Wood species identification from Atlantic forest by near infrared spectroscopy

Pace, José-Henrique Camargo ^[1] ; Latorraca, João-Vicente de Figueiredo ^[1] ; Hein, Paulo-Ricardo Gherardi ^[2] ; Carvalho, Alexandre Monteiro de ^[1] ; Castro, Jonnys Paz ^[1] ; Silva, Carlos-Eduardo Silveira da ^[1]
1. [1] Universidade Federal Rural do Rio de Janeiro
  
  Universidade Federal Rural do Rio de Janeiro
  
  Brasil
2. [2] Universidade Federal de Lavras
  
  Universidade Federal de Lavras
  
  Brasil
Localización: Forest systems, ISSN 2171-5068, ISSN-e 2171-9845, Vol. 28, Nº. 3, 2019
Idioma: inglés
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Resumen
- Aim of study: Fast and reliable wood identification solutions are needed to combat the illegal trade in native woods. In this study, multivariate analysis was applied in near-infrared (NIR) spectra to identify wood of the Atlantic Forest species.Area of study: Planted forests located in the Vale Natural Reserve in the county of Sooretama (19 ° 01'09 "S 40 ° 05'51" W), Espírito Santo, Brazil.Material and methods: Three trees of 12 native species from homogeneous plantations. The principal component analysis (PCA) and partial least squares regression by discriminant function (PLS-DA) were performed on the woods spectral signatures.Main results: The PCA scores allowed to agroup some wood species from their spectra. The percentage of correct classifications generated by the PLS-DA model was 93.2%. In the independent validation, the PLS-DA model correctly classified 91.3% of the samples.