Automatic delineation of glacier grounding lines in differential interferometric synthetic-aperture radar data using deep learning

Delineating the grounding line of marine-terminating glaciers—where ice starts to become afloat in ocean waters—is crucial for measuring and understanding ice sheet mass balance, glacier dynamics, and their contributions to sea level rise. This task has been previously done using time-consuming, mos...

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Veröffentlicht in:	Scientific reports Jg. 11; H. 1; S. 4992 - 10
Hauptverfasser:	Mohajerani, Yara, Jeong, Seongsu, Scheuchl, Bernd, Velicogna, Isabella, Rignot, Eric, Milillo, Pietro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 02.03.2021 Nature Publishing Group Nature Portfolio
Schlagworte:	704/106 704/106/125 Automation Bending stresses Deep learning Digitization Equilibrium Glaciers Humanities and Social Sciences Ice sheets Ice shelves Learning algorithms Machine learning Mathematical models multidisciplinary Neural networks Radar Satellites Science Science (multidisciplinary) Sea level rise Antarctica
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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