Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/essd-17-65-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-65-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Data description paper
 | 
10 Jan 2025
Data description paper |  | 10 Jan 2025

Calving front positions for 42 key glaciers of the Antarctic Peninsula Ice Sheet: a sub-seasonal record from 2013 to 2023 based on deep-learning application to Landsat multi-spectral imagery

Erik Loebel, Celia A. Baumhoer, Andreas Dietz, Mirko Scheinert, and Martin Horwath

Viewed

Total article views: 1,837 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,361 410 66 1,837 114 75 103
  • HTML: 1,361
  • PDF: 410
  • XML: 66
  • Total: 1,837
  • Supplement: 114
  • BibTeX: 75
  • EndNote: 103
Views and downloads (calculated since 02 Feb 2024)
Cumulative views and downloads (calculated since 02 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,837 (including HTML, PDF, and XML) Thereof 1,813 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Jul 2025
Download
Short summary
Glacier calving front positions are important for understanding glacier dynamics and constraining ice modelling. We apply a deep-learning framework to multi-spectral Landsat imagery to create a calving front record for 42 key outlet glaciers of the Antarctic Peninsula Ice Sheet. The resulting data product includes 4817 calving front locations from 2013 to 2023 and achieves sub-seasonal temporal resolution.
Read more
Share
Altmetrics
Final-revised paper
Preprint