@InProceedings{FortunatoBorg:2023:UsMéFe,
               author = "Fortunato, Udmilla Moura Contes and Borges, Elane Fiuza",
          affiliation = "{Universidade Estadual de Feira de Santana (UEFS)} and 
                         {Universidade Estadual de Feira de Santana}",
                title = "Uso de m{\'e}tricas fenol{\'o}gicas derivadas de s{\'e}ries 
                         temporais de {\'{\i}}ndice de vegeta{\c{c}}{\~a}o do sensor 
                         MODIS na an{\'a}lise de fei{\c{c}}{\~o}es naturais e 
                         antr{\'o}picas da Caatinga",
            booktitle = "Anais...",
                 year = "2023",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de and Sanches, Ieda DelArco",
                pages = "e156394",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 20. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "fenologia de superf{\'{\i}}cie terrestre, semi{\'a}rido, EVI, 
                         land surfacy phenolog, semi-arid, EVI.",
             abstract = "A an{\'a}lise do comportamento da vegeta{\c{c}}{\~a}o ganhou 
                         destaque nos {\'u}ltimos anos em decorr{\^e}ncia da crescente 
                         preocupa{\c{c}}{\~a}o com as din{\^a}micas das 
                         altera{\c{c}}{\~o}es globais e a preserva{\c{c}}{\~a}o do meio 
                         ambiente, apontando a intensa degrada{\c{c}}{\~a}o ambiental de 
                         diferentes ambientes semi{\'a}ridos e {\'a}ridos. Analogamente, 
                         a fenologia vegetal {\'e} influenciada por 
                         caracter{\'{\i}}sticas do ambiente, sendo assim um indicador da 
                         resposta de um ecossistema a um conjunto de vari{\'a}veis 
                         ambientais. Desse modo, objetivou-se extrair e analisar as 
                         m{\'e}tricas fenol{\'o}gicas de amplitude, comprimento e as 
                         taxas de rebrota e senesc{\^e}ncia para investigar o 
                         comportamento fenol{\'o}gico da cobertura vegetal natural e 
                         antr{\'o}pica do bioma Caatinga. Para tal, foram utilizadas 
                         s{\'e}ries temporais de EVI do sensor MODIS para extrair as 
                         m{\'e}tricas fenol{\'o}gicas do per{\'{\i}}odo de crescimento 
                         vegetativo. Os resultados obtidos demonstraram que as 
                         fei{\c{c}}{\~o}es vegetacionais naturais e antr{\'o}picas 
                         obedecem a um padr{\~a}o ao longo do ciclo fenol{\'o}gico 
                         inerente {\`a} sazonalidade clim{\'a}tica, em 
                         espec{\'{\i}}fico, a irregularidade pluviom{\'e}trica. 
                         ABSTRACT: The analysis of vegetation behavior has gained 
                         prominence in recent years due to the growing concern with the 
                         dynamics of global changes and the preservation of the 
                         environment, pointing out the intense environmental degradation of 
                         different semi-arid and arid environments. Similarly, plant 
                         phenology is influenced by environmental characteristics, thus 
                         being an indicator of an ecosystem's response to a set of 
                         environmental variables. Thus, the objective of this work was to 
                         extract and analyze the phenological metrics of amplitude, length 
                         and rates of regrowth and senescence to investigate the 
                         phenological behavior of the natural and anthropic vegetation 
                         cover of the Caatinga biome. For this, EVI time series of the 
                         MODIS sensor were used to extract the phenological metrics of the 
                         vegetative growth period. The results obtained showed that natural 
                         and anthropic vegetation features follow a pattern throughout the 
                         phenological cycle inherent to climatic seasonality, in 
                         particular, rainfall irregularity.",
  conference-location = "Florian{\'o}polis",
      conference-year = "02-05 abril 2023",
                 isbn = "978-65-89159-04-9",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/495E5R8",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/495E5R8",
           targetfile = "156394.pdf",
                 type = "An{\'a}lise de s{\'e}ries temporais de imagens de 
                         sat{\'e}lite",
        urlaccessdate = "15 jun. 2024"
}