RT Journal Article
T1 Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest
A1 Görgens, Eric B
A1 García-Gutiérrez, Jorge
A1 Guerra Hernández, Juan
A1 Estraviz Rodriguez, Luiz Carlos
A1 Tomé, Margarida
A1 González Ferreiro, Eduardo
K1 Biomass components
K1 Remote Sensing
K1 Airborne laser scanning
K1 Mediterranean Forest
K1 Feature selection approaches
AB This 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.
PB Taylor & Francis
SN 2279-7254
YR 2017
FD 2017-02-17
LK http://hdl.handle.net/10347/15865
UL http://hdl.handle.net/10347/15865
LA eng
NO Juan 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, 185-204
NO The study was supported by the ForEadapt project ‘Knowledge exchange betweenEurope and America on forest growth models and optimization for adaptive forestry’(PIRSES-GA-2010-269257). The authors thank (i) the foresters of the ExtremaduraForest Service for assistance with data collection, (ii) the Portuguese Science Foundation(SFRH/BD/52408/2013) for funding the research activities of Juan Guerra and (iii) theGalician Government and European Social Fund (Official Journal of Galicia – DOG nº 52,17/03/2014 p. 11343, exp: POS-A/2013/049) for funding the postdoctoral research staysof Eduardo González-Ferreiro and iv) the anonymous Reviewers of the European Journalof Remote Sensing for their helpful feedback. The research was carried out in the Centrode Estudos Florestais: a research unit funded by Fundação para a Ciência e a Tecnologia(Portugal) within UID/AGR/00239/2013.
DS Minerva
RD 3 may 2026