Development and Initial Testing of XR-Based Fence Diagrams for Polar Science

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dc.contributor.authorTack, Naomi
dc.contributor.authorHolschuh, Nicholas
dc.contributor.authorSharma, Sharad
dc.contributor.authorWilliams, Rebecca M.
dc.contributor.authorEngel, Don
dc.date.accessioned2025-02-13T17:56:12Z
dc.date.available2025-02-13T17:56:12Z
dc.date.issued2023-07
dc.descriptionIGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, CA, USA
dc.description.abstractEarth’s ice sheets are the largest contributor to sea level rise. For this reason, understanding the flow and topology of ice sheets is crucial for the development of accurate models and predictions. In order to aid in the generation of such models, ice penetrating radar is used to collect images of the ice sheet through both airborne and ground-based platforms. Glaciologists then take these images and visualize them in 3D fence diagrams on a flat 2D screen. We aim to consider the benefits that an XR visualization of these diagrams may provide to enable better data comprehension, annotation, and collaborative work. In this paper, we discuss our initial development and evaluation of such an XR system.
dc.description.sponsorshipThis work is made possible by NSF Award #2118285, “iHARP: NSF HDR Institute for Harnessing Data and Model Revolution in the Polar Regions”. We acknowledge the use of the CReSIS toolbox from CReSIS generated with support from the University of Kansas, NASA Operation IceBridge grant NNX16AH54G, and NSF grants ACI-1443054, OPP-1739003, and IIS-1838230
dc.description.urihttps://ieeexplore.ieee.org/document/10281776
dc.format.extent4 pages
dc.genreconference papers and proceedings
dc.genrepostprints
dc.identifierdoi:10.13016/m2ispn-mnij
dc.identifier.citationTack, Naomi, Nicholas Holschuh, Sharad Sharma, Rebecca Williams, and Don Engel. “Development and Initial Testing of XR-Based Fence Diagrams for Polar Science.” IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, July 2023, 1541–44. https://doi.org/10.1109/IGARSS52108.2023.10281776.
dc.identifier.urihttps://doi.org/10.1109/IGARSS52108.2023.10281776
dc.identifier.urihttp://hdl.handle.net/11603/37698
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Office for the Vice President of Research
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
dc.rights© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectGeoscience and remote sensing
dc.subjectUMBC Ebiquity Research Group
dc.subjectFence diagram
dc.subjectAtmospheric modeling
dc.subjectPredictive models
dc.subjectData visualization
dc.subjectIce-penetrating radar
dc.subjectThree-dimensional displays
dc.subjectVisualization
dc.subjectXR
dc.subjectGround penetrating radar
dc.subjectRadar imaging
dc.subjectIce sheet
dc.titleDevelopment and Initial Testing of XR-Based Fence Diagrams for Polar Science
dc.typeText
dcterms.creatorhttps://orcid.org/0009-0009-7413-833X
dcterms.creatorhttps://orcid.org/0009-0007-6548-2513
dcterms.creatorhttps://orcid.org/0000-0003-2838-0140

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