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| 41. |  | ABREU, V. M. N.; ABREU, P. G. de; JAENISCH, F. R. F.; COLDEBELLA, A.; PAIVA, D. P. de. Effect of floor type (dirt or concrete) on litter quality, house environmental conditions, and performance of broilers.. Revista Brasileira de Ciência Avícola, Campinas, v. 13, n. 2, p. 127-137, 2011. Projeto: 03.05.01.021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 42. | | ABREU, V. M. N.; ABREU, P. G. de; COLDEBELLA, A.; PAIVA, D. P. de; PRÁ, M. C. de. Effects of curtain color and lighting program on the thermal comfort of broilers. In: INTERNATIONAL CONFERENCE OF AGRICULTURAL ENGINEERING; BRAZILIAN CONGRESS OF AGRICULTURAL ENGINEERING, 37.; INTERNATIONAL LIVESTOCK ENVIRONMENT SYMPOSIUM - ILES, 8., 2008, Iguassu Falls City. Technology for all: sharing the knowledge for development - proceedings. [Foz do Iguassu]: CIGR: SBEA: ASABE: TECNALLER, 2008. Não paginado. Projeto/Plano de Ação: 03.07.52.000-02.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 43. | | MORES, N. BARIONI JUNIOR, W. SOBESTIANSKY, J. DALLA COSTA, O. A. PIFFER, I. A. PAIVA, D. P. de, GUZZO, R. COIMBRA, J. B. S. Estimativa dos índices de pneumonia (IP) e de Rinite Atrófica (IRA), através dos exames clínicos de tosse e espirro, respectivamente. (Estimates of pneumonia (IP) and atrophic rhinitis (IRA) index by coughing and sneezing count, respectively). Arq. Bras. Med. Vet. e Zootec., 2000. Parceria: UFG / EMATER-RS.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 44. | | SILVA, V. S.; AMARAL, A. L. do; KRAMER, B.; D'AVILA, A.; ESTEVES, P. A.; SCHAEFER, R.; HIGARASHI, M. M.; PAIVA, D. P. de; MATTEI, R. M.; KUNZ, A.; OLIVEIRA, P. A. V. de; MINOSO, M.; COLDEBELLA, A. Estudo da sobrevivência de MAC em camas de maravalha e casca de arroz experimentalmente contaminadas, ao longo da passagem de quatro lotes consecutivos de suínos. In: COLDEBELLA, A.; SCHEUERMANN, G.N. (Ed.). Relatório dos projetos concluídos 2010. Concórdia: Embrapa Suínos e Aves, 2011. (Embrapa Suínos e Aves. Documentos, 144). p. 93-99. Projeto: 03.04.03.051.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 45. | | ABREU, V. M. N.; PAIVA, D. P. de; ABREU, P. G. de; COLDEBELLA, A. Evaluation of litter material and ventilation systems in poultry production: III. litter reuse, darkling beetle populations and intestinal parasites. Revista Brasileira de Zootecnia, Viçosa, v. 40, n. 6, p. 1372-1380, 2011. Projeto: 03.05.01.021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 46. | | ABREU, P. G. de; ABREU, V. M. N.; COLDEBELLA, A.; JAENISCH, F. R. F.; PAIVA, D. P. de. Evaluation of litter material and ventilation systems on poultry production: II. thermal comfort. Revista Brasileira de Zootecnia, Viçosa, v. 40, n. 6, p. 1356-1363, 2011. pROJETO: 03.05.01.021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 47. | | DALLA COSTA, O. A.; MORES, N.; SOBESTIANSKY, J.; BARIONI JUNIOR, W.; PIFFER, I. A.; PAIVA, D. P. de; AMARAL, A. L. do; GUZZO, R.; LIMA, G. J. M. M. de; PERDOMO, C. C. Fatores de risco associados à rinite atrófica progressiva e a pneumonias crônicas nas fases de crescimento e terminação. Concórdia: Embrapa Suínos e Aves, 2000. 5 p. (Embrapa Suínos e Aves. Comunicado Técnico, 267)| Biblioteca(s): Embrapa Suínos e Aves. |
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| 48. | | MORES, N.; SOBESTIANSKY, J.; BARIONI JUNIOR, W.; MADEC, F.; DALLA COSTA, O. A.; PAIVA, D. P. de; LIMA, G. J. M. M. de; AMARAL, A. L. do; PERDOMO, C. C.; COIMBRA, J. B. S. Fatores de risco associados aos problemas dos leitoes na fase de creche em rebanhos da Regiao Sul do Brasil. In: CONGRESSO BRASILEIRO DE VETERINARIOS ESPECIALISTAS EM SUINOS, 9., 1999, Belo Horizonte, MG. Anais... Concórdia : Embrapa Suínos e Aves, 1999. p.193-194| Biblioteca(s): Embrapa Suínos e Aves. |
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| 49. | | MORES, N.; SOBESTIANSKY, J.; BARIONI JUNIOR, W.; MADEC, F.; DALLA COSTA, O. A.; PAIVA, D. P. de; LIMA, G. J. M. M. de; AMARAL, A. L. do; PERDOMO, C. C.; COIMBRA, J. B. S. Fatores de risco associados aos problemas dos leitoes na fase de creche em rebanhos da Regiao Sul do Brasil. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v.52, n.3, p.191-199, 2000.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 50. | | MORES, N.; SOBESTIANSKY, J.; COSTA, O. A. D.; BARIONI JUNIOR, W.; PAIVA, D. P. de; LIMA, G. J. M. M. de; PERDOMO, C. C.; AMARAL, A. L. do; COIMBRA, J. B. S. Fatores de risco associados aos problemas dos leitões no período pós-desmame. Concórdia: Embrapa Suínos e Aves, 1998. 4 p. (Embrapa Suínos e Aves. Comunicado técnico, 226).| Biblioteca(s): Embrapa Unidades Centrais. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
17/07/2014 |
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Data da última atualização: |
11/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
EVANS, T. L.; COSTA, M.; TOMAS, W. M.; CAMILO, A. R. |
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Afiliação: |
University of Victoria; University of Victoria; WALFRIDO MORAES TOMAS, CPAP. |
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Título: |
Large-scale habitat mapping of the Brazilian Pantanal wetland: A synthetic aperture radar approach. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Remote Sensing of Environment, v. 155, p. 89-108, 2014. |
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ISSN: |
0034-4257 |
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Idioma: |
Inglês |
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Conteúdo: |
