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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
22/11/2002 |
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Data da última atualização: |
22/11/2002 |
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Autoria: |
ACCIOLY, L. J. de O. |
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Título: |
Applying spectral mixture analysis (SMA) for soil information extraction on the airborne visible/infrared imaging spectrometer (AVIRIS) data. |
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Ano de publicação: |
1997 |
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Fonte/Imprenta: |
s.l.: University of Arizona, 1997. |
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Páginas: |
233p. |
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Idioma: |
Inglês |
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Notas: |
Ph.D. Thesis. |
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Conteúdo: |
The research objectives of this study were formulated to produce the soil spectral maps using spectral mixture analysis on the AVIRIS data of the Walnut Gulch Experimental Watershed, Tombstone, Arizona. To accomplish this objective the spectral characteristics of eight soils of this Watershed were determined considering the effect of the source of illumination/sensor viewing geometry, degree of wetness (dry vs wet), surface roughness, and the source of the spectra (field, sieved samples and lab) on the selection of image and reference endmembers. The scale effect of the source of spectra was also studied in connection with AVIRIS spectral response. The soils presented anisotropic behavior which varied inversely with the wavelength, and it was reduced under wet conditions. Loss of information occurred when moving from large scale data set (lab, sieved sample, and field spectra) to small scale data (AVIRIS). Cluster analysis and factor analysis were used to extract information about how soil reference endmembers are grouped in relation to viewing angles, degree of wetness and the source of the spectra. Factor analysis was applied to identify the key set of bands that carried most of the information. Soil spectral classes varied as a result of scale effects, soil conditions (wet or dry), and viewing angles. Factor analysis showed that with four unique bands (located at 0.410, 1.310, 0650, and 2.400 um) it was possible to reconstruct the four basic soil spectral curves (Epitaph, Graham, McAllister, and Baboquivar) from the lab data AVIRIS image was modeled using mixture analysis on the basis of image endmembers and reference endmembers. Based on the four dimensions of the AVIRIS data image endmembers were defined by three soil spectra (McAllister, Stronghold-3, and Graham) and by one spectra of green vegetation. The shade fractions were separated from dark soils (Graham and Epitaph) on the basis of the spatial context. The target test identified at least seven reference endmembers in the AVIRIS scene of the Watershed however; mixture analysis failed in obtaining fraction images from these reference endmembers. Mixture analysis was able to produce fraction imagens with a relatively high error for a small set (3) of reference endmembers (McAllister and Graham soils, and walnut leaf). However when applied to a subset of pixed extracted from the AVIRIS image mixture analysis identified the reference endmembers and quantified their proportions. MenosThe research objectives of this study were formulated to produce the soil spectral maps using spectral mixture analysis on the AVIRIS data of the Walnut Gulch Experimental Watershed, Tombstone, Arizona. To accomplish this objective the spectral characteristics of eight soils of this Watershed were determined considering the effect of the source of illumination/sensor viewing geometry, degree of wetness (dry vs wet), surface roughness, and the source of the spectra (field, sieved samples and lab) on the selection of image and reference endmembers. The scale effect of the source of spectra was also studied in connection with AVIRIS spectral response. The soils presented anisotropic behavior which varied inversely with the wavelength, and it was reduced under wet conditions. Loss of information occurred when moving from large scale data set (lab, sieved sample, and field spectra) to small scale data (AVIRIS). Cluster analysis and factor analysis were used to extract information about how soil reference endmembers are grouped in relation to viewing angles, degree of wetness and the source of the spectra. Factor analysis was applied to identify the key set of bands that carried most of the information. Soil spectral classes varied as a result of scale effects, soil conditions (wet or dry), and viewing angles. Factor analysis showed that with four unique bands (located at 0.410, 1.310, 0650, and 2.400 um) it was possible to reconstruct the four basic soil spectral curves (Epitaph,... Mostrar Tudo |
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Categoria do assunto: |
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Marc: |
LEADER 02915nam a2200133 a 4500
001 1334252
005 2002-11-22
008 1997 bl uuuu m 00u1 u #d
100 1 $aACCIOLY, L. J. de O.
245 $aApplying spectral mixture analysis (SMA) for soil information extraction on the airborne visible/infrared imaging spectrometer (AVIRIS) data.
260 $as.l.: University of Arizona$c1997
300 $a233p.
500 $aPh.D. Thesis.
