IcePod, a newly developed aerogeophysical platform. The campaign imaged the ice‐shelf surface with lidar and its internal structure with ice‐penetrating radar. TheROSETTA‐Ice data was combined with pre‐existing ice surface and bed topography digital elevation models to create the first augmented reality (AR) visualisation of the Antarctic Ice Sheet, using the Microsoft HoloLens. TheROSETTA‐Ice datasets support cross‐disciplinary science that aims to understand 4D processes, namely the change of 3D ice‐shelf structures over time. The work presented here usesARto visualise this dataset in 3D and highlights howARcan be simultaneously a useful research tool for interdisciplinary geoscience as well as an effective device for science communication education.more » « less
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