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 do periódico: 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: 19 abr. 2024. -
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 2024 abr. 19 ] 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 2024 abr. 19 ] 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
- Long term consequences of climate shocks on crop insurance in BraziL
- Multi-objective methods for crop insurance premiums: framework proposal and a case study in sugarcane
- Index-based insurance to mitigate current and future extreme events financial losses for water utilities
- A theoretical framework for multi-Hazard risk mapping on agricultural areas considering artificial intelligence, IoT, and climate change scenarios
- Urban ecohydrology under socioeconomic scenarios: the protagonism of nature-based solutions in a changing future
- Identification of risk areas using spatial clustering to improve dengue monitoring in urban environments
- MultiMaps: a tool for decision-making support in the analyzes of multiple epidemics
- Proposal of a framework for improving multi-criteria decision-making related to epidemics using heterogeneous spatial data and evolutionary algorithms
- Review article: Design and evaluation of weather index insurance for multi-hazard resilience and food insecurity
Informações sobre o DOI: 10.1109/MetroAgriFor52389.2021.9628691 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 3054224.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
