Tama, Bayu AdhiJaneja, VandanaPurushotham, Sanjay2024-12-112024-12-112024-09-05Tama, Bayu Adhi, Vandana Janeja, and Sanjay Purushotham. “Assessing Annotation Accuracy in Ice Sheets Using Quantitative Metrics.” IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, July 2024, 7572–75. https://doi.org/10.1109/IGARSS53475.2024.10641691.https://doi.org/10.1109/IGARSS53475.2024.10641691http://hdl.handle.net/11603/37112IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 07-12 July 2024The increasing threat of sea level rise due to climate change necessitates a deeper understanding of ice sheet structures. This study addresses the need for accurate ice sheet data interpretation by introducing a suite of quantitative metrics designed to validate ice sheet annotation techniques. Focusing on both manual and automated methods, including ARESELP and its modified version, MARESELP, we assess their accuracy against expert annotations. Our methodology incorporates several computer vision metrics, traditionally under-utilized in glaciological research, to evaluate the continuity and connectivity of ice layer annotations. The results demonstrate that while manual annotations provide invaluable expert insights, automated methods, particularly MARESELP, improve layer continuity and alignment with expert labels.4 pagesen-US© 2024 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.MeasurementIce sheetsManualsautomated annotation techniquesUMBC MAccuracySea measurementsUMBC Cybersecurity InstituteAnnotationsice sheet structure analysisquantitative metricsGeoscience and remote sensingIce sheet annotationText