An Assessment of the GEDI Lasers' Capabilities in Detecting Canopy Tops and Their Penetration in a Densely Vegetated, Tropical Area. - Ibrahim Fayad; Nicolas N. Baghdadi; Kamel Lahssini (Remote. Sens., 2022)

Combining LiDAR Metrics and Sentinel-2 Imagery to Estimate Basal Area and Wood Volume in Complex Forest Environment via Neural Networks. - Kamel Lahssini; Florian Teste; Karun Reuel Dayal; Sylvie Durrieu; Dino Ienco; Jean-Matthieu Monnet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests. - Kamel Lahssini; Nicolas N. Baghdadi; Guerric le Maire; Ibrahim Fayad (Remote. Sens., 2022)

Enhancing Forest Attribute Prediction by Considering Terrain and Scan Angles From Lidar Point Clouds: A Neural Network Approach. - Karun Reuel Dayal; Sylvie Durrieu; Kamel Lahssini; Dino Ienco; Jean-Matthieu Monnet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Investigating the Influence of GEDI Vegetation Penetration on Canopy Height Estimation. - Kamel Lahssini; Nicolas N. Baghdadi; Guerric le Maire; Stéphane Dupuy; Ibrahim Fayad (IGARSS, 2024)

Integrating Multi-Source Satellite Data and Environmental Information in a U-Net Architecture for Canopy Height Mapping in French Guiana. - Kamel Lahssini; Nicolas N. Baghdadi; Guerric le Maire; Ibrahim Fayad; Grégoire Vincent (IGARSS, 2024)