Nasiri, K.; Guimont-Martin, W.; LaRocque, D.; Jeanson, G.; Bellemare-Vallières, H.; Grondin, V.; Bournival, P.; Lessard, J.; Drolet, G.; Sylvain, J.-D.;
et al. Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment. Forests 2025, 16, 616.
https://doi.org/10.3390/f16040616
AMA Style
Nasiri K, Guimont-Martin W, LaRocque D, Jeanson G, Bellemare-Vallières H, Grondin V, Bournival P, Lessard J, Drolet G, Sylvain J-D,
et al. Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment. Forests. 2025; 16(4):616.
https://doi.org/10.3390/f16040616
Chicago/Turabian Style
Nasiri, Kamyar, William Guimont-Martin, Damien LaRocque, Gabriel Jeanson, Hugo Bellemare-Vallières, Vincent Grondin, Philippe Bournival, Julie Lessard, Guillaume Drolet, Jean-Daniel Sylvain,
and et al. 2025. "Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment" Forests 16, no. 4: 616.
https://doi.org/10.3390/f16040616
APA Style
Nasiri, K., Guimont-Martin, W., LaRocque, D., Jeanson, G., Bellemare-Vallières, H., Grondin, V., Bournival, P., Lessard, J., Drolet, G., Sylvain, J.-D., & Giguère, P.
(2025). Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment. Forests, 16(4), 616.
https://doi.org/10.3390/f16040616
