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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/03/2008 |
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Data da última atualização: |
16/01/2020 |
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Tipo da produção científica: |
Artigo de Divulgação na Mídia |
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Autoria: |
CESAR, M. A. A.; SILVA, F. C. da. |
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Afiliação: |
MARCO ANTONIO AZEREDO CESAR, Esalq/USP; FABIO CESAR DA SILVA, CNPTIA. |
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Título: |
Pequenas indústrias rurais da cana-de-açúcar: melado, rapadura e açúcar mascavo. |
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Ano de publicação: |
2007 |
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Fonte/Imprenta: |
Boletim Informativo Notesalq, v. 16, p. 16-19, maio/jun. 2007. |
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Idioma: |
Português |
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Conteúdo: |
Cana-de-açúcar com matéria prima. Processamento e produção. Produção de melado. Produção de rapadura. Produção de açúcar mascavo. Produção esperadas. |
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Palavras-Chave: |
Indústria rural. |
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Thesagro: |
Açúcar; Açúcar mascavo; Cana de açúcar; Melado; Rapadura. |
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Thesaurus Nal: |
Brown sugar; Sugarcane. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00803nam a2200217 a 4500
001 1009472
005 2020-01-16
008 2007 bl uuuu u00u1 u #d
100 1 $aCESAR, M. A. A.
245 $aPequenas indústrias rurais da cana-de-açúcar$bmelado, rapadura e açúcar mascavo.$h[electronic resource]
260 $aBoletim Informativo Notesalq, v. 16, p. 16-19, maio/jun. 2007.$c2007
520 $aCana-de-açúcar com matéria prima. Processamento e produção. Produção de melado. Produção de rapadura. Produção de açúcar mascavo. Produção esperadas.
650 $aBrown sugar
650 $aSugarcane
650 $aAçúcar
650 $aAçúcar mascavo
650 $aCana de açúcar
650 $aMelado
650 $aRapadura
653 $aIndústria rural
700 1 $aSILVA, F. C. da
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
05/03/2013 |
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Data da última atualização: |
05/03/2013 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
LOEBMANN, D. G. dos S. W.; VICENTE, L. E.; DE PAULA, S. C.; VICTORIA, D. de C.; ANDRADE, R. G.; SILVA, R. F. B. DA; AGNESE, M. L. |
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Afiliação: |
DANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; LUIZ EDUARDO VICENTE, CNPM; STELLA CARVALHO DE PAULA, BOLSISTA CNPM; DANIEL DE CASTRO VICTORIA, CNPM; RICARDO GUIMARAES ANDRADE, CNPM; RAMON FELIPE BICUDO DA SILVA, UNICAMP; MAURÍCIO LOPES AGNESE, BOLSISTA CNPM. |
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Título: |
Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012. |
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Páginas: |
1 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Remote sensing by spectral imaging of the Earth's surface can be widely used, but only when the atmospheric influence is nullified and the data are reduced to surface reflectance units. The atmospheric correction referred to here is an atmospheric "compensation" or "characterization" in which algorithms are used in remote sensing applications for hyper and multispectral images to correct atmospheric propagation effects in measurements taken by airborne and orbital systems. The remission of atmospheric effects guarantees the identification of biophysical properties of the targets and their isonomic relationship with spectroradiometric databases, thus enabling the application of sophisticated classification methods such as linear Spectral Mixture Analysis models (SMA) and Spectral Indexes. Based on this premise, the objective of this article is to compare the atmospheric correction used in the MODTRAN model with that used in the Dark Object Subtraction (DOS1) and Improved Dark Object Subtraction (DOS2) models in order to verify which approach shows better correspondence with reference spectral libraries. We used spectral data on tropical soils obtained using the spectroradiometer (FieldSpec Full Resolution). Due to the difficulty in obtaining data on atmospheric conditions, especially for tropical regions, and the difficulty in accessing the most reliable correction procedures, corrections are sometimes disregarded or even based on extremely simple methods which may produce radiance and reflectance estimation errors even greater than tho se of the original images. MODTRAN presented the most consistent results, especially with regard to season variation and the presence of haze (low contrast) in some images due to the high aerosol concentration. This kind of atmospheric phenomenon is common in tropical regions, which shows the importance of considering local