Articles | Volume 16, issue 6
https://doi.org/10.5194/tc-16-2163-2022
https://doi.org/10.5194/tc-16-2163-2022
Research article
 | 
09 Jun 2022
Research article |  | 09 Jun 2022

Potential of X-band polarimetric synthetic aperture radar co-polar phase difference for arctic snow depth estimation

Joëlle Voglimacci-Stephanopoli, Anna Wendleder, Hugues Lantuit, Alexandre Langlois, Samuel Stettner, Andreas Schmitt, Jean-Pierre Dedieu, Achim Roth, and Alain Royer

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Cited articles

AMAP: Snow, Water, Ice and Permafrost in the Arctic (SWIPA) 2017, ISBN 978-82-7971-101-8, https://www.amap.no/documents/doc/snow-water-ice-and-permafrost-in-the-arctic-swipa-2017/1610 (last access: 27 May 2022), 2017. 
Berteaux, D., Gauthier, G., Domine, F., Ims, R. A., Lamoureux, S. F., Lévesque, E., and Yoccoz, N.: Effects of changing permafrost and snow conditions on tundra wildlife: critical places and times, Arct. Sci., 3, 65–90, https://doi.org/10.1139/as-2016-0023, 2017. 
Beven, K. J. and Kirkby, M. J.: A physically based, variable contributing area model of basin hydrology, Hydrol. Sci. Bull., 24, 43–69, https://doi.org/10.1080/02626667909491834, 1979. 
Burn, C. R. and Zhang, Y.: Permafrost and climate change at Herschel Island (Qikiqtaruq), Yukon Territory, Canada, J. Geophys. Res.-Earth, 114, 1–16, https://doi.org/10.1029/2008JF001087, 2009. 
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Short summary
Changes in the state of the snowpack in the context of observed global warming must be considered to improve our understanding of the processes within the cryosphere. This study aims to characterize an arctic snowpack using the TerraSAR-X satellite. Using a high-spatial-resolution vegetation classification, we were able to quantify the variability in snow depth, as well as the topographic soil wetness index, which provided a better understanding of the electromagnetic wave–ground interaction.
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