Data/hora: 11/06/2024 04:49:26

Provedor de dados: | 63
País: | Brazil
Título: | Assessing biomass based on canopy height profiles using airborne laser scanning data in eucalypt plantations
Autores: | Silva,André Gracioso Peres; Görgens,Eric Bastos; Campoe,Otávio Camargo; Alvares,Clayton Alcarde; Stape,José Luiz; Rodriguez,Luiz Carlos Estraviz.
Data: | 2015-12-01
Ano: | 2015
Palavras-chave: | LiDAR; Basal area; Biometric model; Forest inventory; Fast-growing plantations.
Resumo: | This study aimed to map the stem biomass of an even-aged eucalyptus plantation in southeastern Brazil based on canopy height profile (CHPs) statistics using wall-to-wall discrete return airborne laser scanning (ALS), and compare the results with alternative maps generated by ordinary kriging interpolation from field-derived measurements. The assessment of stem biomass with ALS data was carried out using regression analysis methods. Initially, CHPs were determined to express the distribution of laser point heights in the ALS cloud for each sample plot. The probability density function (pdf) used was the Weibull distribution, with two parameters that in a secondary task, were used as explanatory variables to model stem biomass. ALS metrics such as height percentiles, dispersion of heights, and proportion of points were also investigated. A simple linear regression model of stem biomass as a function of the Weibull scale parameter showed high correlation (adj.R2 = 0.89). The alternative model considering the 30th percentile and the Weibull shape parameter slightly improved the quality of the estimation (adj.R2 = 0.93). Stem biomass maps based on the Weibull scale parameter doubled the accuracy of the ordinary kriging approach (relative root mean square error = 6 % and 13 %, respectively).
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000600504
Editor: | São Paulo - Escola Superior de Agricultura "Luiz de Queiroz"
Relação: | 10.1590/0103-9016-2015-0070
Formato: | text/html
Fonte: | Scientia Agricola  v.72 n.6 2015
Fonte: | info:eu-repo/semantics/openAccess