Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach (2022)
- Authors:
- Autor USP: GONÇALVES, IVO ZUTION - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.agwat.2022.107763
- Subjects: CANA-DE-AÇÚCAR; EVAPOTRANSPIRAÇÃO; IMAGEAMENTO DE SATÉLITE; IRRIGAÇÃO; SENSORIAMENTO REMOTO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Agricultural Water Management
- ISSN: 0378-3774
- Volume/Número/Paginação/Ano: v. 271, art. 107763, p. 1-10, June 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BISPO, R. C et al. Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach. Agricultural Water Management, v. 271, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.agwat.2022.107763. Acesso em: 23 abr. 2024. -
APA
Bispo, R. C., Hernandez, F. B. T., Gonçalves, I. Z., Neale, C. M. U., & Teixeira, A. H. C. (2022). Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach. Agricultural Water Management, 271, 1-10. doi:10.1016/j.agwat.2022.107763 -
NLM
Bispo RC, Hernandez FBT, Gonçalves IZ, Neale CMU, Teixeira AHC. Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach [Internet]. Agricultural Water Management. 2022 ; 271 1-10.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.agwat.2022.107763 -
Vancouver
Bispo RC, Hernandez FBT, Gonçalves IZ, Neale CMU, Teixeira AHC. Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach [Internet]. Agricultural Water Management. 2022 ; 271 1-10.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1016/j.agwat.2022.107763 - Trends of extreme air temperature and precipitation and their impact on corn and soybean yields in Nebraska, USA
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Informações sobre o DOI: 10.1016/j.agwat.2022.107763 (Fonte: oaDOI API)
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