520 $aThe research objectives of this study were formulated to produce the soil spectral maps using spectral mixture analysis on the AVIRIS data of the Walnut Gulch Experimental Watershed, Tombstone, Arizona. To accomplish this objective the spectral characteristics of eight soils of this Watershed were determined considering the effect of the source of illumination/sensor viewing geometry, degree of wetness (dry vs wet), surface roughness, and the source of the spectra (field, sieved samples and lab) on the selection of image and reference endmembers. The scale effect of the source of spectra was also studied in connection with AVIRIS spectral response. The soils presented anisotropic behavior which varied inversely with the wavelength, and it was reduced under wet conditions. Loss of information occurred when moving from large scale data set (lab, sieved sample, and field spectra) to small scale data (AVIRIS). Cluster analysis and factor analysis were used to extract information about how soil reference endmembers are grouped in relation to viewing angles, degree of wetness and the source of the spectra. Factor analysis was applied to identify the key set of bands that carried most of the information. Soil spectral classes varied as a result of scale effects, soil conditions (wet or dry), and viewing angles. Factor analysis showed that with four unique bands (located at 0.410, 1.310, 0650, and 2.400 um) it was possible to reconstruct the four basic soil spectral curves (Epitaph, Graham, McAllister, and Baboquivar) from the lab data AVIRIS image was modeled using mixture analysis on the basis of image endmembers and reference endmembers. Based on the four dimensions of the AVIRIS data image endmembers were defined by three soil spectra (McAllister, Stronghold-3, and Graham) and by one spectra of green vegetation. The shade fractions were separated from dark soils (Graham and Epitaph) on the basis of the spatial context. The target test identified at least seven reference endmembers in the AVIRIS scene of the Watershed however; mixture analysis failed in obtaining fraction images from these reference endmembers. Mixture analysis was able to produce fraction imagens with a relatively high error for a small set (3) of reference endmembers (McAllister and Graham soils, and walnut leaf). However when applied to a subset of pixed extracted from the AVIRIS image mixture analysis identified the reference endmembers and quantified their proportions.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
05/01/2024 |
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Data da última atualização: |
05/01/2024 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
ROSA, A. A.; ROSA, A. G.; SOARES, J. P. G.; JUNQUEIRA, A. M. R.; MOREIRA, I. S. |
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Afiliação: |
ANDRÉIA ALVES ROSA; ARTUR GUERRA ROSA; JOAO PAULO GUIMARAES SOARES, CPAC; ANA MARIA RESENDE JUNQUEIRA; IVALDO DE SOUSA MOREIRA. |
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Título: |
Qualidade de méis comercializados informalmente em feiras livres no Distrito Federal. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: SANCHES, A. G.; SOUZA, W. J. (org.). Tecnologia e inovação na agricultura: aplicação, produtividade e sustentabilidade em pesquisa. Guarujá: Científica Digital, 2023. |
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Páginas: |
p. 220-226 |
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Idioma: |
Português |
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Conteúdo: |
As fraudes e adulterações no mel são fatores que comprometem a qualidade do produto, além de ser um risco para a saúde do consumidor. Esse artigo teve como objetivo, avaliar a qualidade da produção apícola comercializada em duas feiras permanentes no Distrito Federal, nos meses de agosto e outubro de 2017 e em janeiro e abril de 2018. Métodos: Foram utilizadas as metodologias preconizadas pelo Instituto Adolfo Lutz, para a determinação dos teores de açúcares redutores, sacarose aparente e hidroximetilfurfural, em amostras de méis produzidos por Apis melífera L. e, os resultados das análises foram comparados aos parâmetros preconizados pela legislação brasileira vigente. Resultados: Identificou-se que as amostras dos meses de agosto de 2017 e abril de 2018 apresentaram melhor qualidade, pois apresentaram todos os parâmetros analisados de acordo com a legislação vigente. Conclusão: A partir das análises realizadas, observou-se a grande necessidade de constantes fiscalizações através de análises laboratoriais, a fim de assegurar tanto a qualidade nutricional como a segurança alimentar para os consumidores de tais produtos, uma vez que, no Distrito Federal, ainda há poucos estudos em relação à produção local e, principalmente, dos pequenos apicultores que produzem e comercializam o produto de forma informal. |
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Thesagro: |
Análise Física; Análise Química; Feira; Mel. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160471/1/Joao-Paulo-Qualidade-de-meis.pdf
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Marc: |
LEADER 02131naa a2200229 a 4500
001 2160471
005 2024-01-05
008 2023 bl uuuu u00u1 u #d
100 1 $aROSA, A. A.
245 $aQualidade de méis comercializados informalmente em feiras livres no Distrito Federal.$h[electronic resource]
260 $c2023
300 $ap. 220-226
520 $aAs fraudes e adulterações no mel são fatores que comprometem a qualidade do produto, além de ser um risco para a saúde do consumidor. Esse artigo teve como objetivo, avaliar a qualidade da produção apícola comercializada em duas feiras permanentes no Distrito Federal, nos meses de agosto e outubro de 2017 e em janeiro e abril de 2018. Métodos: Foram utilizadas as metodologias preconizadas pelo Instituto Adolfo Lutz, para a determinação dos teores de açúcares redutores, sacarose aparente e hidroximetilfurfural, em amostras de méis produzidos por Apis melífera L. e, os resultados das análises foram comparados aos parâmetros preconizados pela legislação brasileira vigente. Resultados: Identificou-se que as amostras dos meses de agosto de 2017 e abril de 2018 apresentaram melhor qualidade, pois apresentaram todos os parâmetros analisados de acordo com a legislação vigente. Conclusão: A partir das análises realizadas, observou-se a grande necessidade de constantes fiscalizações através de análises laboratoriais, a fim de assegurar tanto a qualidade nutricional como a segurança alimentar para os consumidores de tais produtos, uma vez que, no Distrito Federal, ainda há poucos estudos em relação à produção local e, principalmente, dos pequenos apicultores que produzem e comercializam o produto de forma informal.
650 $aAnálise Física
650 $aAnálise Química
650 $aFeira
650 $aMel
700 1 $aROSA, A. G.
700 1 $aSOARES, J. P. G.
700 1 $aJUNQUEIRA, A. M. R.
700 1 $aMOREIRA, I. S.
773 $tIn: SANCHES, A. G.; SOUZA, W. J. (org.). Tecnologia e inovação na agricultura: aplicação, produtividade e sustentabilidade em pesquisa. Guarujá: Científica Digital, 2023.
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