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Assessing biomass based on canopy height profiles using airborne laser scanning data in eucalypt plantations
Silva, André Gracioso Peres; Gõrgens, Eric Bastos; Campoe, Otávio Camargo; Alvares, Clayton Alcarde; Stape, José Luiz; Rodriguez, Luiz Carlos Estraviz.
Afiliação
  • Silva, André Gracioso Peres; University of São Paulo. Escola Superior de Agricultura "Luiz de Queiroz". Deparment of Forest Science. Piracicaba. BR
  • Gõrgens, Eric Bastos; University of São Paulo. Escola Superior de Agricultura "Luiz de Queiroz". Deparment of Forest Science. Piracicaba. BR
  • Campoe, Otávio Camargo; Forestry Science and Research Institute. Piracicaba. BR
  • Alvares, Clayton Alcarde; Forestry Science and Research Institute. Piracicaba. BR
  • Stape, José Luiz; North Carolina State University. Department of Forestry and Environmental Resources. Raleigh. US
  • Rodriguez, Luiz Carlos Estraviz; University of São Paulo. Escola Superior de Agricultura "Luiz de Queiroz". Deparment of Forest Science. Piracicaba. BR
Sci. agric ; 72(6): 504-512, Nov.-Dec. 2015. ilus, tab, graf
Article em En | VETINDEX | ID: biblio-1497525
Biblioteca responsável: BR68.1
Localização: BR68.1
ABSTRACT
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).
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Texto completo: 1 Base de dados: VETINDEX Assunto principal: Microscopia Confocal / Biomassa / Eucalyptus / Identificação Biométrica Idioma: En Revista: Sci. agric Ano de publicação: 2015 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
Buscar no Google

Texto completo: 1 Base de dados: VETINDEX Assunto principal: Microscopia Confocal / Biomassa / Eucalyptus / Identificação Biométrica Idioma: En Revista: Sci. agric Ano de publicação: 2015 Tipo de documento: Article