Modelling full waveform Lidar data on forest structures at plot level : a sensitivity analysis of forest and sensor main characteristics on full-waveform simulated data

Eloi Grau (1) , S. Durrieu (1) , Cécile Antin (2) , H. Debise (1) , Grégoire Vincent (2) , C. Lavalley (1) , M. Bouvier (1)

1 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
2 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations

A new approach for LIDAR altimetry mission for biomass applications (tree height measurement) is explored based on low emitted laser energy at high repetition frequency. Low energy approach drastical ly reduces the laser induced risks. Altimetry performances meet preliminary science requirements . The proposed instrument design is compatible with a space mission.

Mots clés: ALTIMETRY; SENSITIVITY ANALYSIS

Mots clés: ANALYSE DE SENSIBILITE; MODELISATION; ALTIMETRIE; BIOMASSE; LIDAR; FORET; TELEDETECTION

Domaines: Sciences de l'environnement

Eloi Grau, S. Durrieu, Cécile Antin, H. Debise, Grégoire Vincent, et al.. Modelling full waveform Lidar data on forest structures at plot level : a sensitivity analysis of forest and sensor main characteristics on full-waveform simulated data. SilviLaser 2015, Sep 2015, La Grande Motte, France. pp.146-148. ⟨hal-01278935⟩