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A scalable model of vegetation transitions using deep neural networks

1. In times of rapid global change, anticipating vegetation changes and assessing their impacts is of key relevance to managers and policy makers. Yet, predicting vegetation dynamics often suffers from an inherent scale mismatch, with abundant data and process understanding being available at a fine...

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Detalles Bibliográficos
Autores principales: Rammer, Werner, Seidl, Rupert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582592/
https://www.ncbi.nlm.nih.gov/pubmed/31244986
http://dx.doi.org/10.1111/2041-210X.13171