@InProceedings{RuhoffRiss:2017:MuHiUs,
               author = "Ruhoff, Anderson Luis and Risso, Alfonso",
                title = "Mudan{\c{c}}as hist{\'o}ricas de uso da terra no Brasil para 
                         aplica{\c{c}}{\~o}es clim{\'a}ticas e hidrol{\'o}gicas",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4374--4381",
         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 = "Historical land use and land cover changes (LULCC) scenarios are 
                         important to simulate adequately climatic and hydrological impacts 
                         in the context of climate changes. Considering that the Earths 
                         land cover has been extensively transformed in the past century 
                         and due to uncertainties to estimate historical agricultural land 
                         use and deforestation evolution, we presented here a historical 
                         evolution of land use and land cover classification in the main 
                         basins in Brazil, from 1979 to 2010. We used NOAA AVRHH and Terra 
                         MODIS images to compute vegetation indices and to apply a decision 
                         tree algorithm to create land use and land cover scenarios. The 
                         land cover scenarios, available at 1979, 1987/1988, 1992/1993, 
                         2001 and 2009/2010 are reported at spatial resolution of 1-km and 
                         describe the evolution of 4 landcover types, including forests, 
                         agriculture, pasture/grassland and savannas (cerrados). To 
                         validate our findings, we compared the historical remote sensing 
                         scenarios to agricultural census and to LANDSAT based land cover 
                         maps. The reconstructed scenarios are relevant to understand the 
                         impact of land use and land cover changes on in hydrology and the 
                         global climate. This research was funded by the The Brazilian 
                         Electricity Regulatory Agency (ANEEL).",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59303",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2UP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2UP",
           targetfile = "59303.pdf",
                 type = "Mudan{\c{c}}a de uso e cobertura da terra",
        urlaccessdate = "27 abr. 2024"
}