Data/hora: 26/06/2024 11:16:36

Biblioteca(s): | Epagri-Sede.
Data corrente: | 11/02/2016
Data da última atualização: | 11/02/2016
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 stratification, by samples depth, for example.
Palavras-Chave: | diffuse reflectance spectroscopy; digital soil morphometrics; proximal soil sensing; soil attribute; soil reflectance.
Categoria do assunto: | X Pesquisa, Tecnologia e Engenharia
URL: | http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_37443.pdf
Registro original: | Epagri-Sede (Epagri-Sede)
Exemplares: | Epagri-Sede - (99811-1) - UPC - PL - DD -  -  -  - DIS