Article
Comparison of ALS based models for estimating aboveground biomass in three types of Mediterranean forest
Author/s | Guerra Hernández, Juan
Bastos Görgens, Eric García Gutiérrez, Jorge Estraviz Rodriguez, Luiz Carlos Tomé, Margarida González Ferreiro, Eduardo |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2017 |
Deposit Date | 2020-03-20 |
Published in |
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Abstract | 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) ... 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. |
Citation | Guerra 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. |
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