The frozen ground is now being asked to list its collapses
the frozen ground is now being asked to list its collapses: ai detected about 43,000 retrogressive thaw slumps across 1.6 million square kilometres of arctic permafrost, a data efficient framework found 3,273 slumps on the tibetan plateau with 90 percent less imagery, and digital twins predict thawed soil properties under alaska’s roads.
the tundra now files its own slippage.
Context
DARTS is a multi-year database of AI-detected retrogressive thaw slumps across the circum-Arctic permafrost region (Scientific Data, 2025). A 2026 paper integrates time-series analysis and deep learning to reconstruct retrogressive thaw slump histories on the Qinghai-Tibet Plateau.
Penn State and Eos describe a physics-informed digital twin that predicts permafrost thermodynamic characteristics beneath an embankment road in Utqiagvik, Alaska.
The circum-Arctic AI detection, the Tibetan Plateau deep learning work and the Alaska road digital twin match the sources. The '43,000 slumps over 1.6 million square kilometres', '3,273 slumps with 90 percent less imagery' and 'thawed soil properties' figures were not seen in the excerpts read, so they are unsupported here, not refuted.
'The tundra now files its own slippage' is the author's opinion.
Related work
- DARTS: AI-detected retrogressive thaw slumps ↗The circum-Arctic database.
- Deep learning for thaw slumps on the Qinghai-Tibet Plateau ↗Time-series reconstruction.
- Eos: a digital twin for Arctic permafrost beneath roads ↗The Alaska twin.
Watch next
- Read the DARTS paper for the slump count.
Sources
Provenance
The note above is reproduced unedited from the original post, first published on Threads on 3 October 2026 at 14:02 IST. Sources are the papers and datasets the note draws on.
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