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

Hagenmuller, Pascal; Matzl, Margret; Chambon, Guillaume; Schneebeli, Martin

doi:https://doi.org/10.5194/tc-10-1039-2016

Articles | Volume 10, issue 3

https://doi.org/10.5194/tc-10-1039-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Intercomparison of methods to characterise snow...

https://doi.org/10.5194/tc-10-1039-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 3

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, Margret Matzl, Guillaume Chambon, and Martin Schneebeli

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Final revised paper (published on 19 May 2016)
Preprint (discussion started on 25 Jan 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of “Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms”', Anonymous Referee #1, 15 Mar 2016
RC2: 'Review of Manuscript', Anonymous Referee #2, 29 Mar 2016
AC1: 'Responses to referees #1 and #2', Pascal Hagenmuller, 11 Apr 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Pascal Hagenmuller on behalf of the Authors (11 Apr 2016) Author's response Manuscript

ED: Publish as is (02 May 2016) by Philip Marsh

AR by Pascal Hagenmuller on behalf of the Authors (03 May 2016)

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.