Article Versions Notes

Furuya DEG, Aguiar JAF, Estrabis NV, Pinheiro MMF, Furuya MTG, Pereira DR, Gonçalves WN, Liesenberg V, Li J, Marcato Junior J, et al. A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery. Remote Sensing. 2020; 12(24):4086. https://doi.org/10.3390/rs12244086

Furuya, Danielle Elis Garcia, João Alex Floriano Aguiar, Nayara V. Estrabis, Mayara Maezano Faita Pinheiro, Michelle Taís Garcia Furuya, Danillo Roberto Pereira, Wesley Nunes Gonçalves, Veraldo Liesenberg, Jonathan Li, José Marcato Junior, and et al. 2020. "A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery" Remote Sensing 12, no. 24: 4086. https://doi.org/10.3390/rs12244086

Furuya, D. E. G., Aguiar, J. A. F., Estrabis, N. V., Pinheiro, M. M. F., Furuya, M. T. G., Pereira, D. R., Gonçalves, W. N., Liesenberg, V., Li, J., Marcato Junior, J., Prado Osco, L., & Ramos, A. P. M. (2020). A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery. Remote Sensing, 12(24), 4086. https://doi.org/10.3390/rs12244086