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Using machine learning to generate high-resolution wet area maps for planning forest management: A study in a boreal forest landscape
Comparisons between field data and available maps show that 64% of wet areas in the boreal landscape are missing on current maps. Primarily forested wetlands and wet soils near streams and lakes are missing, making them difficult to manage. One solution is to model missing wet areas from high-resolu...
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| Publicado no: | Ambio |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Netherlands
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6965074/ https://ncbi.nlm.nih.gov/pubmed/31073983 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13280-019-01196-9 |
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