Influence of sampling design parameters on biomass predictions derived from airborne lidar data

M. Bouvier (1) , S. Durrieu (1) , Richard A Fournier (2) , N. Saint-Geours (1) , G. Vincent (3) , D. Guyon (4) , Eloi Grau (1) , Bruno Hérault (5)

1 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
2 CARTEL - Centre d'Applications et de Recherches en TELédétection [Sherbrooke]
3 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
4 UMR ISPA - Interactions Sol Plante Atmosphère
5 UMR ECOFOG - Ecologie des forêts de Guyane

The study provides technical guidelines to optimize sampling design parameters in the context of the implementation of biomass predictive models from airborne lidar data. Parameters under study were those easily controlled when implementing an area-based approach, i.e. lidar pulse density and both field sampling protocols and measurements. Parameters most impacting the model accuracy were identified by conducting a one-factor- at -a-time and a global sensitivity analyses. Number and size of field plot, and plot center position accuracy were identified to be the parameters most impacting model accuracy.

Mots clés: REMOTE SENSING; SENSITIVITY ANALYSIS; SAMPLING

Mots clés: TELEDETECTION; LIDAR; BIOMASSE; ANALYSE DE SENSIBILITE; MODELISATION; ECHANTILLONNAGE

Domaines: Sciences de l'environnement

M. Bouvier, S. Durrieu, Richard A Fournier, N. Saint-Geours, G. Vincent, et al.. Influence of sampling design parameters on biomass predictions derived from airborne lidar data. SilviLaser 2015, Sep 2015, La Grande Motte, France. pp.137-139. ⟨hal-01286833⟩