Articles | Volume 16, issue 2
https://doi.org/10.5194/essd-16-919-2024
https://doi.org/10.5194/essd-16-919-2024
Data description paper
 | 
20 Feb 2024
Data description paper |  | 20 Feb 2024

A high-resolution calving front data product for marine-terminating glaciers in Svalbard

Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, and Jonathan L. Bamber

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Short summary
Our study uses deep learning to produce a new high-resolution calving front dataset for 149 marine-terminating glaciers in Svalbard from 1985 to 2023, containing 124 919 terminus traces. This dataset offers insights into understanding calving mechanisms and can help improve glacier frontal ablation estimates as a component of the integrated mass balance assessment.
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