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@Article{KuplichMoreFont:2013:SéTeÍn,
               author = "Kuplich, Tatiana Mora and Moreira, Andreise and Fontana, Denise 
                         C.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and UFRGS, Av. Bento 
                         Gon{\c{c}}alves, 7712, CEP 91540-000, Porto Alegre, RS, Brazil",
                title = "S{\'e}rie temporal de {\'{\i}}ndice de vegeta{\c{c}}{\~a}o 
                         sobre diferentes tipologias vegetais no Rio Grande do Sul / Time 
                         series of vegetation index for different vegetation types in Rio 
                         Grande do Sul",
              journal = "Revista Brasileira de Engenharia Agr{\'{\i}}cola e Ambiental",
                 year = "2013",
               volume = "17",
               number = "10",
                pages = "1116--1123",
             keywords = "{\'{\i}}ndice de vegeta{\c{c}}{\~a}o melhorado, ondaleta, 
                         fenologia, sensoriamento remoto, enhanced vegetation index, 
                         wavelet, phenology, remote sensing.",
             abstract = "Com este trabalho objetivou-se identificar a din{\^a}mica 
                         fenol{\'o}gica das principais tipologias vegetais do Rio Grande 
                         do Sul, para o per{\'{\i}}odo de 2000 a 2010, utilizando-se 
                         dados de Enhanced Vegetation Index, atrav{\'e}s da transformada 
                         de ondaleta. A identifica{\c{c}}{\~a}o da fenologia em ciclos ou 
                         padr{\~o}es sazonais em s{\'e}ries temporais de {\'{\i}}ndices 
                         de vegeta{\c{c}}{\~a}o, obtidos por sensores orbitais, permite a 
                         observa{\c{c}}{\~a}o de anomalias e os efeitos de 
                         mudan{\c{c}}as clim{\'a}ticas ou ambientais. Um perfil temporal 
                         do Enhanced Vegetation Index foi constru{\'{\i}}do para o Rio 
                         Grande do Sul e retiradas amostras para quatro tipologias 
                         vegetais: campo nativo, floresta ombr{\'o}fila mista, cultivo de 
                         soja e de arroz. Essas amostras foram submetidas {\`a} 
                         transformada de ondaleta, que permitiu a decomposi{\c{c}}{\~a}o 
                         da s{\'e}rie e apresenta{\c{c}}{\~a}o dos dados em 
                         rela{\c{c}}{\~a}o ao tempo e frequ{\^e}ncia com que os eventos 
                         fenol{\'o}gicos ocorreram. Os dados apresentaram regularidade na 
                         din{\^a}mica das tipologias vegetais testadas, com ciclos anuais 
                         de maior vigor e crescimento vegetal nas esta{\c{c}}{\~o}es de 
                         primavera e ver{\~a}o e menor no outono e inverno. ABSTRACT: The 
                         objective of this study was the identification of the phenology 
                         dynamics of the main types of vegetation of Rio Grande do Sul 
                         state, for the period from 2000 to 2010, using Enhanced Vegetation 
                         Index data through the wavelet transform. The identification of 
                         cycles or seasonal patterns in time series of vegetation indices 
                         obtained by orbital sensors allows the observation of anomalies 
                         and effects of climate and environmental change. A temporal 
                         profile of Enhanced Vegetation Index was built for the Rio Grande 
                         do Sul region, where samples of the four main plant typologies 
                         were selected: native grassland, mixed ombrophilous forest, 
                         soybean and rice crop. These samples were submitted to the wavelet 
                         transform, which allowed the decomposition of the series and 
                         presentation of data in relation to time and frequency with which 
                         the phenological events have occurred. The data showed regularity 
                         in the dynamics of vegetation types tested, with annual cycles of 
                         plant growth and higher Enhanced Vegetation Index values in spring 
                         and summer and lower Enhanced Vegetation Index values in autumn 
                         and winter.",
                  doi = "10.1590/S1415-43662013001000014",
                  url = "http://dx.doi.org/10.1590/S1415-43662013001000014",
                 issn = "1415-4366",
                label = "scopus 2013-11",
             language = "pt",
           targetfile = "14.pdf",
        urlaccessdate = "22 jan. 2021"
}


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