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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
22/11/2006 |
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Data da última atualização: |
16/03/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
LOEBMANN, D. G. dos S. W.; SILVA, R. F. B. DA; VICENTE, L. E.; VICTORIA, D. de C. |
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Afiliação: |
DANIEL GOMES DOS SANTOS W LOEBMANN, CNPM; RAMON FELIPE BICUDO DA SILVA, UNICAMP; LUIZ EDUARDO VICENTE, CNPM; DANIEL DE CASTRO VICTORIA, CNPM. |
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Título: |
Atmospheric correction of GeoEye-1 images using MODIS-based parameters. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. |
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Páginas: |
p. 7270-7278. |
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Idioma: |
Inglês |
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Conteúdo: |
Atmospheric correction is a very important task that allows comparisons between image-based biophysical estimates and existing spectral libraries. Atmospheric correction methods based on radiative transfer provide good results as they account for scattering and absorption components effects of atmosphere over electromagnetic radiation, but the lack of ground-daily information of atmospheric parameters for radiative transfer-based models limits these methods operation. Our objective was to perform atmospheric correction of GeoEye-1 images using MODIS-based parameters as input data for the Moderate-Resolution Atmospheric Radiative Transfer Model (MODTRAN) code. That was achieved using aerosol optical thickness, Ångström exponent, and water column data extractd from MODIS Aqua data in order to obtain visibility, aerosol scale height, and atmospheric model to be used in MODTRAN. The results were analyzed from a set of pixels arranged in six land cover classes that were compared to the spectral libraries USGS and NASA/JPL, available online. Land cover classes of pasture, urban areas, forest, dark soil, medium soil, and light soil presents satisfactory combinations by the Spectral Angle Mapper method, used to compare spectra from the GeoEye-1 images and spectral libraries. We conclude that the methodological approach presented is a promising standard of methods based on the retrieving of atmospheric information to perform radiometric corrections. |
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Palavras-Chave: |
Altura de escala do aerossol; Transfrência radiativa; Visibilidade. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/123814/1/1923.pdf
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Marc: |
LEADER 02137nam a2200193 a 4500
001 1017580
005 2016-03-16
008 2015 bl uuuu u00u1 u #d
100 1 $aLOEBMANN, D. G. dos S. W.
245 $aAtmospheric correction of GeoEye-1 images using MODIS-based parameters.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE$c2015
300 $ap. 7270-7278.
520 $aAtmospheric correction is a very important task that allows comparisons between image-based biophysical estimates and existing spectral libraries. Atmospheric correction methods based on radiative transfer provide good results as they account for scattering and absorption components effects of atmosphere over electromagnetic radiation, but the lack of ground-daily information of atmospheric parameters for radiative transfer-based models limits these methods operation. Our objective was to perform atmospheric correction of GeoEye-1 images using MODIS-based parameters as input data for the Moderate-Resolution Atmospheric Radiative Transfer Model (MODTRAN) code. That was achieved using aerosol optical thickness, Ångström exponent, and water column data extractd from MODIS Aqua data in order to obtain visibility, aerosol scale height, and atmospheric model to be used in MODTRAN. The results were analyzed from a set of pixels arranged in six land cover classes that were compared to the spectral libraries USGS and NASA/JPL, available online. Land cover classes of pasture, urban areas, forest, dark soil, medium soil, and light soil presents satisfactory combinations by the Spectral Angle Mapper method, used to compare spectra from the GeoEye-1 images and spectral libraries. We conclude that the methodological approach presented is a promising standard of methods based on the retrieving of atmospheric information to perform radiometric corrections.
653 $aAltura de escala do aerossol
653 $aTransfrência radiativa
653 $aVisibilidade
700 1 $aSILVA, R. F. B. DA
700 1 $aVICENTE, L. E.
700 1 $aVICTORIA, D. de C.
