@InProceedings{HamadaGonç:2017:SuGeAn,
               author = "Hamada, Emilia and Gon{\c{c}}alves, Renata Ribeiro do Valle",
                title = "Subs{\'{\i}}dios do geoprocessamento para an{\'a}lise integrada 
                         dos dados de mudan{\c{c}}as clim{\'a}ticas e de problemas 
                         fitossanit{\'a}rios",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4495--4501",
         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 = "Brazil is highly dependent on agriculture, which is directly 
                         dependent on climatic factors. Due to the intense relationship 
                         between environment and disease, changes in the geographical and 
                         temporal distribution of disease occurrence may occur as an impact 
                         of climate change. The responses of different pathosystems to 
                         climate change vary widely. The objective of this study was to 
                         present a proposal for the integrated analysis of climate change 
                         projections and phytosanitary problems, by using geoprocessing 
                         supports. The integrated analysis allows a better understanding of 
                         the interaction of these two climatic and biological systems in 
                         space and time. The prediction of the climate change scenarios of 
                         geographic distribution of pests obtained with the support of 
                         Geoprocessing presents great potential, allowing the development 
                         of tactics of control and strategies, in order to facilitate the 
                         decision making, with significant time and resource saving.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59308",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM387",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM387",
           targetfile = "59308.pdf",
                 type = "Mudan{\c{c}}as clim{\'a}ticas",
        urlaccessdate = "27 abr. 2024"
}