Articles | Volume 13, issue 6
https://doi.org/10.5194/tc-13-1729-2019
https://doi.org/10.5194/tc-13-1729-2019
Research article
 | 
28 Jun 2019
Research article |  | 28 Jun 2019

Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach

Enze Zhang, Lin Liu, and Lingcao Huang

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Short summary
Conventionally, calving front positions have been manually delineated from remote sensing images. We design a novel method to automatically delineate the calving front positions of Jakobshavn Isbræ based on deep learning, the first of this kind for Greenland outlet glaciers. We generate high-temporal-resolution (about two measurements every month) calving fronts, demonstrating our methodology can be applied to many other tidewater glaciers through this successful case study on Jakobshavn Isbræ.
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