Kamel Lahssini

According to our database, Kamel Lahssini authored at least 4 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

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

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., December, 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

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