@InProceedings{SilveiraJrMesqJúni:2015:AnGeCa,
               author = "Silveira Junior, Carlos Roberto da and Mesquita, Vin{\'{\i}}cius 
                         Vieira and J{\'u}nior, Laerte Guimar{\~a}es Ferreira",
                title = "An{\'a}lise da Generaliza{\c{c}}{\~a}o Cartogr{\'a}fica em 
                         Imagens {\'{\I}}ndice de Vegeta{\c{c}}{\~a}o Geradas a partir 
                         de Dados Meteosat Second Generation",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "683--690",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Geostationary satellites, traditionally focused on the detection 
                         and monitoring of atmospheric phenomena are increasingly used for 
                         the dynamic monitoring of the surface. Among these stands the 
                         Meteosat 10 which is located at 0° longitude, with field of view 
                         that covers part of South America and provides data every 15 
                         minutes. The Meteosat 10 represents an opportunity to approach, 
                         through the NDVI vegetation index, processes that occur in plants, 
                         such as the duration and intensity of the plants photosynthetic 
                         activity and plant phenology. This article aims to assess the NDVI 
                         generated from Meteosat 10 images, especially with respect to its 
                         cartographic generalization and study area as having the PNE 
                         (Parque Nacional das Emas, Goi{\'a}s). The proposed methodology 
                         is based on mapping the vegetation types, in order to aid in the 
                         comparative analysis between different satelite sensors. For that, 
                         a Meteosat 10 pixel was selected in a representative area of the 
                         vegetation types of the PNE, and that were coincident with the 
                         passages of the satellites Terra MODIS and Landsat 8 OLI. The use 
                         of Meteosat 10 data for vegetation indices presents some 
                         challenges, but the unmatched high temporal resolution with bands 
                         in the range of the reflected spectrum, represents a great 
                         potential for environmental monitoring.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "131",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM45HU",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM45HU",
           targetfile = "p0131.pdf",
                 type = "Monitoramento e modelagem ambiental",
        urlaccessdate = "07 maio 2024"
}