@InProceedings{LopesFoGaMiDuSo:2017:SRASGD,
               author = "Lopes, Matheus de Freitas Leal and Fontenele, Gabrielly Ribeiro 
                         and Gameiro, Samuel and Miranda, Mateus de Paula and Duarte, 
                         Cynthia Romariz and Souto, Michael Vandesteen Silva",
                title = "An{\'a}lise comparativa dos lineamentos da regi{\~a}o da jazida 
                         f{\'o}sforo-uran{\'{\i}}fera de Itataia-CE gerados atrav{\'e}s 
                         dos MDE: SRTM+, ASTER GDEM 2 e TOPODATA",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "763--770",
         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 use of remote sensing in the evaluation of geological targets 
                         has important contributions in mapping studies. Because of this, 
                         image analysis, considered as pre and post-stage field, is of 
                         fundamental importance in the geological interpretations. 
                         Lineament is a mappable feature on the Earth''s surface, linear, 
                         straight or slightly curved. This work aims to identify what kind 
                         of image has better result in the automatic extraction of 
                         geological lineaments, by visual evaluation of the results. The 
                         following digital elevation model (DEM) images were investigated: 
                         SRTM + (Shuttle Radar Topography Mission), ASTER GDEM (Advanced 
                         Spaceborne Thermal Emission and Reflection Radiometer) and 
                         TOPODATA (Brazilian Geomorphometric Database). Automatic 
                         extraction of lineament was made with the software PCI Geomatica 
                         2016 and the generation of rosettes diagrams was made with 
                         RockWorks 2016 Software. The average population of lineaments 
                         generated using the three parameters was approximately 1500. 
                         According to the observations made in this work, the DEM more 
                         suitable for automatic lineaments extraction is the SRTM +. On a 
                         scale of efficiency for automatic lineaments extraction, SRTM + 
                         would be the best, followed by TOPODATA while ASTER GDEM 2 does 
                         not have a good effectiveness, because of its underestimation of 
                         high altitudes.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59512",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS44RH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS44RH",
           targetfile = "59512.pdf",
                 type = "Geologia",
        urlaccessdate = "27 abr. 2024"
}