Article Versions Notes

Bermudez J, Rogers C, Sothe C, Cyr D, Gonsamo A. 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. 2026; 18(15):2477. https://doi.org/10.3390/rs18152477

Bermudez, Jose, Cheryl Rogers, Camile Sothe, Dominic Cyr, and Alemu Gonsamo. 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, no. 15: 2477. https://doi.org/10.3390/rs18152477

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