Automatic spatial rainfall estimation on limited coverage areas (2021)
- Authors:
- USP affiliated authors: MENDIONDO, EDUARDO MARIO - EESC ; SARAIVA, ANTONIO MAURO - EP ; DELBEM, ALEXANDRE CLÁUDIO BOTAZZO - ICMC ; SILVA, ROBERTO FRAY DA - IEA ; GESUALDO, GABRIELA CHIQUITO - EESC ; BENSO, MARCOS ROBERTO - EESC
- Unidades: EESC; EP; ICMC; IEA
- DOI: 10.1109/MetroAgriFor52389.2021.9628691
- Subjects: INTERPOLAÇÃO; CHUVA; PANTANAL
- Keywords: Cross-validation; limited coverage areas; ungauged basins; rainfall estimation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: IEEE International Workshop on Metrology for Agriculture and Forestry - MetroAgriFor
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FAVA, Maria Clara et al. Automatic spatial rainfall estimation on limited coverage areas. Proceedings, 2021Tradução . . Disponível em: https://doi.org/10.1109/MetroAgriFor52389.2021.9628691. Acesso em: 27 dez. 2025. -
APA
Fava, M. C., Silva, R. F. da, Gesualdo, G. C., Benso, M. R., Mendiondo, E. M., Saraiva, A. M., et al. (2021). Automatic spatial rainfall estimation on limited coverage areas. Proceedings. doi:10.1109/MetroAgriFor52389.2021.9628691 -
NLM
Fava MC, Silva RF da, Gesualdo GC, Benso MR, Mendiondo EM, Saraiva AM, Delbem ACB, Padovani CR. Automatic spatial rainfall estimation on limited coverage areas [Internet]. Proceedings. 2021 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/MetroAgriFor52389.2021.9628691 -
Vancouver
Fava MC, Silva RF da, Gesualdo GC, Benso MR, Mendiondo EM, Saraiva AM, Delbem ACB, Padovani CR. Automatic spatial rainfall estimation on limited coverage areas [Internet]. Proceedings. 2021 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/MetroAgriFor52389.2021.9628691 - A data-driven framework for identifying productivity zones and the impact of agricultural droughts in sugarcane using SPI and unsupervised learning
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Informações sobre o DOI: 10.1109/MetroAgriFor52389.2021.9628691 (Fonte: oaDOI API)
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