Cite
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery.
MLA
D’Amico, G., et al. “A Deep Learning Approach for Automatic Mapping of Poplar Plantations Using Sentinel-2 Imagery.” GIScience & Remote Sensing, vol. 58, no. 8, Nov. 2021, pp. 1352–68. EBSCOhost, https://doi.org/10.1080/15481603.2021.1988427.
APA
D’Amico, G., Francini, S., Giannetti, F., Vangi, E., Travaglini, D., Chianucci, F., Mattioli, W., Grotti, M., Puletti, N., Corona, P., & Chirici, G. (2021). A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery. GIScience & Remote Sensing, 58(8), 1352–1368. https://doi.org/10.1080/15481603.2021.1988427
Chicago
D’Amico, G., S. Francini, F. Giannetti, E. Vangi, D. Travaglini, F. Chianucci, W. Mattioli, et al. 2021. “A Deep Learning Approach for Automatic Mapping of Poplar Plantations Using Sentinel-2 Imagery.” GIScience & Remote Sensing 58 (8): 1352–68. doi:10.1080/15481603.2021.1988427.