DARTS: Multi-year database of AI-detected retrogressive thaw slumps in the circum-arctic permafrost region

Retrogressive Thaw Slumps (RTS) are widespread mass-wasting hillslope failures triggered by thawing permafrost. While regional studies have provided insights into the spatial distribution and dynamics of RTS, a consistent and unbiased quantification and monitoring remains unsolved at pan-arctic scales. We present the Database of AI-detected Arctic RTS footprints (DARTS), comprising ~43,000 individual footprints of active RTS or active areas within larger RTS landforms. DARTS spans ~1.6 million km<sup>2</sup> from 2018-2023, with at least annual coverage from 2021-2023 across a ~900,000 km<sup>2</sup> region. The database is freely available in two processing levels: sub-annual and annually aggregated polygon footprints including spatial and tabular metadata. DARTS uses a highly automated workflow based on deep learning segmentation of PlanetScope multi-spectral satellite imagery (3-5 m resolution) and elevation data. Validation against different regional RTS datasets yielded F1 scores ranging from 0.263 to 0.700, with higher accuracy in areas of intense RTS activity. DARTS provides a valuable resource for systematically mapping, quantifying, and analyzing active hillslope thermokarst distribution and changes over time across the circum-arctic permafrost region.

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Publication Details

Journal
Scientific Data
Published
2025-08-29
DOI
https://doi.org/10.1038/s41597-025-05810-2
Citations
4
Primary Topic
Climate change and permafrost
Type
article
Field-Weighted Citation Impact
5.20

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article

DARTS: Multi-year database of AI-detected retrogressive thaw slumps in the circum-arctic permafrost region

Nina Nesterova, Mark J. Lara, Sophia Barth, Ingmar Nitze et al.
4 citations
Scientific Data
Climate change and permafrost
5.20
article

DARTS: Multi-year database of AI-detected retrogressive thaw slumps in the circum-arctic permafrost region

Nina Nesterova, Mark J. Lara, Sophia Barth, Ingmar Nitze, Guido Grosse, Anna Liljedahl, Jonas Küpper, Konrad Heidler, T. L. Holzer, Emma Schütt
article en
4 citations

Abstract

Retrogressive Thaw Slumps (RTS) are widespread mass-wasting hillslope failures triggered by thawing permafrost. While regional studies have provided insights into the spatial distribution and dynamics of RTS, a consistent and unbiased quantification and monitoring remains unsolved at pan-arctic scales. We present the Database of AI-detected Arctic RTS footprints (DARTS), comprising ~43,000 individual footprints of active RTS or active areas within larger RTS landforms. DARTS spans ~1.6 million km<sup>2</sup> from 2018-2023, with at least annual coverage from 2021-2023 across a ~900,000 km<sup>2</sup> region. The database is freely available in two processing levels: sub-annual and annually aggregated polygon footprints including spatial and tabular metadata. DARTS uses a highly automated workflow based on deep learning segmentation of PlanetScope multi-spectral satellite imagery (3-5 m resolution) and elevation data. Validation against different regional RTS datasets yielded F1 scores ranging from 0.263 to 0.700, with higher accuracy in areas of intense RTS activity. DARTS provides a valuable resource for systematically mapping, quantifying, and analyzing active hillslope thermokarst distribution and changes over time across the circum-arctic permafrost region.

Scientific DataVol. 12(1)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Woodwell Climate Research Center (US), University of Illinois Urbana-Champaign (US), University of Potsdam (DE), Technical University of Munich (DE)
National Science Foundation, National Aeronautics and Space Administration, Deutscher Akademischer Austauschdienst, Nuclear Safety and Security Commission
Openalex Percentile: Top 4%
Climate change and permafrost
5.20
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