Article Versions Notes

Kuck TN, Sano EE, Bispo PdC, Shiguemori EH, Silva Filho PFF, Matricardi EAT. A Comparative Assessment of Machine-Learning Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images. Remote Sensing. 2021; 13(17):3341. https://doi.org/10.3390/rs13173341

Kuck, Tahisa Neitzel, Edson Eyji Sano, Polyanna da Conceição Bispo, Elcio Hideiti Shiguemori, Paulo Fernando Ferreira Silva Filho, and Eraldo Aparecido Trondoli Matricardi. 2021. "A Comparative Assessment of Machine-Learning Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images" Remote Sensing 13, no. 17: 3341. https://doi.org/10.3390/rs13173341

Kuck, T. N., Sano, E. E., Bispo, P. d. C., Shiguemori, E. H., Silva Filho, P. F. F., & Matricardi, E. A. T. (2021). A Comparative Assessment of Machine-Learning Techniques for Forest Degradation Caused by Selective Logging in an Amazon Region Using Multitemporal X-Band SAR Images. Remote Sensing, 13(17), 3341. https://doi.org/10.3390/rs13173341