Generalized space-time classifiers for monitoring sugarcane areas in Brazil (2018)
Source: Remote Sensing of Environment. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, CANA-DE-AÇÚCAR, IMAGEAMENTO DE SATÉLITE, MAPEAMENTO DO SOLO
ABNT
LUCIANO, Ana Cláudia dos Santos et al. Generalized space-time classifiers for monitoring sugarcane areas in Brazil. Remote Sensing of Environment, v. 215, p. 438-451, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.rse.2018.06.017. Acesso em: 06 jun. 2024.APA
Luciano, A. C. dos S., Picoli, M. C. A., Rocha, J. V., Franco, H. C. J., Sanches, G. M., Leal, M. R. L. V., & le Maire, G. (2018). Generalized space-time classifiers for monitoring sugarcane areas in Brazil. Remote Sensing of Environment, 215, 438-451. doi:10.1016/j.rse.2018.06.017NLM
Luciano AC dos S, Picoli MCA, Rocha JV, Franco HCJ, Sanches GM, Leal MRLV, le Maire G. Generalized space-time classifiers for monitoring sugarcane areas in Brazil [Internet]. Remote Sensing of Environment. 2018 ; 215 438-451.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.rse.2018.06.017Vancouver
Luciano AC dos S, Picoli MCA, Rocha JV, Franco HCJ, Sanches GM, Leal MRLV, le Maire G. Generalized space-time classifiers for monitoring sugarcane areas in Brazil [Internet]. Remote Sensing of Environment. 2018 ; 215 438-451.[citado 2024 jun. 06 ] Available from: https://doi.org/10.1016/j.rse.2018.06.017