Metrics for the Quality and Consistency of Ice Layer Annotations

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dc.contributor.authorTack, Naomi
dc.contributor.authorTama, Bayu Adhi
dc.contributor.authorJebeli, Atefeh
dc.contributor.authorJaneja, Vandana
dc.contributor.authorEngel, Don
dc.contributor.authorWilliams, Rebecca
dc.date.accessioned2024-08-27T20:38:01Z
dc.date.available2024-08-27T20:38:01Z
dc.date.issued2023-07
dc.descriptionIGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, CA, USA
dc.description.abstractIce layers in glaciers, such as those covering Greenland and Antarctica, are deformed over time. The deformations of these layers provide a record of climate history and are useful in predicting future ice flow and ice loss. Cross sectional images of the ice can be captured by airborne radar and layers in the images then annotated by glaciologists. Recent advances in semi-automated and automated annotation allow for significantly more annotations, but the validity of these annotations is difficult to determine because ground-truth (GT) data is scarce. In this paper, we (1) propose GT-dependent and GT-independent metrics for layer annotations and (2) present results from our implementation and initial testing of GT-independent metrics, such as layer breakpoints, local layer density, spatial frequency, and layer orientation agreement.
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/10283420/
dc.format.extent4 pages
dc.genreconference papers and proceedings
dc.genrepostprints
dc.identifierdoi:10.13016/m2djhs-hsor
dc.identifier.citationTack, Naomi, Bayu Adhi Tama, Atefeh Jebeli, Vandana P. Janeja, Don Engel, and Rebecca Williams. “Metrics for the Quality and Consistency of Ice Layer Annotations.” In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 4935–38, 2023. https://doi.org/10.1109/IGARSS52108.2023.10283420.
dc.identifier.urihttps://doi.org/10.1109/IGARSS52108.2023.10283420
dc.identifier.urihttp://hdl.handle.net/11603/35805
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Office for the Vice President of Research
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Information Systems Department
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.subjectDeformation
dc.subjectAirborne radar
dc.subjectquality metrics
dc.subjectauto-annotation
dc.subjectUMBC Ebiquity Research Group
dc.subjectIce
dc.subjectGeoscience and remote sensing
dc.subjectMeasurement
dc.subjectAnnotations
dc.subjectIce sheet
dc.subjectAntarctica
dc.subjectice-penetrating radar
dc.titleMetrics for the Quality and Consistency of Ice Layer Annotations
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-2838-0140
dcterms.creatorhttps://orcid.org/0000-0002-1821-6438
dcterms.creatorhttps://orcid.org/0000-0003-4043-2193
dcterms.creatorhttps://orcid.org/0000-0003-0130-6135

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