@InProceedings{NicoleteCarvZimb:2017:AvÍnTo,
               author = "Nicolete, Donizeti Aparecido Pastori and Carvalho, Tania Maria de 
                         and Zimback, C{\'e}lia Regina Lopes",
                title = "Avalia{\c{c}}{\~a}o do {\'{\i}}ndice topogr{\'a}fico de 
                         umidade obtido por diferentes modelos digitais de 
                         eleva{\c{c}}{\~a}o",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3932--3938",
         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 = "The topography, represented by digital elevation models (DEM), has 
                         a great influence in the physical and ecological processes in 
                         watersheds. DEM are frequently obtained by topographic maps and 
                         recently by remote sensing. The surface moisture accumulation can 
                         be modeled using the topographic wetness index (TWI) obtained from 
                         the MDE and represents the most susceptible sites to saturation 
                         and consequently surface runoff formation. This processes is 
                         relevant in the soil and water conservation planning, mainly in 
                         locales where agricultural practices are predominated. This study 
                         aims to evaluate the TWI obtained by different MDEs for the 
                         Araqu{\'a} River basin located in the Midwest S{\~a}o Paulo 
                         state, Brazil. The SRTM, ASTER GDEM and MDE products interpolated 
                         from the topographic maps, with 30x30m spatial resolution, were 
                         used as a database. The TWI derived from these are called 
                         TWI_SRTM, TWI_ASTER and TWI_CARTA. From the analysis of the 
                         results it was observed that the minimum, maximum and range values 
                         were similar for the three products, for spatial and frequency 
                         distribution of the values the TWI_SRTM and TWI_ASTER products 
                         demonstrate to be equivalent. Thus, the MDEs obtained by remote 
                         sensing are promising to obtain secondary topographic indexes such 
                         as TWI, especially for sites with no topographic maps.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59655",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM28P",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM28P",
           targetfile = "59655.pdf",
                 type = "Recursos h{\'{\i}}dricos",
        urlaccessdate = "27 abr. 2024"
}