EGU2020-12142
https://doi.org/10.5194/egusphere-egu2020-12142
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Using ArcticDEM to identify and quantify pan-Arctic retrogressive thaw slump activity

Chunli Dai1, Melissa Jones2,3, Ian Howat1, Anna Liljedahl3, Antoni Lewkowicz4, and Jeffrey Freymueller5
Chunli Dai et al.
  • 1Byrd Polar and Climate Research Center, The Ohio State University, Columbus, OH, USA. (dai.56@osu.edu)
  • 2Department of Geography, McGill University, Montreal, Quebec, Canada.
  • 3Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, AK, USA.
  • 4Department of Geography, University of Ottawa, Ottawa, ON, Canada.
  • 5Department of Earth and Environmental Sciences, Michigan State University, East Lansing, MI, USA.

With the increased availability and coverage of high resolution satellite imagery, characterizing processes at the pan-Arctic scale is now possible. This baseline pan-Arctic product will enable us to highlight areas for future research efforts and to standardize observations that are currently locally or regionally focused. The ArcticDEM project (www.arcticdem.org) has released a large collection of 2 meter resolution Digital Elevation Models (DEMs) for all land areas above 60 °N. These DEMs are created using high resolution (~0.5 m) stereo paired satellite images (by DigitalGlobe and include Worldview- 1 (launched 2007), 2 (2009), 3 (2014) and GeoEye-1 (2008) satellites). Using repeat DEMs, we are developing algorithms for automated detection to identify and quantify land surface topographic changes from Arctic volcano eruptions and mass wasting events to create a pan-Arctic mass wasting inventory, including retrogressive thaw slumps. Currently, retreat rates reported for retrogressive thaw slumping activity differ between studies, and our dataset will enable rates to be standardized for slump activity after 2007. Furthermore, our mass wasting inventory will enable us to investigate the triggers of mass wasting events and to analyze the linkages to the contributing factors including climate, topography, and geology. We will be presenting preliminary results focusing specifically on retrogressive thaw slumps, including time series analysis for topographic change detection and using field observations for validation. We welcome collaborators who can share the field or remote sensing observations to aid in our validation efforts.

How to cite: Dai, C., Jones, M., Howat, I., Liljedahl, A., Lewkowicz, A., and Freymueller, J.: Using ArcticDEM to identify and quantify pan-Arctic retrogressive thaw slump activity, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-12142, https://doi.org/10.5194/egusphere-egu2020-12142, 2020

This abstract will not be presented.