Görgens, Eric BGarcía-Gutiérrez, JorgeGuerra Hernández, JuanEstraviz Rodriguez, Luiz CarlosTomé, MargaridaGonzález Ferreiro, Eduardo2017-10-192017-10-192017-02-17Juan Guerra-Hernández, Eric Bastos Görgens, Jorge García-Gutiérrez, Luiz Carlos Estraviz Rodriguez, Margarida Tomé & Eduardo González-Ferreiro (2016) Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest, European Journal of Remote Sensing, 49:1, 185-2042279-7254http://hdl.handle.net/10347/15865This 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.eng© 2016 by the authors; licensee Italian Society of Remote Sensing (AIT). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/)http://creativecommons.org/licenses/by/4.0/Biomass componentsRemote SensingAirborne laser scanningMediterranean ForestFeature selection approachesMaterias::Investigación::31 Ciencias agrariasjournal article10.5721/EuJRS20164911open access