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Biblioteca(s):  Epagri-Sede.
Data corrente:  11/02/2016
Data da última atualização:  11/02/2016
Tipo da produção científica:  Resumo em Anais de Congresso
Autoria:  SILVA, E. B.; CATEN, A. T.; DALMMOLIN, R. S. D.; DOTTO, A. C.; SILVA, W. C.; GIASSON, E.
Título:  Modeling soil texture using a limited region of the visible/near infrared spectra.
Ano de publicação:  2015
Fonte/Imprenta:  In: INAUGURAL GLOBAL WORKSHOP ON DIGITAL SOIL MORPHOMETRICS, 1., 2015, Madison, Wisconsin USA. Abstracts... Madison, Winsconsin: University of Wisconsin-Madison, 2015. p. 15
Idioma:  Inglês
Conteúdo:  Soil particle size is an attribute of fundamental importance when defining soil use and management. Proximal Soil Sensing (PSS) attempts to facilitate the acquisition of a larger amount of soil spatial data using a faster and less laborious technique, although an impediment to a wider application of PPS is the equipment cost. Thus, the objective of this study was to evaluate the capacity of a limited spectral acquisition region (325-1075 nm) for modeling soil texture. Soil samples were collected in the southwest part of Marombas river watershed located near the center of Santa Catarina state, south of Brazil. A total of 42 soil profiles were sampled according to the Globalsoilmap.net protocol. A data set of 166 samples was used for modeling and a different data set, 71 samples, was used for model validation. Diffuse reflectance spectroscopy of sieved samples (2 mm) was collected with a spectrometer FieldSpec HandHeld II (ASD Inc.). Savitzky-Golay second derivatives were calculated and used in partial least-squares regression modeling with Unscrambler X 10.3. Calibration and validation data set showed homogeneity of variance, as well as, passed the test of comparison between the mean. Sand, clay and silt RMSEP (%) was of 6.56, 7.16 and 5.88, respectively. The R² for validation was 0.15, 0.49 and 0.42 for the same attributes. RPD was below 1.4 for all three attributes. Those results show that modeling soil texture with a limited spectral region might require some previous stra... Mostrar Tudo
Palavras-Chave:  diffuse reflectance spectroscopy; digital soil morphometrics; proximal soil sensing; soil attribute; soil reflectance.
Categoria do assunto:  X Pesquisa, Tecnologia e Engenharia
 
Marc:  Mostrar Marc Completo
Registro original:  Epagri-Sede (Epagri-Sede)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status  
Epagri-Sede99811 - 1UPCPL - DD
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1.Imagem marcado/desmarcadoSILVA, E. B.; CATEN, A. T.; DALMOLIN, R. S. D.; DOTTO, A. C.; SILVA, W. C.; GIASSON, E. Estimating Soil Texture from a Limited Region of the Visible/Near-Infrared Spectrum. 1. Ed. In: Hartemink, A. E.; Minasny, B. Progress in Soil Science: Digital Soil Morphometrics. 1. ed. Suiça: Springer International Publishing, 2016. p. 73-87.
Tipo: Capítulo em Livro Técnico-Científico
Biblioteca(s): Epagri-Sede.
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2.Imagem marcado/desmarcadoSILVA, E. B.; CATEN, A. T.; DALMMOLIN, R. S. D.; DOTTO, A. C.; SILVA, W. C.; GIASSON, E. Modeling soil texture using a limited region of the visible/near infrared spectra. In: INAUGURAL GLOBAL WORKSHOP ON DIGITAL SOIL MORPHOMETRICS, 1., 2015, Madison, Wisconsin USA. Abstracts... Madison, Winsconsin: University of Wisconsin-Madison, 2015. p. 15
Tipo: Resumo em Anais de Congresso
Biblioteca(s): Epagri-Sede.
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