Project Overview
Ice shelves are an important part of the ice sheet system, as they restrain the flow of ice out to the ocean, and therefore modulate sea level change. One major challenge for geologists is identifying internal structures of the ice on two-dimensional ice-penetrating radar images without further context.
This system provides a flexible, three-dimensional method for visualizing radar data on the Ryder Ice Shelf in Greenland using virtual and augmented reality on the Microsoft HoloLens and Oculus Quest.
This visualization system could help glaciologists understand the ice shelf’s structure and the subsequent response of ice shelf surface hydrology.
Contributions
The project consists of an AR/VR application that visualizes ice-penetrating radar data to enhance understanding of the Ryder Ice Shelf's internal structures. This interactive system allows multiple users to engage and analyze data concurrently with synchronized interactions, benefiting glaciology research and providing immersive experiences of remote ice environments.
Contributors
Mackenzie Li, Sofía Sánchez-Zárate
Advisors
Working under our advisors Professor Steven Feiner, Alexandra Boghosian, and Carmine Elvezio.
Object files created by Alexandra Boghosian.
