Metrics for the Quality and Consistency of Ice Layer Annotations ...

• Main Authors: Tack, Naomi, Tama, Bayu Adhi, Jebeli, Atefeh, Janeja, Vandana, Engel, Don, Williams, Rebecca
• Format: Text
• Language: English
• Published: IEEE 2023
• Subjects: Deformation; Airborne radar; quality metrics; auto-annotation; UMBC Ebiquity Research Group; Ice; Geoscience and remote sensing; Measurement; Annotations; Ice sheet; Antarctica; ice-penetrating radar; Greenland; Antarc*; Ice Sheet
• Online Access: https://dx.doi.org/10.13016/m2djhs-hsor; https://mdsoar.org/handle/11603/35805

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 16-21 July 2023, Pasadena, CA, USA ... : Ice 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. ...