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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
29/03/2012 |
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Data da última atualização: |
18/09/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GUEDES, E.; AZEVEDO, A. L. S.; GASPARINI, C.; REIS, D. R. de L.; PRATA, M. C. de A.; FURLONG, J.; VERNEQUE, R. da S.; ANDRADE, L. G. DE; ARBEX, W. A.; SILVA, M. V. G. B.; MACHADO, M. A. |
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Afiliação: |
ELIZANGELA GUEDES, UFJF; ANA LUISA SOUSA AZEVEDO, CNPGL; CARLA GASPARINI, UFJF; DANIELE RIBEIRO DE LIMA REIS, CNPGL; MARCIA CRISTINA DE AZEVEDO PRATA, CNPGL; JOHN FURLONG, CNPGL; RUI DA SILVA VERNEQUE, CNPGL; LEONARDO GERHEIM DE ANDRADE, UFJF; WAGNER ANTONIO ARBEX, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; MARCO ANTONIO MACHADO, CNPGL. |
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Título: |
A partial genome scan study to identify loci for tick resistance in cattle. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Ticks and tick-borne pathogens International Conference, 2011, Zaragoza. Proceedings... |
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Páginas: |
p. 148 |
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Idioma: |
Português |
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Palavras-Chave: |
GWAS; SNP. |
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Thesaurus Nal: |
dairy cattle; ticks. |
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Categoria do assunto: |
H Saúde e Patologia |
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Marc: |
LEADER 00791nam a2200277 a 4500
001 1920915
005 2023-09-18
008 2011 bl uuuu u00u1 u #d
100 1 $aGUEDES, E.
245 $aA partial genome scan study to identify loci for tick resistance in cattle.
260 $aTicks and tick-borne pathogens International Conference, 2011, Zaragoza. Proceedings...$c2011
300 $ap. 148
650 $adairy cattle
650 $aticks
653 $aGWAS
653 $aSNP
700 1 $aAZEVEDO, A. L. S.
700 1 $aGASPARINI, C.
700 1 $aREIS, D. R. de L.
700 1 $aPRATA, M. C. de A.
700 1 $aFURLONG, J.
700 1 $aVERNEQUE, R. da S.
700 1 $aANDRADE, L. G. DE
700 1 $aARBEX, W. A.
700 1 $aSILVA, M. V. G. B.
700 1 $aMACHADO, M. A.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
16/04/2024 |
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Data da última atualização: |
16/04/2024 |
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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: |
BUSSINGUER, J. DE F.; BAPTISTA, G. M. DE M.; SANO, E. E.; LEAL, F. A. |
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Afiliação: |
JALES DE FREITAS BUSSINGUER, UNIVERSIDADE DE BRASÍLIA; GUSTAVO MACEDO DE MELLO BAPTISTA, UNIVERSIDADE DE BRASÍLIA; EDSON EYJI SANO, CPAC; FABRÍCIO ASSIS LEAL, UNIVERSIDADE FEDERAL DO ACRE. |
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Título: |
Understanding the Spatio-Temporal Behavior of Sentinel-1 SAR Vegetation Indices Over the Brazilian Savanna. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
IEEE Transactions on Geoscience and Remote Sensing, v. 62, 2024. |
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ISSN: |
1558-0644 |
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Idioma: |
Inglês |
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Conteúdo: |
The behavior of five synthetic aperture radar (SAR) vegetation indices, namely, the dual-pol radar vegetation index (DpRVI), radar vegetation index (RVI) dual-pol, polarimetric RVI (PRVI), dual-pol SAR vegetation index (DPSVI), and modified DPSVI (DPSVIm) was investigated. The indices were derived from Sentinel-1 data between 2017 and 2021 for three vegetation classes (Forest, Savanna, and Grassland) in the Brasilia National Park (BNP), Brazil. Temporal profile analysis showed that all indices followed a seasonal pattern directly linked with the rainfall regime in the study site. DpRVI and RVI were related to the rate of radar signal variation over the vegetation as a function of seasonality. PRVI, DPSVI, and DPSVIm were directly related to the classes’ biomass levels and its seasonal variations over time. Precipitation and seasonal vegetation structure changes were relevant drivers of the shift and spread of the indices’ spatial distributions over time. A phenomenon called the index equalization effect was observed mainly on rainy dates, shifting and spreading the classes’ distributions to the same value ranges and degrading its separability. From a populational perspective, all indices presented associative intersections between all vegetation classes, despite the influence of seasonality. From a local perspective, DpRVI and RVI had