Identifying active retrogressive thaw slumps from ArcticDEM
The extent of permafrost thaw in the pan-Arctic remains unknown, but remote sensing, deep learning and crowdsourcing are helping to map permafrost degradation in the landscape.
The recent study by Huang et al study provides data and serves to develop a global inventory and better understand permafrost thaw in the pan-Arctic using very high resolution remote sensing. This approach could lead to a global inventory of retrogressive thaw slumps.
Lingcao Huang, Michael J. Willis, Guiye Li, Trevor C. Lantz, Kevin Schaefer, Elizabeth Wig, Guofeng Cao, Kristy F. Tiampo, Identifying active retrogressive thaw slumps from ArcticDEM, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 205, 2023, Pages 301-316, ISSN 0924-2716.
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