APA (7th ed.) Citation

Sierra, S., Ramo, R., Padilla, M., & Cobo, A. (2026). Assessing the Impact of LiDAR Density and Input Features on Forest Canopy Height Estimation Through XGBoost, CNN, and CNN + Transformer Approaches. Remote Sensing, 18(4), 584. https://doi.org/10.3390/rs18040584

Chicago Style (17th ed.) Citation

Sierra, Sergio, Rubén Ramo, Marc Padilla, and Adolfo Cobo. "Assessing the Impact of LiDAR Density and Input Features on Forest Canopy Height Estimation Through XGBoost, CNN, and CNN + Transformer Approaches." Remote Sensing 18, no. 4 (2026): 584. https://doi.org/10.3390/rs18040584.

MLA (9th ed.) Citation

Sierra, Sergio, et al. "Assessing the Impact of LiDAR Density and Input Features on Forest Canopy Height Estimation Through XGBoost, CNN, and CNN + Transformer Approaches." Remote Sensing, vol. 18, no. 4, 2026, p. 584, https://doi.org/10.3390/rs18040584.