Proposal of a method to determine the correlation between total suspended solids and dissolved organic matter in water bodies from spectral imaging and artificial neural networks (2018)
- Authors:
- USP affiliated authors: MAUAD, FREDERICO FABIO - EESC ; GUIMARÃES, TAINÁ THOMASSIM - EESC
- Unidade: EESC
- DOI: 10.3390/s18010159
- Subjects: TEMPERATURA ATMOSFÉRICA; REDES NEURAIS; AERONAVES NÃO TRIPULADAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
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- Cor do Acesso Aberto: gold
- Licença: cc-by
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ABNT
VERONEZ, Maurício Roberto et al. Proposal of a method to determine the correlation between total suspended solids and dissolved organic matter in water bodies from spectral imaging and artificial neural networks. Sensors, v. 18, n. ja 2018, 2018Tradução . . Disponível em: https://doi.org/10.3390/s18010159. Acesso em: 29 dez. 2025. -
APA
Veronez, M. R., Kupssinskü, L. S., Guimarães, T. T., Koste, E. C., Silva, J. M. da, Souza, L. V. de, et al. (2018). Proposal of a method to determine the correlation between total suspended solids and dissolved organic matter in water bodies from spectral imaging and artificial neural networks. Sensors, 18( ja 2018). doi:10.3390/s18010159 -
NLM
Veronez MR, Kupssinskü LS, Guimarães TT, Koste EC, Silva JM da, Souza LV de, Oliverio WFM, Jardim RS, Koch IÉ, Souza, Gonzaga Junior L, Mauad FF, Inocêncio LC, Bordin F. Proposal of a method to determine the correlation between total suspended solids and dissolved organic matter in water bodies from spectral imaging and artificial neural networks [Internet]. Sensors. 2018 ; 18( ja 2018):[citado 2025 dez. 29 ] Available from: https://doi.org/10.3390/s18010159 -
Vancouver
Veronez MR, Kupssinskü LS, Guimarães TT, Koste EC, Silva JM da, Souza LV de, Oliverio WFM, Jardim RS, Koch IÉ, Souza, Gonzaga Junior L, Mauad FF, Inocêncio LC, Bordin F. Proposal of a method to determine the correlation between total suspended solids and dissolved organic matter in water bodies from spectral imaging and artificial neural networks [Internet]. Sensors. 2018 ; 18( ja 2018):[citado 2025 dez. 29 ] Available from: https://doi.org/10.3390/s18010159 - Geometry accuracy of DSM in water body margin obtained from an RGB camera with NIR band and a multispectral sensor embedded in UAV
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Informações sobre o DOI: 10.3390/s18010159 (Fonte: oaDOI API)
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