@InProceedings{Sciamarelli:2017:DaMOSa,
               author = "Sciamarelli, Alan",
                title = "Dados MODIS/EVI dos sat{\'e}lites Aqua e Terra variam modelos de 
                         distribui{\c{c}}{\~a}o de Peltophorum dubium (Spreng.) Taub. no 
                         Brasil?",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2003--2010",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Peltophorum dubium (Spreng.) Taub. It has an outstanding interest 
                         in the economy, both by logging as the suitability for 
                         revegetation work. The species distribution modeling used in 
                         studies concerning the loss of information diversity and 
                         occurrence of species. This study aimed to compare data MODIS / 
                         EVI Terra and Aqua satellites in 2015, to know the influence of 
                         data on the geographical distribution of P. dubium in Brazil. We 
                         randomly selected 200 occurrence records for the construction of 
                         models and 50 for testing. For species distribution modeling was 
                         used the Environmental Distance algorithm (ED) and used a set of 
                         environmental variables of climate (Worldclim). The MOD13Q1 and 
                         MYD13Q1 products, satellites TERRA and AQUA, respectively, can 
                         generate, EVI (Enhanced Vegetation Index). These data grouped and 
                         automatically trimmed the different images that make up the 
                         federative units of Brazil. Images being used for 2015 years 
                         images in 250m resolution in seven different dates considering 
                         four dates in the wet season, between January and February, and 
                         tree in dry season, between June and July, the 26 federative units 
                         of Brazil, totaling one hundred and eighty two images. The models 
                         generated by the data only Worldclim showed larger areas of 
                         environmental suitability of the models with Worldclim data plus 
                         data from Terra satellite, and Aqua, and the models generated with 
                         Aqua satellite data showed the lowest areas of environmental 
                         suitability.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "61657",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLPPJ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPPJ",
           targetfile = "61657.pdf",
                 type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}