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164. | | SILVA, R. F. da; SILVA, M. F. F. da; FERREIRA, M. do S. G. Avaliação dos tratamentos silviculturais (TS) e parcelas permanentes de monitoramento (PPM) das unidades experimentais de manejo de florestas secundárias no Nordeste paraense. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA FCAP, 12.; SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AMAZÔNIA ORIENTAL, 6., 2002, Belém, PA. A contribuição do profissional de Ciências Agrárias no uso e conservação da biodiversidade: anais. Belém, PA: FCAP: Embrapa Amazônia Oriental, 2002. Biblioteca(s): Embrapa Amazônia Oriental. |
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165. | | MATTIETTO, R. A.; MATTA, V. M.; TSUKUI, A.; CORDEIRO, B. S.; SILVA, R. F. da. Avaliação de perdas de antocianinas totais ao longo da linha de processamento de polpa de açaí pasteurizada e congelada. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS, 8., 2009, Campinas. Ciência de alimentos no mundo globalizado: novos desafios, novas perspectivas. Campinas: Unicamp, 2009. 1 CD-ROM. Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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166. | | MATTIETTO, R. A.; MATTA, V. M.; TSUKUI, A.; CORDEIRO, B. S.; SILVA, R. F. da. Avaliação de perdas de antocianinas totais ao longo da linha de processamento de polpa de açaí pasteurizada e congelada. In: SIMPÓSIO LATINO AMERICANO DE CIÊNCIA DE ALIMENTOS, 8., 2009, Campinas. Ciência de alimentos no mundo globalizado: novos desafios, novas perspectivas. Campinas: Unicamp, 2009. 1 CD-ROM. Biblioteca(s): Embrapa Amazônia Oriental. |
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168. | | SOUZA, P. R. de; ANTONIO, L.; SILVA, R. F. da; MERCANTE, F. M. Biomassa microbiana do solo em cultivos de adubos verdes, em comunidades indígenas Terena de Mato Grosso do Sul. In: SEMINÁRIO DE AGROECOLOGIA DE MATO GROSSO DO SUL, 3.; ENCONTRO DE PRODUTORES AGROECOLÓGICOS DE MS, 2., 2010, Corumbá. Construindo um futuro sustentável e solidário: anais. Dourados: Embrapa Agropecuária Oeste; Corumbá: Embrapa Pantanal; Campo Grande: Embrapa Gado de Corte, 2010. Editado por: Milton Parron Padovan, Ivo de Sá Motta, Hamilton Kikuti, Aurélio V. Borsato, Rogério Ferreira da Silva, Adalgiza Inês Campolim, Alzira Salet Menegat, Alberto Faiden. 1 CD-ROM. Biblioteca(s): Embrapa Agropecuária Oeste. |
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169. | | BORGES, C. D.; SILVA, R. F. da; KAWSKI, N. L.; SANTOS, G.; MERCANTE, F. M. Biomassa microbiana e sua atividade como bioindicadores para avaliação da qualidade do solo sob diferentes manejos, no município de Dourados, MS. In: ENCONTRO DE BIOLÓGIS DO CRBIO-01 (SP-MT-MS), 18., 2007. Cuiabá: Universidade Federal de Mato Grosso, Instituto de Biociências, 2007. 159-160 Biblioteca(s): Embrapa Agropecuária Oeste. |
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174. | | PORTILHO, I. I. R.; DIAS, A. M.; SILVA, R. F. da; MERCANTE, F. M. Comunidade de formigas (Hymenoptera: Formicidae) em sistemas de café orgânico no Município de Glória de Dourados, Mato Grosso do Sul. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA, 17., 2008, Rio de Janeiro. Manejo e conservação do solo e da água no contexto das mudanças ambientais. Rio de Janeiro: SBCS: Embrapa Solos: Embrapa Agrobiologia, 2008. (Embrapa Solos. Documentos, 101). 1 CD-ROM. Biblioteca(s): Embrapa Agropecuária Oeste. |
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179. | | ANDREAZZA, R.; ANTONIOLLI, Z. I.; LEAL, L. T.; MORO JUNIOR, C.; SILVA, R. F. da. Ectomicorrizas em grápia (Apuleia leiocarpa (Vogel) J.F. Macbride) e canafístula (Peltophorum dubiam (Sprengel) Taubert) in vitro. Ciência Florestal, Santa Maria, v. 21, n. 4, p. 727-734, out./dez. 2011. Biblioteca(s): Embrapa Florestas. |
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Registros recuperados : 389 | |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
05/03/2013 |
Data da última atualização: |
05/03/2013 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
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. |
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. |
Título: |
Comparative assessment of atmospheric correction of Landsat imagery using Modtran and dark object subtraction. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
In: SYMPOSIUM SELPER, 15., 2012, Cayenne, French Guiana. Abstracts... Cayenne: SELPER, 2012. |
Páginas: |
1 p. |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Spectral imaging. |
Thesaurus NAL: |
Remote sensing. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/77978/1/Daniel-Gomes.pdf
|
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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