This study uses 50 m spatial resolution, dual-season, HH and HV L-band ALOS/PALSAR, and HH and HV C-band RADARSAT-2 data, as well as a comprehensive set of ground reference points, to map the diverse habitats of the hydrologically variant subregions of the Pantanal by using a hierarchical object based image analysis approach. First, mean and standard deviation values of image object training sites were evaluated, and used as the basis for forming preliminary land cover class thresholds for each subregion. Then, acombination of additional refined thresholds, hierarchical rules, and a supervised nearest neighbor algorithm (eCognition Feature Space Optimization) employing several features as primary inputs (mean, standard deviation, seasonal change detection, brightness, maximum difference, area, roundness, brightness, compactness, shape index, and length/ width)wasutilized,resultinginthede finitionandclassificationoftenhabitatclasses:Forest/Woodland,Riparian Forest, Open Wood Savanna, Open Wood Savanna subject to prolonged flooding, Open Grass Savanna, Agriculture, Swampy Grassland, Swampy Mixed Savanna, Vazantes, and Water. This classification was achieved with an overall accuracy of 80% for the entire Pantanal. The produced habitat spatial distribution maps will provide vital information for determining refuge zones for terrestrial species, and connectivity of aquatic habitats during the dry season, as well as providing crucial baseline data to aid in monitoring changes in the region, and to help de fine conservation strategies for habitat in this wetland. MenosThis study uses 50 m spatial resolution, dual-season, HH and HV L-band ALOS/PALSAR, and HH and HV C-band RADARSAT-2 data, as well as a comprehensive set of ground reference points, to map the diverse habitats of the hydrologically variant subregions of the Pantanal by using a hierarchical object based image analysis approach. First, mean and standard deviation values of image object training sites were evaluated, and used as the basis for forming preliminary land cover class thresholds for each subregion. Then, acombination of additional refined thresholds, hierarchical rules, and a supervised nearest neighbor algorithm (eCognition Feature Space Optimization) employing several features as primary inputs (mean, standard deviation, seasonal change detection, brightness, maximum difference, area, roundness, brightness, compactness, shape index, and length/ width)wasutilized,resultinginthede finitionandclassificationoftenhabitatclasses:Forest/Woodland,Riparian Forest, Open Wood Savanna, Open Wood Savanna subject to prolonged flooding, Open Grass Savanna, Agriculture, Swampy Grassland, Swampy Mixed Savanna, Vazantes, and Water. This classification was achieved with an overall accuracy of 80% for the entire Pantanal. The produced habitat spatial distribution maps will provide vital information for determining refuge zones for terrestrial species, and connectivity of aquatic habitats during the dry season, as well as providing crucial baseline data to aid in monitoring changes in t... Mostrar Tudo |
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Palavras-Chave: |
ALOS/PALSAR; ENVISAT/ASAR; Habitat mapping; K&C Initiative; RADARSAT-2. |
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Thesaurus NAL: |
Pantanal; wetlands. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02267naa a2200253 a 4500
001 1990916
005 2015-02-11
008 2014 bl uuuu u00u1 u #d
022 $a0034-4257
100 1 $aEVANS, T. L.
245 $aLarge-scale habitat mapping of the Brazilian Pantanal wetland$bA synthetic aperture radar approach.
260 $c2014
520 $aThis study uses 50 m spatial resolution, dual-season, HH and HV L-band ALOS/PALSAR, and HH and HV C-band RADARSAT-2 data, as well as a comprehensive set of ground reference points, to map the diverse habitats of the hydrologically variant subregions of the Pantanal by using a hierarchical object based image analysis approach. First, mean and standard deviation values of image object training sites were evaluated, and used as the basis for forming preliminary land cover class thresholds for each subregion. Then, acombination of additional refined thresholds, hierarchical rules, and a supervised nearest neighbor algorithm (eCognition Feature Space Optimization) employing several features as primary inputs (mean, standard deviation, seasonal change detection, brightness, maximum difference, area, roundness, brightness, compactness, shape index, and length/ width)wasutilized,resultinginthede finitionandclassificationoftenhabitatclasses:Forest/Woodland,Riparian Forest, Open Wood Savanna, Open Wood Savanna subject to prolonged flooding, Open Grass Savanna, Agriculture, Swampy Grassland, Swampy Mixed Savanna, Vazantes, and Water. This classification was achieved with an overall accuracy of 80% for the entire Pantanal. The produced habitat spatial distribution maps will provide vital information for determining refuge zones for terrestrial species, and connectivity of aquatic habitats during the dry season, as well as providing crucial baseline data to aid in monitoring changes in the region, and to help de fine conservation strategies for habitat in this wetland.
650 $aPantanal
650 $awetlands
653 $aALOS/PALSAR
653 $aENVISAT/ASAR
653 $aHabitat mapping
653 $aK&C Initiative
653 $aRADARSAT-2
700 1 $aCOSTA, M.
700 1 $aTOMAS, W. M.
700 1 $aCAMILO, A. R.
773 $tRemote Sensing of Environment$gv. 155, p. 89-108, 2014.
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