atmospheric correction parameters based on an atmosphere simulation model. Methods DO S1 and DOS2, in spite of their good performance in some of the analyzed areas, have not been effective in the suppression of effects related to atmospheric absorption. This work is one of the few that considers different test targets in a tropical environment with season variation. MenosRemote sensing by spectral imaging of the Earth's surface can be widely used, but only when the atmospheric influence is nullified and the data are reduced to surface reflectance units. The atmospheric correction referred to here is an atmospheric "compensation" or "characterization" in which algorithms are used in remote sensing applications for hyper and multispectral images to correct atmospheric propagation effects in measurements taken by airborne and orbital systems. The remission of atmospheric effects guarantees the identification of biophysical properties of the targets and their isonomic relationship with spectroradiometric databases, thus enabling the application of sophisticated classification methods such as linear Spectral Mixture Analysis models (SMA) and Spectral Indexes. Based on this premise, the objective of this article is to compare the atmospheric correction used in the MODTRAN model with that used in the Dark Object Subtraction (DOS1) and Improved Dark Object Subtraction (DOS2) models in order to verify which approach shows better correspondence with reference spectral libraries. We used spectral data on tropical soils obtained using the spectroradiometer (FieldSpec Full Resolution). Due to the difficulty in obtaining data on atmospheric conditions, especially for tropical regions, and the difficulty in accessing the most reliable correction procedures, corrections are sometimes disregarded or even based on extremely simple methods which may produce ra... Mostrar Tudo |
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Palavras-Chave: |
Spectral imaging. |
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Thesaurus NAL: |
Remote sensing. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/77978/1/Daniel-Gomes.pdf
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Marc: |
LEADER 02974nam a2200217 a 4500
001 1952219
005 2013-03-05
008 2012 bl uuuu u00u1 u #d
100 1 $aLOEBMANN, D. G. dos S. W.
245 $aComparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction.$h[electronic resource]
260 $aIn: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER$c2012
300 $a1 p.
520 $aRemote sensing by spectral imaging of the Earth's surface can be widely used, but only when the atmospheric influence is nullified and the data are reduced to surface reflectance units. The atmospheric correction referred to here is an atmospheric "compensation" or "characterization" in which algorithms are used in remote sensing applications for hyper and multispectral images to correct atmospheric propagation effects in measurements taken by airborne and orbital systems. The remission of atmospheric effects guarantees the identification of biophysical properties of the targets and their isonomic relationship with spectroradiometric databases, thus enabling the application of sophisticated classification methods such as linear Spectral Mixture Analysis models (SMA) and Spectral Indexes. Based on this premise, the objective of this article is to compare the atmospheric correction used in the MODTRAN model with that used in the Dark Object Subtraction (DOS1) and Improved Dark Object Subtraction (DOS2) models in order to verify which approach shows better correspondence with reference spectral libraries. We used spectral data on tropical soils obtained using the spectroradiometer (FieldSpec Full Resolution). Due to the difficulty in obtaining data on atmospheric conditions, especially for tropical regions, and the difficulty in accessing the most reliable correction procedures, corrections are sometimes disregarded or even based on extremely simple methods which may produce radiance and reflectance estimation errors even greater than tho se of the original images. MODTRAN presented the most consistent results, especially with regard to season variation and the presence of haze (low contrast) in some images due to the high aerosol concentration. This kind of atmospheric phenomenon is common in tropical regions, which shows the importance of considering local atmospheric correction parameters based on an atmosphere simulation model. Methods DO S1 and DOS2, in spite of their good performance in some of the analyzed areas, have not been effective in the suppression of effects related to atmospheric absorption. This work is one of the few that considers different test targets in a tropical environment with season variation.
650 $aRemote sensing
653 $aSpectral imaging
700 1 $aVICENTE, L. E.
700 1 $aDE PAULA, S. C.
700 1 $aVICTORIA, D. de C.
700 1 $aANDRADE, R. G.
700 1 $aSILVA, R. F. B. DA
700 1 $aAGNESE, M. L.
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