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Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs.
Souza, Anderson P; Oliveira, Bruno A; Andrade, Mauren L; Starling, Maria Clara V M; Pereira, Alexandre H; Maillard, Philippe; Nogueira, Keiller; Dos Santos, Jefersson A; Amorim, Camila C.
Afiliação
  • Souza AP; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Oliveira BA; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Andrade ML; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; Universidade Tecnológica Federal do Paraná, Ponta Grossa, PR, Brazil.
  • Starling MCVM; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Pereira AH; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Maillard P; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; Institute of Geosciences, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
  • Nogueira K; University of Stirling, FK9 4LA Stirling, UK.
  • Dos Santos JA; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil; University of Stirling,
  • Amorim CC; SIMOA - Intelligent Systems for Environmental Monitoring, Department of Sanitary and Environmental Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil. Electronic address: camila@desa.ufmg.br.
Sci Total Environ ; 902: 165964, 2023 Dec 01.
Article em En | MEDLINE | ID: mdl-37541505
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Holanda