Digital terrain models as a tool for glacier studies

Research output: Contribution to journalArticleResearchpeer review

Authors

  • H. Rentsch
  • W. Welsch
  • C. Heipke
  • M. M. Miller

External Research Organisations

  • Walther-Meißner-Institute for Low Temperature Research
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Details

Original languageEnglish
Pages (from-to)273-278
Number of pages6
JournalJournal of glaciology
Volume36
Issue number124
Early online date20 Jan 2017
Publication statusPublished - Oct 2023
Externally publishedYes

Abstract

Digital terrain models (DTM) are a very important tool for all sorts of glacier studies and serve as a basis for many applications. These new technologies have been applied in an investigation of the Vaughan Lewis Icefall, Juneau Icefield, Alaska. A DTM has been produced by means of photogrammetric measurements, and a glacier-flow velocity of up to 5.70 m d-1 in the steepest part has been derived. The possibilities for the interpretation of the glacier topography have been significantly improved by using digital image-processing algorithms for the visualization of the DTM. -from Authors

ASJC Scopus subject areas

Cite this

Digital terrain models as a tool for glacier studies. / Rentsch, H.; Welsch, W.; Heipke, C. et al.
In: Journal of glaciology, Vol. 36, No. 124, 10.2023, p. 273-278.

Research output: Contribution to journalArticleResearchpeer review

Rentsch, H, Welsch, W, Heipke, C & Miller, MM 2023, 'Digital terrain models as a tool for glacier studies', Journal of glaciology, vol. 36, no. 124, pp. 273-278. https://doi.org/10.3189/002214390793701345
Rentsch, H., Welsch, W., Heipke, C., & Miller, M. M. (2023). Digital terrain models as a tool for glacier studies. Journal of glaciology, 36(124), 273-278. https://doi.org/10.3189/002214390793701345
Rentsch H, Welsch W, Heipke C, Miller MM. Digital terrain models as a tool for glacier studies. Journal of glaciology. 2023 Oct;36(124):273-278. Epub 2017 Jan 20. doi: 10.3189/002214390793701345
Rentsch, H. ; Welsch, W. ; Heipke, C. et al. / Digital terrain models as a tool for glacier studies. In: Journal of glaciology. 2023 ; Vol. 36, No. 124. pp. 273-278.
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