Articles | Volume 17, issue 11
https://doi.org/10.5194/tc-17-4511-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-4511-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Oct 2023
Research article |
| 30 Oct 2023
| 30 Oct 2023
Allometric scaling of retrogressive thaw slumps
Jurjen van der Sluijs
CORRESPONDING AUTHOR
Northwest Territories Centre for Geomatics, Department of Finance, Government of Northwest Territories, Yellowknife, NWT, X1A 2L9, Canada
Steven V. Kokelj
Northwest Territories Geological Survey, Department of Industry, Tourism and Investment, Government of Northwest Territories, Yellowknife, NWT, X1A 2L9, Canada
Jon F. Tunnicliffe
School of Environment, University of Auckland, Auckland, New Zealand
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Cited
15 citations as recorded by crossref.
- Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo) I. Nicu et al. 10.1038/s41597-024-03754-7
- Complex geohazards at a high-priority Arctic cultural heritage site at Russekeila – Kapp Linné, Svalbard L. Rubensdotter et al. 10.1016/j.catena.2025.108935
- Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning K. Maier et al. 10.1016/j.jag.2025.104419
- Ultrahigh resolution dissolved organic matter characterization reveals distinct permafrost characteristics on the Peel Plateau, Canada M. Moore et al. 10.1007/s10533-023-01101-3
- Snow accumulation, albedo and melt patterns following road construction on permafrost, Inuvik–Tuktoyaktuk Highway, Canada J. Hammar et al. 10.5194/tc-17-5357-2023
- Seasonal dynamics of a coupled hillslope — river system in the Arctic revealed by semi-automated satellite image analysis C. Erikson et al. 10.1016/j.rse.2025.114883
- Validation of beyond visual-line-of-sight drone photogrammetry for terrain and canopy height applications J. Van der Sluijs et al. 10.1016/j.rsase.2024.101266
- A Framework for Understanding the Impacts of Thaw‐Driven Disturbance Regimes on Northern Lakes J. Thienpont et al. 10.1002/ppp.2256
- Applications of ArcticDEM for measuring volcanic dynamics, landslides, retrogressive thaw slumps, snowdrifts, and vegetation heights C. Dai et al. 10.1016/j.srs.2024.100130
- A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards Y. Yang et al. 10.1038/s41597-025-04372-7
- First retrogressive thaw slump (RTS) inventory for the Kanin Peninsula (NW Russia) I. Nicu et al. 10.1038/s41597-025-05592-7
- Review article: Retrogressive thaw slump characteristics and terminology N. Nesterova et al. 10.5194/tc-18-4787-2024
- Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst R. Fraser et al. 10.1139/dsa-2022-0036
- Recent Intensification (2004–2020) of Permafrost Mass‐Wasting in the Central Mackenzie Valley Foothills Is a Legacy of Past Forest Fire Disturbances J. Young et al. 10.1029/2022GL100559
- Beyond visual-line-of-sight (BVLOS) drone operations for environmental and infrastructure monitoring: a case study in northwestern Canada J. van der Sluijs et al. 10.1139/dsa-2023-0012
12 citations as recorded by crossref.
- Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo) I. Nicu et al. 10.1038/s41597-024-03754-7
- Complex geohazards at a high-priority Arctic cultural heritage site at Russekeila – Kapp Linné, Svalbard L. Rubensdotter et al. 10.1016/j.catena.2025.108935
- Detecting mass wasting of Retrogressive Thaw Slumps in spaceborne elevation models using deep learning K. Maier et al. 10.1016/j.jag.2025.104419
- Ultrahigh resolution dissolved organic matter characterization reveals distinct permafrost characteristics on the Peel Plateau, Canada M. Moore et al. 10.1007/s10533-023-01101-3
- Snow accumulation, albedo and melt patterns following road construction on permafrost, Inuvik–Tuktoyaktuk Highway, Canada J. Hammar et al. 10.5194/tc-17-5357-2023
- Seasonal dynamics of a coupled hillslope — river system in the Arctic revealed by semi-automated satellite image analysis C. Erikson et al. 10.1016/j.rse.2025.114883
- Validation of beyond visual-line-of-sight drone photogrammetry for terrain and canopy height applications J. Van der Sluijs et al. 10.1016/j.rsase.2024.101266
- A Framework for Understanding the Impacts of Thaw‐Driven Disturbance Regimes on Northern Lakes J. Thienpont et al. 10.1002/ppp.2256
- Applications of ArcticDEM for measuring volcanic dynamics, landslides, retrogressive thaw slumps, snowdrifts, and vegetation heights C. Dai et al. 10.1016/j.srs.2024.100130
- A Collaborative and Scalable Geospatial Data Set for Arctic Retrogressive Thaw Slumps with Data Standards Y. Yang et al. 10.1038/s41597-025-04372-7
- First retrogressive thaw slump (RTS) inventory for the Kanin Peninsula (NW Russia) I. Nicu et al. 10.1038/s41597-025-05592-7
- Review article: Retrogressive thaw slump characteristics and terminology N. Nesterova et al. 10.5194/tc-18-4787-2024
3 citations as recorded by crossref.
- Towards precise drone-based measurement of elevation change in permafrost terrain experiencing thaw and thermokarst R. Fraser et al. 10.1139/dsa-2022-0036
- Recent Intensification (2004–2020) of Permafrost Mass‐Wasting in the Central Mackenzie Valley Foothills Is a Legacy of Past Forest Fire Disturbances J. Young et al. 10.1029/2022GL100559
- Beyond visual-line-of-sight (BVLOS) drone operations for environmental and infrastructure monitoring: a case study in northwestern Canada J. van der Sluijs et al. 10.1139/dsa-2023-0012
Latest update: 26 Jul 2025
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.
There is an urgent need to obtain size and erosion estimates of climate-driven landslides, such...
