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Assessing the relevance of digital elevation models to evaluate glacier mass balance: application to Austre Lovénbreen (Spitsbergen, 79°N)

Published online by Cambridge University Press:  29 November 2011

J-M. Friedt ,
F. Tolle ,
É. Bernard ,
M. Griselin ,
D. Laffly  and
C. Marlin
J-M. Friedt
Affiliation:
University of Franche-Comté, FEMTO-ST, UMR 6174 CNRS, Besançon, France (jmfriedt@femto-st.fr)
F. Tolle
Affiliation:
University of Franche-Comté, ThéMA, UMR 6049 CNRS, Besançon, France
É. Bernard
Affiliation:
University of Franche-Comté, ThéMA, UMR 6049 CNRS, Besançon, France
M. Griselin
Affiliation:
University of Franche-Comté, ThéMA, UMR 6049 CNRS, Besançon, France
D. Laffly
Affiliation:
University of Toulouse, GEODE, UMR 5602 CNRS. Toulouse, France
C. Marlin
Affiliation:
University of Paris Sud, IDES, UMR 8148 CNRS, Orsay, France
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Abstract

The volume variation of a glacier is the actual indicator of long term and short term evolution of the glacier behaviour. In order to assess the volume evolution of the Austre Lovénbreen (79° N) over the last 47 years, we used multiple historical datasets, complemented with our high density GPS tracks acquired in 2007 and 2010. The improved altitude resolution of recent measurement techniques, including phase corrected GPS and LiDAR, reduces the time interval between datasets used for volume subtraction in order to compute the mass balance. We estimate the sub-metre elevation accuracy of most recent measurement techniques to be sufficient to record ice thickness evolutions occurring over a 3 year duration at polar latitudes.

The systematic discrepancy between ablation stake measurements and DEM analysis, widely reported in the literature as well as in the current study, yields new questions concerning the similarity and relationship between these two measurement methods.

The use of Digital Elevation Model (DEM) has been an attractive alternative measurement technique to estimate glacier area and volume evolution over time with respect to the classical in situ measurement techniques based on ablation stakes. With the availability of historical datasets, whether from ground based maps, aerial photography or satellite data acquisition, such a glacier volume estimate strategy allows for the extension of the analysis duration beyond the current research programmes. Furthermore, these methods do provide a continuous spatial coverage defined by its cell size whereas interpolations based on a limited number of stakes display large spatial uncertainties. In this document, we focus on estimating the altitude accuracy of various datasets acquired between 1962 and 2010, using various techniques ranging from topographic maps to dual frequency skidoo-tracked GPS receivers and the classical aerial and satellite photogrammetric techniques.

Type
Research Article
Information
Polar Record , Volume 48 , Special Issue 1: Papers from the 11th Circumpolar Remote Sensing Symposium , January 2012 , pp. 2 - 10
Copyright
Copyright © Cambridge University Press 2011

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References

Arnold, N.S., Rees, W.G., Devereaux, B.J., and Amable, G.. 2006. Evaluating the potential of high-resolution airborne LiDAR in glaciology. International Journal of Remote Sensing 27 (5–6): 1233–1251.CrossRefGoogle Scholar
Barrand, N.E., James, T.D. and Murray, T.. 2010. Spatio-temporal variability in elevation changes of two high-Arctic valley glaciers. Journal of Glaciology 56 (199): 771–780.CrossRefGoogle Scholar
Escher-Vetter, H. 2000. Modelling meltwater production with a distributed energy balance method and runoff using a linear reservoir approach – results from Vernagtferner, Oetzal alps, for the ablation seasons 1992 to 1995. Zeithschift für Gletscherkunde und Glazialgeologie 36: S119–150.Google Scholar
Francou, B., and Vincent, C.. 2007. Les glaciers à l'épreuve du climat. Paris: IRD Edition.CrossRefGoogle Scholar
GAMIT. 2000. Documentation of the GAMIT GPS Analysis Software 2. URL: http://chandler.mit.edu/~simon/gtgk/GAMIT.pdf.Google Scholar
Haakensen, N. 1986. Glacier mapping to confirm results from mass-balance measurements. Annals of Glaciology 8: 73–75.CrossRefGoogle Scholar
Hansen, S. 1999. A photogrammetrical, climate-statistical and geomorphological approach to the post Little Ice Age changes of the midre Lovén-breen glacier, Svalbard. Unpublished M.Sc. dissertation. Copenhagen: University of Copenhagen.Google Scholar
Kohler, J., James, T.D., Murray, T., Nuth, C., Brandt, O., Barrand, N.E., Aas, H.F., and Luckman, A.. 2007. Acceleration in thinning rate on western Svalbard glaciers. Geophysical Research Letters 34: L18502.CrossRefGoogle Scholar
Korona, J., Berthier, É., Bernard, M., Rémy, F., and Thouvenot, É.. 2009. SPIRIT. SPOT 5 stereoscopic survey of polar Ice: reference images and topographies during the fourth International Polar Year (2007–2009). ISPRS Journal of Photogrammetry and Remote Sensing 64: 204–212.CrossRefGoogle Scholar
Laffly, D., Bernard, É., Friedt, J.-M, Martin, G., Tolle, F., Marlin, C., and Griselin, M.. 2012. High temporal resolution monitoring of snow cover using oblique view ground-based pictures. Polar Record in press.CrossRefGoogle Scholar
Østrem, G., and Brugman, M.. 1991. Glacier mass balance measurement–a manual for field and office work. Oslo: The Norwegian water resources and energy administration.Google Scholar
Paterson, W.S.B. 2000. Physics of glaciers 3rd edition, Oxford: Butterworth-Heinemann.Google Scholar
Pillewizer, W. 1962. Deutsche Spitzbergenexpedition 1962. Petermanns Geographische. Mitteilungen 106 (4): 286. (Translation in English available at URL: http://handle.dtic.mil/100.2/AD406986).Google Scholar
Pope, A., Murray, T., and Luckman, A.. 2007. DEM quality assessment for quantification of glacier surface change. Annals of Glaciology 46: 189–194.CrossRefGoogle Scholar
Rees, W.G., and Arnold, N.S.. 2007. Mass balance and dynamics of a valley glacier measured by high-resolution LiDAR. Polar Record 43: 311–319.CrossRefGoogle Scholar
Rippin, D., Willis, I., Arnold, N., Hodson, A., Moore, J., Kohler, J., and Björnsson, H.. 2003. Changes in geometry and subglacial drainage of Midre Lovénbreen, Svalbard, determined from digital elevation models. Earth Surface. Processes and. Landforms 28: 273–298.CrossRefGoogle Scholar
Xu, G. 2007. GPS – theory, algorithms and applications 2nd edition. Berlin/Heidelberg: Springer-Verlag.Google Scholar