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Artigo de periodico
Estimation of canopy water content in maize using machine learning and multispectral vegetation indices: comparison of Adaboost regression and other methods (2024)
Magalhães, Leonardo Pinto de ; Rossi, Fabricio
Fonte: Journal of Applied Remote Sensing. Unidades: FZEA, ESALQ
Assuntos: CULTIVO DE PLANTAS, MILHO, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAGALHÃES, Leonardo Pinto de e ROSSI, Fabricio. Estimation of canopy water content in maize using machine learning and multispectral vegetation indices: comparison of Adaboost regression and other methods. Journal of Applied Remote Sensing, v. 18, n. 4, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1117/1.JRS.18.042609. Acesso em: 05 dez. 2025.
APA
Magalhães, L. P. de, & Rossi, F. (2024). Estimation of canopy water content in maize using machine learning and multispectral vegetation indices: comparison of Adaboost regression and other methods. Journal of Applied Remote Sensing, 18( 4), 1-17. doi:10.1117/1.JRS.18.042609
NLM
Magalhães LP de, Rossi F. Estimation of canopy water content in maize using machine learning and multispectral vegetation indices: comparison of Adaboost regression and other methods [Internet]. Journal of Applied Remote Sensing. 2024 ; 18( 4): 1-17.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.18.042609
Vancouver
Magalhães LP de, Rossi F. Estimation of canopy water content in maize using machine learning and multispectral vegetation indices: comparison of Adaboost regression and other methods [Internet]. Journal of Applied Remote Sensing. 2024 ; 18( 4): 1-17.[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.18.042609
Artigo de periodico
Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery (2023)
Carvalho, Breylla Campos; Figueira, Raquel Medeiros Andrade; Fortunato, Humberto F
Fonte: Journal of Applied Remote Sensing. Unidade: CEBIMAR
Assuntos: SENSORIAMENTO REMOTO, DISCOS DE SECCHI
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Breylla Campos e FIGUEIRA, Raquel Medeiros Andrade e FORTUNATO, Humberto F. Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery. Journal of Applied Remote Sensing, v. 17, n. 1, 2023Tradução . . Disponível em: https://doi.org/10.1117/1.JRS.17.014512. Acesso em: 05 dez. 2025.
APA
Carvalho, B. C., Figueira, R. M. A., & Fortunato, H. F. (2023). Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery. Journal of Applied Remote Sensing, 17( 1). doi:10.1117/1.JRS.17.014512
NLM
Carvalho BC, Figueira RMA, Fortunato HF. Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery [Internet]. Journal of Applied Remote Sensing. 2023 ; 17( 1):[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.17.014512
Vancouver
Carvalho BC, Figueira RMA, Fortunato HF. Spatio-temporal water quality variability and regionalization of tropical reservoirs based on Landsat imagery [Internet]. Journal of Applied Remote Sensing. 2023 ; 17( 1):[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.17.014512
Artigo de periodico
Proximal sensing estimation of glyphosate injury on weeds in central Brazil (2019)
Silva, Anderson R. da ; Freitas, Marco A. M. de; Costa, Divino de Souza ; Araujo, Lucas da Silva ; Rocha, Rodrigo de Almeida; Santos, Pedro V. dos; Galvani Filho, Mario E
Fonte: Journal of Applied Remote Sensing. Unidade: ESALQ
Assuntos: FITOTOXICIDADE, HERBICIDAS, PLANTAS DANINHAS, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Anderson R. da et al. Proximal sensing estimation of glyphosate injury on weeds in central Brazil. Journal of Applied Remote Sensing, v. 13, n. 4, 2019Tradução . . Disponível em: https://doi.org/10.1117/1.JRS.13.044524. Acesso em: 05 dez. 2025.
APA
Silva, A. R. da, Freitas, M. A. M. de, Costa, D. de S., Araujo, L. da S., Rocha, R. de A., Santos, P. V. dos, & Galvani Filho, M. E. (2019). Proximal sensing estimation of glyphosate injury on weeds in central Brazil. Journal of Applied Remote Sensing, 13( 4). doi:10.1117/1.JRS.13.044524
NLM
Silva AR da, Freitas MAM de, Costa D de S, Araujo L da S, Rocha R de A, Santos PV dos, Galvani Filho ME. Proximal sensing estimation of glyphosate injury on weeds in central Brazil [Internet]. Journal of Applied Remote Sensing. 2019 ; 13( 4):[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.13.044524
Vancouver
Silva AR da, Freitas MAM de, Costa D de S, Araujo L da S, Rocha R de A, Santos PV dos, Galvani Filho ME. Proximal sensing estimation of glyphosate injury on weeds in central Brazil [Internet]. Journal of Applied Remote Sensing. 2019 ; 13( 4):[citado 2025 dez. 05 ] Available from: https://doi.org/10.1117/1.JRS.13.044524

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