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Registro Completo |
Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
19/10/2004 |
Data da última atualização: |
19/10/2004 |
Autoria: |
ZERBINI, F. M.; AMBROZEVICIUS, L. P.; ANDRADE, E. C.; BARROS, D. R.; CALEGARIO, R. F.; FERNANDES, J. J.; BROMMOSCHENKEL, S. H.; FONTES, E. P. B.; CARVALHO, M. G. |
Título: |
Genetic diversity of novel begomovirus species infecting tomatoes and associated weeds in Brazil. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Virus Reviews & Research, Florianópolis, v. 8, p. 32-33, 2003. |
Idioma: |
Inglês |
Notas: |
Resumos. Trabalhos apresentado no 14º National Meeting of Virology, Florianópolis, 2003. |
Palavras-Chave: |
Díversidade genética; Planta daninha; ToCMV; ToRMV. |
Thesagro: |
Bemisia Tabaci; Erva Daninha; Inseto; Lycopersicon Esculentum; Mosca Branca; Praga; Tomate. |
Thesaurus Nal: |
Begomovirus. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01081naa a2200361 a 4500 001 1776813 005 2004-10-19 008 2003 bl uuuu u00u1 u #d 100 1 $aZERBINI, F. M. 245 $aGenetic diversity of novel begomovirus species infecting tomatoes and associated weeds in Brazil. 260 $c2003 500 $aResumos. Trabalhos apresentado no 14º National Meeting of Virology, Florianópolis, 2003. 650 $aBegomovirus 650 $aBemisia Tabaci 650 $aErva Daninha 650 $aInseto 650 $aLycopersicon Esculentum 650 $aMosca Branca 650 $aPraga 650 $aTomate 653 $aDíversidade genética 653 $aPlanta daninha 653 $aToCMV 653 $aToRMV 700 1 $aAMBROZEVICIUS, L. P. 700 1 $aANDRADE, E. C. 700 1 $aBARROS, D. R. 700 1 $aCALEGARIO, R. F. 700 1 $aFERNANDES, J. J. 700 1 $aBROMMOSCHENKEL, S. H. 700 1 $aFONTES, E. P. B. 700 1 $aCARVALHO, M. G. 773 $tVirus Reviews & Research, Florianópolis$gv. 8, p. 32-33, 2003.
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Registro Completo
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
16/04/2024 |
Data da última atualização: |
16/04/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BUSSINGUER, J. DE F.; BAPTISTA, G. M. DE M.; SANO, E. E.; LEAL, F. A. |
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. |
Título: |
Understanding the Spatio-Temporal Behavior of Sentinel-1 SAR Vegetation Indices Over the Brazilian Savanna. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
IEEE Transactions on Geoscience and Remote Sensing, v. 62, 2024. |
ISSN: |
1558-0644 |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Parque Nacional de Brasília; Radar de abertura sintética. |
Thesagro: |
Radar; Vegetação. |
Thesaurus NAL: |
Synthetic aperture radar; Vegetation. |
Categoria do assunto: |
-- |
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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