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Registro original: |
Embrapa Territorial (CNPM) |
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Origem |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
31/10/2017 |
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Data da última atualização: |
15/07/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SILVA, V. S.; LOPES, K. G. S.; BERTANI, G. R.; OLIVEIRA FILHO, E. F. de; TREVISOL, I. M.; KRAMER, B.; COLDEBELLA, A.; GIL, L. H. V. G. |
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Afiliação: |
VIRGINIA SANTIAGO SILVA, CNPSA; KENNYA G. S. LOPES, FIOCRUZ; GIOVANI R. BERTANI, UFPE; EDMILSON F. DE OLIVEIRA FILHO, FIOCRUZ; IARA MARIA TREVISOL, CNPSA; BEATRIS KRAMER, CNPSA; ARLEI COLDEBELLA, CNPSA; LAURA HELENA GONZALES GIL, FIOCRUZ. |
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Título: |
Seroprevalence of hepatitis e virus (HEV) in domestic non-commercial pigs reared in small-scale farms and wild boar in south of Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: INTERNATIONAL SYMPOSIUM ON THE EPIDEMIOLOGY AND CONTROL OF BIOLOGICAL, CHEMICAL AND PHYSICAL HAZARDS IN PIG AND PORK, 12., 2017, Foz do Iguaçu. Proceedings Book. Concórdia: Embrapa Suínos e Aves, 2017. p. 72-75. |
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Idioma: |
Inglês |
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Notas: |
SafePork 2017. |
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Conteúdo: |
Abstract Hepatitis E is a zoonotic emerging disease distributed worldwide. The domestic swine and wild boars (Sus scrofa) are known as important reservoirs of HEV although HEV infections have been detected in other animal species. The southern region of Brazil has the largest swine productions in the country, ranging from highly-specialized commercial swine productions to small-scale non-commercial pig farms. The smallscale farms allow interactions between wild boars and domestic pigs, when occasionally pathogens transmission can occur between these populations. The aim of this study was to determine HEV seroprevalence in non-commercial domestic pigs and wild boars from two southern Brazilian states (RS: Rio Grande do Sul; SC: Santa Catarina), and discuss if the consumption of raw or undercooked meat from these animals is a potential risk to public health. Animals from RS and SC States were sampled. Serum was harvested from wild boar hunted between 2012 and 2016, and from non-commercial small-scale pig farms in 2014. Overall 249 wild boars (56 from RS and 193 from SC) and 382 pigs (261 from RS and 121 from SC) were tested to detect anti-HEV IgG antibodies using a commercial HEV antibody ELISA kit (Thermo fisher), specific for swine. Overall difference was observed (P<0.0001) regarding HEV seroprevalence between wild boar 4.42% (n=249) and non-commercial domestic pigs 46.60% (n=382). In relation to wild boars samples, higher seroprevalence for Hepatitis E was observed in RS (14.29%; n=56) and lower in SC (1.55%; n=193; P<0.0004). In relation to pigs, RS had also higher seroprevalence (53.26%; n=261) than SC (32.23%; n=121; P<0.0002). Although interactions between wild boar and non-commercial domestic pigs are known to occur, the lowest antibody detection in wild boar suggest that these contact may not be sufficient to explain seroprevalence in studied populations. Our results indicate that non-commercial pigs are a more likely source of infection for the human population than wild boar. MenosAbstract Hepatitis E is a zoonotic emerging disease distributed worldwide. The domestic swine and wild boars (Sus scrofa) are known as important reservoirs of HEV although HEV infections have been detected in other animal species. The southern region of Brazil has the largest swine productions in the country, ranging from highly-specialized commercial swine productions to small-scale non-commercial pig farms. The smallscale farms allow interactions between wild boars and domestic pigs, when occasionally pathogens transmission can occur between these populations. The aim of this study was to determine HEV seroprevalence in non-commercial domestic pigs and wild boars from two southern Brazilian states (RS: Rio Grande do Sul; SC: Santa Catarina), and discuss if the consumption of raw or undercooked meat from these animals is a potential risk to public health. Animals from RS and SC States were sampled. Serum was harvested from wild boar hunted between 2012 and 2016, and from non-commercial small-scale pig farms in 2014. Overall 249 wild boars (56 from RS and 193 from SC) and 382 pigs (261 from RS and 121 from SC) were tested to detect anti-HEV IgG antibodies using a commercial HEV antibody ELISA kit (Thermo fisher), specific for swine. Overall difference was observed (P<0.0001) regarding HEV seroprevalence between wild boar 4.42% (n=249) and non-commercial domestic pigs 46.60% (n=382). In relation to wild boars samples, higher seroprevalence for Hepatitis E was observed in RS (... Mostrar Tudo |
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Palavras-Chave: |
HEV; Safe pork. |
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Thesagro: |
Encefalomielite; Javali; Sanidade animal; Segurança alimentar; Suíno. |
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Thesaurus NAL: |
Porcine hemagglutinating encephalomyelitis virus. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/165863/1/final8557.pdf
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Marc: |
LEADER 03126nam a2200301 a 4500
001 2078537
005 2019-07-15
008 2017 bl uuuu u00u1 u #d
100 1 $aSILVA, V. S.
