Maretto, R. V. :2020:
Automating land cover change detection: a deep learning based approach to map deforested areas
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5 referências similares encontradas (inclusive a original) buscando em 17 dentre 17 Arquivos. Data e hora local de busca: 24/04/2024 20:33. |
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Maretto:2020:DeLeBa Maretto, R. V. :2020: Automating land cover change detection: a deep learning based approach to map deforested areas
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ mtd2-br ❘ Capa) <mtc-m21c.sid.inpe.br> |
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Miranda:2023:PiClLa Miranda, M. S. :2023: AI4LUC: pixel-based classification of land use and land cover via deep learning and a Cerrado image dataset
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ mtd2-br ❘ Capa) <mtc-m21d.sid.inpe.br> |
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SanchezPASSCBC:2019:LaCoCl Sanchez, A., et al. :2019: Land cover classifications of clear-cut deforestation using deep learning
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <mtc-m16d.sid.inpe.br> |
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Matosak:2021:MeMaDe Matosak, B. M. :2021: Method for mapping deforestation in Cerrado based on deep learning using Landsat and Sentinel image time series
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ mtd2-br ❘ Capa) <mtc-m21d.sid.inpe.br> |
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FerreiraCuéHapTheFei:2019:MaEuPl Ferreira, M. P., et al. :2019: Mapping eucalyptus plantations and natural forest areas in Landsat-TM images using deep learning
metadados (BibTeX ❘ Refer ❘ Como citar? ❘ XML ❘ xrefer ❘ oai_dc ❘ Capa) <marte2.sid.inpe.br> |