Source: Agricultural Water Management. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, EVAPOTRANSPIRAÇÃO, IMAGEAMENTO DE SATÉLITE, IRRIGAÇÃO, SENSORIAMENTO REMOTO
ABNT
GONÇALVES, Ivo Zution et al. Remote sensing-based evapotranspiration modeling using geeSEBAL for sugarcane irrigation management in Brazil. Agricultural Water Management, v. 274, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.agwat.2022.107965. Acesso em: 05 out. 2024.APA
Gonçalves, I. Z., Ruhoff, A., Laipelt, L., Bispo, R. C., Hernandez, F. B. T., Neale, C. M. U., et al. (2022). Remote sensing-based evapotranspiration modeling using geeSEBAL for sugarcane irrigation management in Brazil. Agricultural Water Management, 274, 1-12. doi:10.1016/j.agwat.2022.107965NLM
Gonçalves IZ, Ruhoff A, Laipelt L, Bispo RC, Hernandez FBT, Neale CMU, Teixeira AHC, Marin FR. Remote sensing-based evapotranspiration modeling using geeSEBAL for sugarcane irrigation management in Brazil [Internet]. Agricultural Water Management. 2022 ; 274 1-12.[citado 2024 out. 05 ] Available from: https://doi.org/10.1016/j.agwat.2022.107965Vancouver
Gonçalves IZ, Ruhoff A, Laipelt L, Bispo RC, Hernandez FBT, Neale CMU, Teixeira AHC, Marin FR. Remote sensing-based evapotranspiration modeling using geeSEBAL for sugarcane irrigation management in Brazil [Internet]. Agricultural Water Management. 2022 ; 274 1-12.[citado 2024 out. 05 ] Available from: https://doi.org/10.1016/j.agwat.2022.107965