2020-03-202020-03-202017Guerra Hernández, J., Bastos Görgens, E., García Gutiérrez, J., Estraviz Rodriguez, L.C., Tomé, M. y González Ferreiro, E. (2017). Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest. European Journal of Remote Sensing, 49 (1), 185-204.2279-7254https://hdl.handle.net/11441/94379This study aimed to develop ALS-based models for estimating stem, crown and aboveground biomass in three types of Mediterranean forest, based on low density ALS data. Two different modelling approaches were used: (i) linear models with different variable selection methods (Stepwise Selection [SS], Clustering/Exhaustive search [CE] and Genetic Algorithm [GA]), and (ii) previously Published Models (PM) applicable to diverse types of forest. Results indicated more accurate estimations of biomass components for pure Pinus pinea L. (rRMSE = 25.90-26.16%) than for the mixed (30.86-36.34%) and Quercus pyrenaica Willd. forests (32.78-34.84%). All the tested approaches were valuable, but SS and GA performed better than CE and PM in most cases.application/pdf21engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Biomass componentsRemote sensingAirborne laser scanningMediterranean forestFeature selection approachesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.5721/EuJRS2016491121078239