The Cryosphere
The Cryosphere
TC
Articles | Volume 17, issue 8
Articles | Volume 17, issue 8
https://doi.org/10.5194/tc-17-3485-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-3485-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 8
Research article
 | 
24 Aug 2023
Research article |  | 24 Aug 2023

AutoTerm: an automated pipeline for glacier terminus extraction using machine learning and a “big data” repository of Greenland glacier termini

Enze Zhang, Ginny Catania, and Daniel T. Trugman

Viewed

Total article views: 2,424 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,792 558 74 2,424 159 65 50
  • HTML: 1,792
  • PDF: 558
  • XML: 74
  • Total: 2,424
  • Supplement: 159
  • BibTeX: 65
  • EndNote: 50
Views and downloads (calculated since 04 Nov 2022)
Cumulative views and downloads (calculated since 04 Nov 2022)

Viewed (geographical distribution)

Total article views: 2,424 (including HTML, PDF, and XML) Thereof 2,375 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Mar 2025
Download
Short summary
Glacier termini are essential for studying why glaciers retreat, but they need to be mapped automatically due to the volume of satellite images. Existing automated mapping methods have been limited due to limited automation, lack of quality control, and inadequacy in highly diverse terminus environments. We design a fully automated, deep-learning-based method to produce termini with quality control. We produced 278 239 termini in Greenland and provided a way to deliver new termini regularly.
Read more
Share