National-scale cropland mapping based on spectral-temporal features and outdated land cover information

The lack of sufficient ground truth data has always constrained supervised learning, thereby hindering the generation of up-to-date satellite-derived thematic maps. This is all the more true for those applications requiring frequent updates over large areas such as cropland mapping. Therefore, we pr...

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Detalles Bibliográficos
Autores principales: Waldner, François, Hansen, Matthew C., Potapov, Peter V., Löw, Fabian, Newby, Terence, Ferreira, Stefanus, Defourny, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560701/
https://www.ncbi.nlm.nih.gov/pubmed/28817618
http://dx.doi.org/10.1371/journal.pone.0181911

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5560701/
https://www.ncbi.nlm.nih.gov/pubmed/28817618
http://dx.doi.org/10.1371/journal.pone.0181911

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