Bermudez, J., Rogers, C., Sothe, C., Cyr, D., & Gonsamo, A. (2026). An Integrated Deep Learning Approach to Estimate Canopy Height and Uncertainty by Combining Seasonal Optical, SAR and Limited GEDI LiDAR Data over Ontario's Managed Forests, Canada. Remote Sensing, 18(15), 2477. https://doi.org/10.3390/rs18152477
Chicago Style (17th ed.) CitationBermudez, Jose, Cheryl Rogers, Camile Sothe, Dominic Cyr, and Alemu Gonsamo. "An Integrated Deep Learning Approach to Estimate Canopy Height and Uncertainty by Combining Seasonal Optical, SAR and Limited GEDI LiDAR Data over Ontario's Managed Forests, Canada." Remote Sensing 18, no. 15 (2026): 2477. https://doi.org/10.3390/rs18152477.
MLA (9th ed.) CitationBermudez, Jose, et al. "An Integrated Deep Learning Approach to Estimate Canopy Height and Uncertainty by Combining Seasonal Optical, SAR and Limited GEDI LiDAR Data over Ontario's Managed Forests, Canada." Remote Sensing, vol. 18, no. 15, 2026, p. 2477, https://doi.org/10.3390/rs18152477.