Machine learning for cryospheric mass movements: challenges and pathways
Abstract Cryospheric mass movements (CMMs) are accelerating under rapid Arctic and high-mountain warming, yet understanding and predicting them remains challenging due to sparse observations, complex multi-scale processes, and shifting environmental baselines. This Perspective argues that machine le...
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| Autori principali: | , , , , , , , , , , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2026-04-01
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| Serie: | npj Natural Hazards |
| Accesso online: | https://doi.org/10.1038/s44304-026-00206-7 |
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