National-scale cropland mapping based on spectral-temporal features and outdated land cover information.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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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2017-01-01
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| coleção: | PLoS ONE |
| Acesso em linha: | https://doi.org/10.1371/journal.pone.0181911 |
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