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@InProceedings{TramontinaKuSaAlMaPe:2019:SéTeÍn,
               author = "Tramontina, Juliana and Kuplich, Tatiana Mora and Saldanha, 
                         Dejanira Luderitz and Alba, Elisiane and Marchesan, Juliana and 
                         Pereira, Rudiney Soares",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal 
                         do Rio Grande do Sul (UFRGS)} and {Universidade Federal de Santa 
                         Maria (UFSM)} and {Universidade Federal de Santa Maria (UFSM)} and 
                         {Universidade Federal de Santa Maria (UFSM)}",
                title = "S{\'e}ries temporais de {\'{\i}}ndices de vegeta{\c{c}}{\~a}o 
                         do sensor MODIS para detec{\c{c}}{\~a}o de limiares de 
                         desmatamento no bioma Mata Atl{\^a}ntica",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "2918--2921",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Fenologia, SATVeg, NDVI, EVI, sensoriamento remoto, Phenology, 
                         SATVeg, NDVI, EVI, remote sensing.",
             abstract = "Este trabalho teve por objetivo a utiliza{\c{c}}{\~a}o de 
                         s{\'e}ries temporais de {\'{\i}}ndices de vegeta{\c{c}}{\~a}o 
                         (NDVI e EVI) do sensor MODIS para detec{\c{c}}{\~a}o de limiares 
                         de desmatamento no bioma Mata Atl{\^a}ntica no Rio Grande do Sul. 
                         Em 341 imagens NDVI e EVI de janeiro de 2002 a outubro de 2016 as 
                         classes de uso e cobertura da terra floresta, agricultura e campo 
                         foram amostradas. Ao todo foram obtidos 42 pontos, 15 de floresta, 
                         15 de agricultura e 12 de campo, com base no Google Earth. As 
                         assinaturas temporais foram extra{\'{\i}}das por meio da 
                         ferramenta Web SATVeg - Sistema de An{\'a}lise Temporal da 
                         Vegeta{\c{c}}{\~a}o - desenvolvida pela Embrapa Inform{\'a}tica 
                         Agropecu{\'a}ria. Os resultados apontaram os valores 
                         m{\'{\i}}nimos e m{\'a}ximos dos {\'{\i}}ndices para as 
                         classes de interesse, que foram posteriormente aplicados como 
                         limiares para identifica{\c{c}}{\~a}o de {\'a}reas de 
                         mudan{\c{c}}a ou {\'a}reas com indicativos de desmatamento. A 
                         metodologia mostrou-se eficaz para os objetivos propostos. 
                         ABSTRACT: The objective of this work was the use of time series of 
                         vegetation indices (NDVI and EVI) of the MODIS sensor to detect 
                         deforestation thresholds in the Atlantic Forest biome in Rio 
                         Grande do Sul. In 341 NDVI and EVI images from January 2002 to 
                         October 2016 the land cover and use classes, agriculture and field 
                         were sampled. In all, 42 points were obtained, 15 of forest, 15 of 
                         agriculture and 12 of field, based on Google Earth. The temporal 
                         signatures were extracted through the Web tool SATVeg Vegetation 
                         Temporal Analysis System - developed by Embrapa Agricultural 
                         Informatics. The results indicated the minimum and maximum values 
                         of the indices for the interest classes, which were later applied 
                         as thresholds to identify areas of change or areas with 
                         deforestation indicative. The methodology proved effective for the 
                         proposed objectives.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3U258HP",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3U258HP",
           targetfile = "97369.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "13 abr. 2021"
}


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