Order Article Reprints

de Oliveira Matias Í, Genovez PC, Torres SB, de Araújo Ponte FF, de Oliveira AJS, de Miranda FP, Avellino GM. Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach. Remote Sensing. 2021; 13(22):4568. https://doi.org/10.3390/rs13224568

de Oliveira Matias, Ítalo, Patrícia Carneiro Genovez, Sarah Barrón Torres, Francisco Fábio de Araújo Ponte, Anderson José Silva de Oliveira, Fernando Pellon de Miranda, and Gil Márcio Avellino. 2021. "Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach" Remote Sensing 13, no. 22: 4568. https://doi.org/10.3390/rs13224568

de Oliveira Matias, Í., Genovez, P. C., Torres, S. B., de Araújo Ponte, F. F., de Oliveira, A. J. S., de Miranda, F. P., & Avellino, G. M. (2021). Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach. Remote Sensing, 13(22), 4568. https://doi.org/10.3390/rs13224568