ArticleScientific data2025
First retrogressive thaw slump (RTS) inventory for the Kanin Peninsula (NW Russia).
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Permafrost-related hazard, vulnerability and risk estimates for cultural heritage and modern buildings in Svalbard.Scientific data · 2026Article
- First retrogressive thaw slump (RTS) inventory for the Kanin Peninsula (NW Russia).Scientific data · 2025Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retrogressive thaw slumps (RTS) are thermokarst landforms resulting from the thawing of ice-rich permafrost in the pan-Arctic and high mountain regions, recognized as climate-related phenomena. Using 2022 ESRI Wayback satellite imagery, we manually digitized 900 RTS polygons on the Kanin Peninsula (NW Russia), categorizing them into 633 inactive and 267 active features based on morphology and vegetation patterns. The primary goal was not to create a complete RTS inventory but to develop a highly representative dataset for training machine learning models to automatically detect and classify RTS into active and inactive categories. This approach will facilitate regional-scale monitoring of permafrost degradation and enhance understanding of RTS impacts, including their effects on indigenous Nenets reindeer herders' travel routes. By classifying RTS polygons into morphologically active and inactive features, this dataset aims to enable ongoing analysis of change patterns over time, offering critical insights in the current climate context.
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Registered trials
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