Influence of sampling design parameters on biomass predictions derived from airborne lidar data
Idioma
en
Communication dans un congrès
Este ítem está publicado en
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
Resumen en inglés
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 ...Leer más >
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.< Leer menos
Palabras clave
TELEDETECTION
LIDAR
BIOMASSE
ANALYSE DE SENSIBILITE
MODELISATION
ECHANTILLONNAGE
Palabras clave en inglés
REMOTE SENSING
SENSITIVITY ANALYSIS
SAMPLING
Orígen
Importado de HalCentros de investigación