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Registro Completo |
Biblioteca(s): |
Embrapa Clima Temperado. |
Data corrente: |
01/12/2016 |
Data da última atualização: |
09/03/2017 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
ROSA, P. P. da; ZANELA, M. B.; RIBEIRO, M. E. R.; WEISSHEIMER, C. F.; OLIVEIRA, J. F. de; ANGELO, I. D. V. |
Afiliação: |
Patrícia Pinto da Rosa; MAIRA BALBINOTTI ZANELA, CPACT; MARIA EDI ROCHA RIBEIRO, CPACT; CHRISTIANO FANCK WEISSHEIMER, CPACT; JOSE FAUSTINI DE OLIVEIRA, CPACT; Isabelle D. Veber Angelo. |
Título: |
Qualidade do leite de vacas primíparas e multíparas de um rebanho Jersey no Sul do Rio Grande do Sul. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 26., 2016, Santa Maria. Cinquenta anos de zootecnia no Brasil: anais. Santa Maria: Sociedade Brasileira de Zootecnia, 2016. |
Idioma: |
Português |
Palavras-Chave: |
Composição do leite; Número de partos; Produção de leite; Teor de sólidos no leite. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/150968/1/Zanela-Rosa-2016-Primiparas-e-Multiparas.pdf
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Marc: |
LEADER 00791nam a2200205 a 4500 001 2057645 005 2017-03-09 008 2016 bl uuuu u00u1 u #d 100 1 $aROSA, P. P. da 245 $aQualidade do leite de vacas primíparas e multíparas de um rebanho Jersey no Sul do Rio Grande do Sul.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE ZOOTECNIA, 26., 2016, Santa Maria. Cinquenta anos de zootecnia no Brasil: anais. Santa Maria: Sociedade Brasileira de Zootecnia$c2016 653 $aComposição do leite 653 $aNúmero de partos 653 $aProdução de leite 653 $aTeor de sólidos no leite 700 1 $aZANELA, M. B. 700 1 $aRIBEIRO, M. E. R. 700 1 $aWEISSHEIMER, C. F. 700 1 $aOLIVEIRA, J. F. de 700 1 $aANGELO, I. D. V.
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Embrapa Clima Temperado (CPACT) |
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![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
17/07/2014 |
Data da última atualização: |
11/02/2015 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
EVANS, T. L.; COSTA, M.; TOMAS, W. M.; CAMILO, A. R. |
Afiliação: |
University of Victoria; University of Victoria; WALFRIDO MORAES TOMAS, CPAP. |
Título: |
Large-scale habitat mapping of the Brazilian Pantanal wetland: A synthetic aperture radar approach. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Remote Sensing of Environment, v. 155, p. 89-108, 2014. |
ISSN: |
0034-4257 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
ALOS/PALSAR; ENVISAT/ASAR; Habitat mapping; K&C Initiative; RADARSAT-2. |
Thesaurus NAL: |
Pantanal; wetlands. |
Categoria do assunto: |
-- |
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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