Wood species identification from Atlantic forest by near infrared spectroscopy

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorPace, José Henrique Camargo-
Autor(es): dc.creatorLatorraca, João Vicente de Figueiredo-
Autor(es): dc.creatorHein, Paulo Ricardo Gherardi-
Autor(es): dc.creatorCarvalho, Alexandre Monteiro de-
Autor(es): dc.creatorCastro, Jonnys Paz-
Autor(es): dc.creatorSilva, Carlos Eduardo Silveira da-
Data de aceite: dc.date.accessioned2026-02-09T11:48:54Z-
Data de disponibilização: dc.date.available2026-02-09T11:48:54Z-
Data de envio: dc.date.issued2020-06-01-
Data de envio: dc.date.issued2020-06-01-
Data de envio: dc.date.issued2019-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/41320-
Fonte completa do material: dc.identifierhttps://revistas.inia.es/index.php/fs/article/view/14558-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1148058-
Descrição: dc.descriptionAim 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. Research highlights: The PLS-DA models were adequate to classify and identify the twelve native wood species based on the respective NIR spectra, showing good ability to classify independent native wood samples.-
Idioma: dc.languageen-
Publicador: dc.publisherInstituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceForest Systems-
Palavras-chave: dc.subjectNative woods-
Palavras-chave: dc.subjectNIR-
Palavras-chave: dc.subjectPrincipal components-
Palavras-chave: dc.subjectPartial least squares regression-
Palavras-chave: dc.subjectMadeiras nativas - Identificação-
Palavras-chave: dc.subjectEspectroscopia no infravermelho próximo-
Palavras-chave: dc.subjectMadeira - Mata Atlântica-
Palavras-chave: dc.subjectRegressão parcial de mínimos quadrados-
Título: dc.titleWood species identification from Atlantic forest by near infrared spectroscopy-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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