Machine learning in space and time for modelling soil organic carbon change
Spatially resolved estimates of change in soil organic carbon (SOC) stocks are necessary for supporting national and international policies aimed at achieving land degradation neutrality and climate change mitigation. In this work we report on the development, implementation and application of a dat...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2020
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/8054 https://onlinelibrary.wiley.com/doi/full/10.1111/ejss.12998 https://doi.org/10.1111/ejss.12998 |
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