Influence of sampling design parameters on biomass predictions derived from airborne lidar data
Language
en
Communication dans un congrès
This item was published in
Proceedings of silviLaser 2015. Durrieu S. et Véga, C. (eds), Proceedings of silviLaser 2015. Durrieu S. et Véga, C. (eds), SilviLaser 2015, 2015-09-28, La Grande Motte. 2015p. 137-139
English 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 ...Read more >
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.Read less <
Keywords
TELEDETECTION
LIDAR
BIOMASSE
ANALYSE DE SENSIBILITE
MODELISATION
ECHANTILLONNAGE
English Keywords
REMOTE SENSING
SENSITIVITY ANALYSIS
SAMPLING
Origin
Hal imported