@InProceedings{Toledo:2017:LeReRe,
               author = "Toledo, Cristian Epif{\^a}nio de",
                title = "Levantamento da rede reservat{\'o}rio no semi{\'a}rido 
                         brasileiro por meio de sensoriamento remoto",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5400--5407",
         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 reservoirs are the main water source in the Brazilian semiarid 
                         region, especially in the crystalline-geology watersheds, 
                         generating a high density reservoir network. The objective of this 
                         work was mapping and evaluating the spatial distribution of the 
                         HdRN in the 25,000 kmē Or{\'o}s Reservoir Basin, Brazil, with the 
                         help of remote sensing tools associated with Geographic 
                         Information Systems. Using images LANDSAT 5 of the end of the 
                         rainy season of 2011 of the ORB, the remote sensing technique 
                         allowed the identification of 6,002 polygons, which corresponded 
                         to only 4,717 reservoirs (i.e., 27% misidentification). The 
                         perimeter of the reservoirs ranged from 0.250 to 560 km and the 
                         individual water surface area ranged from of 0.004 to 195.0 kmē, 
                         with a total of 465.0 kmē. Analyzing the surface area of some 
                         reservoirs, results showed that the surface area estimated by 
                         remote sensing with manual adjustment of the polygons yielded 
                         values very close the on-site monitored areas, generating R2 = 
                         0.99 and Normalized Difference Index ranging from -0.02 to +0.09. 
                         The density of reservoirs in the ORB in 2011 was 0.19 
                         reservoirs/kmē, higher than the optimum recommended density for 
                         the basin of 0.15 reservoirs/kmē. Remote sensing method used to 
                         identify the reservoirs allowed the mapping and evaluation of the 
                         surface areas of strategic reservoirs of Basin {\'O}ros 
                         Reservoir, showing great potential for monitoring, planning and 
                         management of water resources.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "61662",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM4QU",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM4QU",
           targetfile = "61662.pdf",
                 type = "{\'A}reas {\'u}midas e {\'a}guas interiores",
        urlaccessdate = "27 abr. 2024"
}