Articles | Volume 10, issue 3
The Cryosphere, 10, 1039–1054, 2016
https://doi.org/10.5194/tc-10-1039-2016

Special issue: Intercomparison of methods to characterise snow...

The Cryosphere, 10, 1039–1054, 2016
https://doi.org/10.5194/tc-10-1039-2016

Research article 19 May 2016

Research article | 19 May 2016

Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms

Pascal Hagenmuller et al.

Viewed

Total article views: 2,664 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,113 1,418 133 2,664 117 121
  • HTML: 1,113
  • PDF: 1,418
  • XML: 133
  • Total: 2,664
  • BibTeX: 117
  • EndNote: 121
Views and downloads (calculated since 25 Jan 2016)
Cumulative views and downloads (calculated since 25 Jan 2016)

Cited

Latest update: 24 Oct 2021
Download
Short summary
The paper focuses on the characterization of snow microstructure with X-ray microtomography, a technique that is progressively becoming the standard for snow characterization. In particular, it rigorously investigates how the image processing algorithms affect the subsequent microstructure characterization in terms of density and specific surface area. From this analysis, practical recommendations concerning the processing X-ray tomographic images of snow are provided.