Articles | Volume 17, issue 11
https://doi.org/10.5194/tc-17-4511-2023
https://doi.org/10.5194/tc-17-4511-2023
Research article
 | 
30 Oct 2023
Research article |  | 30 Oct 2023

Allometric scaling of retrogressive thaw slumps

Jurjen van der Sluijs, Steven V. Kokelj, and Jon F. Tunnicliffe

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Cited articles

Aylsworth, J. M., Rodkin-Duk, A., Robertson, T., and Traynor, J. A.: Landslide of the Mackenzie valley and adjacent mountanainous and coastal regions, in: The Physical Environment of the Mackenzie Valley: A Baseline for the Assessment of Environmental Change, edited by: Dyke, L. D. and Brooks, G. R., 167–176, ISBN 0-660-18281-5, 2000. 
Bater, C. W. and Coops, N. C.: Evaluating error associated with lidar-derived DEM interpolation, Comput. Geosci., 35, 289–300, https://doi.org/10.1016/j.cageo.2008.09.001, 2009. 
Bergonse, R. and Reis, E.: Reconstructing pre-erosion topography using spatial interpolation techniques: A validation-based approach, J. Geogr. Sci., 25, 196–210, https://doi.org/10.1007/s11442-015-1162-2, 2015. 
Bernhard, P., Zwieback, S., Leinss, S., and Hajnsek, I.: Mapping Retrogressive Thaw Slumps Using Single-Pass TanDEM-X Observations, IEEE J. Sel. Top. Appl., 13, 3263–3280, https://doi.org/10.1109/JSTARS.2020.3000648, 2020. 
Bernhard, P., Zwieback, S., Bergner, N., and Hajnsek, I.: Assessing volumetric change distributions and scaling relations of retrogressive thaw slumps across the Arctic, The Cryosphere, 16, 1–15, https://doi.org/10.5194/tc-16-1-2022, 2022. 
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Short summary
There is an urgent need to obtain size and erosion estimates of climate-driven landslides, such as retrogressive thaw slumps. We evaluated surface interpolation techniques to estimate slump erosional volumes and developed a new inventory method by which the size and activity of these landslides are tracked through time. Models between slump area and volume reveal non-linear intensification, whereby model coefficients improve our understanding of how permafrost landscapes may evolve over time.
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