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| Registros recuperados : 14 | |
| 2. |  | SILVA, W.C.; RIBEIRO, J.d.; SOUZA, H.E.M.de; CORREA, R.da S. Atividade inseticida de Piper aduncum L. (Piperaceae) sobre Aetalion sp. (Hemiptera: Aetalionidae), praga de importancia economica no Amazonas. Acta Amazonica, Manaus, v. 37, n. 2, p. 293-298, jun. 2007.| Biblioteca(s): Epagri-Sede. |
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| 3. | | COSTA, D. A.; CHAVES, M. H.; SILVA, W. C. S.; COST, C. L. S. Constituintes químicos, fenóis totais e atividade antioxidante de Sterculia striata St. Hil. et Naudin. Acta Amazonica, Manaus, v. 40, n. 1, p. 207-212, mar. 2010.| Biblioteca(s): Epagri-Sede. |
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| 8. | | LIMA, L. A.; CRUZ FILHO, R. F.; SANTOS, J. G. dos; SILVA, W. C. Produção de protease colagenolítica por Bacillus stearothermophillus de solo amazônico. Acta Amazonica, Manaus, AM, v. 44, n. 4, p. 403-409, dez. 2014.| Biblioteca(s): Epagri-Sede. |
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| 10. | | SILVA, W. C. da; MARAGON, L. C.; FERREIRA, R. L. C.; FELICIANO, A. L. P.; COSTA JUNIOR, R. F. estudo da regeneracao natural de especies arboreas em fragmento de floresta ombrofila densa, mata das galinhas, no municipio de Catende, zona da mata sul de Pernambuco. Ciencia Florestal, Santa Maria, v. 17, n. 3, p. 321-331, jul./set. 2007.| Biblioteca(s): Epagri-Sede. |
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| 11. | | SILVA, 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| Biblioteca(s): Epagri-Sede. |
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| 12. | | HAMAKAWA, P. J.; FERREIRA, W. P. M.; OLIVEIRA, R. A. de; SILVA, W. C. M. da; SANTOS, R. S. dos. Zoneamento agrícola de pastagens para o estado de Minas Gerais. Informe Agropecuário, Belo Horizonte, MG, v. 33, n. 266, p. 7-16, jan./fev. 2012.| Biblioteca(s): Epagri-Sede. |
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| 13. | | COSTA JUNIOR, R. F.; FERREIRA, R. L. C.; RODAL, M. J. N.; FELICIANO, A. L. P.; MARANGON, L. C.; SILVA, W. C. da. Estrutura fitossociológica do componente arbóreo de um fragmento de Floresta Ombrófila Densa na mata sul de Pernambuco, nordeste do Brasil. Ciência Florestal, Santa Maria, v. 18, n. 1/2, p. 173-183, jan./mai. 2008.| Biblioteca(s): Epagri-Sede. |
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| 14. | | SILVA, W. C. P.; ESPOSTO, E. de M.; LAZARO, N. dos S.; REIS, E. M. F. dos; RODRIGUES, D. dos P. Salmonella spp. em figado e cortes de frangos comercializados em areas do municipio do Rio de Janeiro, RJ. Revista higiene Alimentar, Sao Paulo, v. 20, n. 142, p. 124-131, jul. 2006.| Biblioteca(s): Epagri-Sede. |
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| Registros recuperados : 14 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
11/02/2016 |
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Data da última atualização: |
11/02/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SILVA, E. B.; CATEN, A. T.; DALMMOLIN, R. S. D.; DOTTO, A. C.; SILVA, W. C.; GIASSON, E. |
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Título: |
Modeling soil texture using a limited region of the visible/near infrared spectra. |
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Ano de publicação: |
2015 |
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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 |
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Idioma: |
Inglês |
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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. MenosSoil 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 |
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Palavras-Chave: |
diffuse reflectance spectroscopy; digital soil morphometrics; proximal soil sensing; soil attribute; soil reflectance. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 1124781
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100 1 $aSILVA, E. B.
245 $aModeling soil texture using a limited region of the visible/near infrared spectra.$h[electronic resource]
260 $c2015
520 $aSoil 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.
653 $adiffuse reflectance spectroscopy
653 $adigital soil morphometrics
653 $aproximal soil sensing
653 $asoil attribute
653 $asoil reflectance
700 1 $aCATEN, A. T.
700 1 $aDALMMOLIN, R. S. D.
700 1 $aDOTTO, A. C.
700 1 $aSILVA, W. C.
700 1 $aGIASSON, E.
773 $tIn: INAUGURAL GLOBAL WORKSHOP ON DIGITAL SOIL MORPHOMETRICS, 1., 2015, Madison, Wisconsin USA. Abstracts... Madison, Winsconsin: University of Wisconsin-Madison, 2015. p. 15
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