245 $aSeroprevalence of hepatitis e virus (HEV) in domestic non-commercial pigs reared in small-scale farms and wild boar in south of Brazil.$h[electronic resource]
260 $aIn: INTERNATIONAL SYMPOSIUM ON THE EPIDEMIOLOGY AND CONTROL OF BIOLOGICAL, CHEMICAL AND PHYSICAL HAZARDS IN PIG AND PORK, 12., 2017, Foz do Iguaçu. Proceedings Book. Concórdia: Embrapa Suínos e Aves, 2017. p. 72-75.$c2017
500 $aSafePork 2017.
520 $aAbstract Hepatitis E is a zoonotic emerging disease distributed worldwide. The domestic swine and wild boars (Sus scrofa) are known as important reservoirs of HEV although HEV infections have been detected in other animal species. The southern region of Brazil has the largest swine productions in the country, ranging from highly-specialized commercial swine productions to small-scale non-commercial pig farms. The smallscale farms allow interactions between wild boars and domestic pigs, when occasionally pathogens transmission can occur between these populations. The aim of this study was to determine HEV seroprevalence in non-commercial domestic pigs and wild boars from two southern Brazilian states (RS: Rio Grande do Sul; SC: Santa Catarina), and discuss if the consumption of raw or undercooked meat from these animals is a potential risk to public health. Animals from RS and SC States were sampled. Serum was harvested from wild boar hunted between 2012 and 2016, and from non-commercial small-scale pig farms in 2014. Overall 249 wild boars (56 from RS and 193 from SC) and 382 pigs (261 from RS and 121 from SC) were tested to detect anti-HEV IgG antibodies using a commercial HEV antibody ELISA kit (Thermo fisher), specific for swine. Overall difference was observed (P<0.0001) regarding HEV seroprevalence between wild boar 4.42% (n=249) and non-commercial domestic pigs 46.60% (n=382). In relation to wild boars samples, higher seroprevalence for Hepatitis E was observed in RS (14.29%; n=56) and lower in SC (1.55%; n=193; P<0.0004). In relation to pigs, RS had also higher seroprevalence (53.26%; n=261) than SC (32.23%; n=121; P<0.0002). Although interactions between wild boar and non-commercial domestic pigs are known to occur, the lowest antibody detection in wild boar suggest that these contact may not be sufficient to explain seroprevalence in studied populations. Our results indicate that non-commercial pigs are a more likely source of infection for the human population than wild boar.
650 $aPorcine hemagglutinating encephalomyelitis virus
650 $aEncefalomielite
650 $aJavali
650 $aSanidade animal
650 $aSegurança alimentar
650 $aSuíno
653 $aHEV
653 $aSafe pork
700 1 $aLOPES, K. G. S.
700 1 $aBERTANI, G. R.
700 1 $aOLIVEIRA FILHO, E. F. de
700 1 $aTREVISOL, I. M.
700 1 $aKRAMER, B.
700 1 $aCOLDEBELLA, A.
700 1 $aGIL, L. H. V. G.
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