Landslide susceptibility assessment of South Korea using stacking ensemble machine learning
Abstract Background Landslide susceptibility assessment (LSA) is a crucial indicator of landslide hazards, and its accuracy is improving with the development of artificial intelligence (AI) technology. However, the AI algorithms are inconsistent across regions and strongly dependent on input variabl...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
SpringerOpen
2024-02-01
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| Sarja: | Geoenvironmental Disasters |
| Aiheet: | |
| Linkit: | https://doi.org/10.1186/s40677-024-00271-y |
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