Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in Brazil (2017)
- Authors:
- USP affiliated authors: PEREIRA, JOÃO PORTO DE ALBUQUERQUE - ICMC ; MENDIONDO, EDUARDO MARIO - EESC
- Unidades: ICMC; EESC
- DOI: 10.1016/j.dss.2017.03.001
- Subjects: ENGENHARIA HIDRÁULICA; SISTEMAS DE INFORMAÇÃO; GESTÃO DA SEGURANÇA EM SISTEMAS COMPUTACIONAIS; SEGURANÇA DE REDES
- Language: Inglês
- Imprenta:
- Publisher place: Amsterdam, Netherlands
- Date published: 2017
- Source:
- Título: Decision Support Systems
- ISSN: 0167-9236
- Volume/Número/Paginação/Ano: v. 97, p. 12-22, May 2017
- Status:
- Artigo aberto em periódico híbrido (Hybrid Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
HORITA, Flávio Eduardo Aoki et al. Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in Brazil. Decision Support Systems, v. 97, p. 12-22, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.dss.2017.03.001. Acesso em: 01 abr. 2026. -
APA
Horita, F. E. A., Albuquerque, J. P. de, Marchezini, V., & Mendiondo, E. M. (2017). Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in Brazil. Decision Support Systems, 97, 12-22. doi:10.1016/j.dss.2017.03.001 -
NLM
Horita FEA, Albuquerque JP de, Marchezini V, Mendiondo EM. Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in Brazil [Internet]. Decision Support Systems. 2017 ; 97 12-22.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1016/j.dss.2017.03.001 -
Vancouver
Horita FEA, Albuquerque JP de, Marchezini V, Mendiondo EM. Bridging the gap between decision-making and emerging big data sources: an application of a model-based framework to disaster management in Brazil [Internet]. Decision Support Systems. 2017 ; 97 12-22.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1016/j.dss.2017.03.001 - Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring
- Flood citizen observatory: a crowdsourcing-based approach for flood risk management in Brazil
- SDI-GEO-WEB: services for research, administration and sharing of environmental data and information of different climate change scenarios at peri-urban river basin scales
- Combining wireless sensor networks and machine learning for flash flood nowcasting
- AGORA-GeoDash: a geosensor dashboard for real-time flood risk monitoring
- Mining rainfall spatio-temporal patterns in twitter: a temporal approach
- Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks
- Identifying elements at risk from OpenStreetMap: the case of flooding
- A systematic literature review of geospatial web service composition
- Collaboration among humanitarian relief organizations and volunteer technical communities: identifying research opportunities and challenges through a systematic literature review
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