disjoint intersections; PRVI maintained the associative relationships; and DPSVI and DPSVIm provided almost a complete separation between Forest and Grassland in all seasons. In both perspectives, DPSVIm outperformed the other indices in separating the classes by presenting the less than 72.15% average overlaps between all populational distributions and the highest H0 rejection rates, above 97% over time. MenosThe behavior of five synthetic aperture radar (SAR) vegetation indices, namely, the dual-pol radar vegetation index (DpRVI), radar vegetation index (RVI) dual-pol, polarimetric RVI (PRVI), dual-pol SAR vegetation index (DPSVI), and modified DPSVI (DPSVIm) was investigated. The indices were derived from Sentinel-1 data between 2017 and 2021 for three vegetation classes (Forest, Savanna, and Grassland) in the Brasilia National Park (BNP), Brazil. Temporal profile analysis showed that all indices followed a seasonal pattern directly linked with the rainfall regime in the study site. DpRVI and RVI were related to the rate of radar signal variation over the vegetation as a function of seasonality. PRVI, DPSVI, and DPSVIm were directly related to the classes’ biomass levels and its seasonal variations over time. Precipitation and seasonal vegetation structure changes were relevant drivers of the shift and spread of the indices’ spatial distributions over time. A phenomenon called the index equalization effect was observed mainly on rainy dates, shifting and spreading the classes’ distributions to the same value ranges and degrading its separability. From a populational perspective, all indices presented associative intersections between all vegetation classes, despite the influence of seasonality. From a local perspective, DpRVI and RVI had disjoint intersections; PRVI maintained the associative relationships; and DPSVI and DPSVIm provided almost a complete separation between Fore... Mostrar Tudo |
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Palavras-Chave: |
Parque Nacional de Brasília; Radar de abertura sintética. |
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Thesagro: |
Radar; Vegetação. |
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Thesaurus NAL: |
Synthetic aperture radar; Vegetation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02524naa a2200241 a 4500
001 2163648
005 2024-04-16
008 2024 bl uuuu u00u1 u #d
022 $a1558-0644
100 1 $aBUSSINGUER, J. DE F.
245 $aUnderstanding the Spatio-Temporal Behavior of Sentinel-1 SAR Vegetation Indices Over the Brazilian Savanna.$h[electronic resource]
260 $c2024
520 $aThe behavior of five synthetic aperture radar (SAR) vegetation indices, namely, the dual-pol radar vegetation index (DpRVI), radar vegetation index (RVI) dual-pol, polarimetric RVI (PRVI), dual-pol SAR vegetation index (DPSVI), and modified DPSVI (DPSVIm) was investigated. The indices were derived from Sentinel-1 data between 2017 and 2021 for three vegetation classes (Forest, Savanna, and Grassland) in the Brasilia National Park (BNP), Brazil. Temporal profile analysis showed that all indices followed a seasonal pattern directly linked with the rainfall regime in the study site. DpRVI and RVI were related to the rate of radar signal variation over the vegetation as a function of seasonality. PRVI, DPSVI, and DPSVIm were directly related to the classes’ biomass levels and its seasonal variations over time. Precipitation and seasonal vegetation structure changes were relevant drivers of the shift and spread of the indices’ spatial distributions over time. A phenomenon called the index equalization effect was observed mainly on rainy dates, shifting and spreading the classes’ distributions to the same value ranges and degrading its separability. From a populational perspective, all indices presented associative intersections between all vegetation classes, despite the influence of seasonality. From a local perspective, DpRVI and RVI had disjoint intersections; PRVI maintained the associative relationships; and DPSVI and DPSVIm provided almost a complete separation between Forest and Grassland in all seasons. In both perspectives, DPSVIm outperformed the other indices in separating the classes by presenting the less than 72.15% average overlaps between all populational distributions and the highest H0 rejection rates, above 97% over time.
650 $aSynthetic aperture radar
650 $aVegetation
650 $aRadar
650 $aVegetação
653 $aParque Nacional de Brasília
653 $aRadar de abertura sintética
700 1 $aBAPTISTA, G. M. DE M.
700 1 $aSANO, E. E.
700 1 $aLEAL, F. A.
773 $tIEEE Transactions on Geoscience and Remote Sensing$gv. 62, 2024.
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