Picoli, Michelle Cristina Araujo; Machado, Pedro Gerber 
; Duft, Daniel Garbellini ; Scarpare, Fabio Vale; Corrêa, Simone Toni Ruiz ; Hernandes, Thayse Aparecida Dourado; Rocha, Jansle Vieira
Fonte: Modeling Earth Systems and Environment. Unidades: IEE, ESALQ
Assuntos: BALANÇO HÍDRICO, CANA-DE-AÇÚCAR, DEFICIT HÍDRICO, SECA, SENSORIAMENTO REMOTO
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PICOLI, Michelle Cristina Araujo et al. Sugarcane drought detection through spectral indices derived modeling by remote-sensing techniques. Modeling Earth Systems and Environment, v. 5, p. 1679-1688, 2019Tradução . . Disponível em: https://doi.org/10.1007/s40808-019-00619-6. Acesso em: 15 nov. 2024.APA
Picoli, M. C. A., Machado, P. G., Duft, D. G., Scarpare, F. V., Corrêa, S. T. R., Hernandes, T. A. D., & Rocha, J. V. (2019). Sugarcane drought detection through spectral indices derived modeling by remote-sensing techniques. Modeling Earth Systems and Environment, 5, 1679-1688. doi:10.1007/s40808-019-00619-6NLM
Picoli MCA, Machado PG, Duft DG, Scarpare FV, Corrêa STR, Hernandes TAD, Rocha JV. Sugarcane drought detection through spectral indices derived modeling by remote-sensing techniques [Internet]. Modeling Earth Systems and Environment. 2019 ; 5 1679-1688.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s40808-019-00619-6Vancouver
Picoli MCA, Machado PG, Duft DG, Scarpare FV, Corrêa STR, Hernandes TAD, Rocha JV. Sugarcane drought detection through spectral indices derived modeling by remote-sensing techniques [Internet]. Modeling Earth Systems and Environment. 2019 ; 5 1679-1688.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s40808-019-00619-6
