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

Abstract : 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.
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  • HAL Id : hal-01286833, version 1
  • IRSTEA : PUB00046522

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M. Bouvier, S. Durrieu, R. 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⟩

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