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A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran
We used three state-of-the-art machine learning techniques (boosted regression tree, random forest, and support vector machine) to produce a multi-hazard (MHR) map illustrating areas susceptible to flooding, gully erosion, forest fires, and earthquakes in Kohgiluyeh and Boyer-Ahmad Province, Iran. T...
Tallennettuna:
| Julkaisussa: | Sci Rep |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8295352/ https://ncbi.nlm.nih.gov/pubmed/34290304 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-94266-6 |
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