@InProceedings{AndradesFoRibAlvCreSoa:2017:PoDiGe,
               author = "Andrades Filho, Cl{\'o}dis de Oliveira and Ribeiro, B{\'a}rbara 
                         Maria Giaccom and Alves, Fabio Corr{\^e}a and Cremon, Edipo 
                         Henrique and Soares, Rogerio Dutra",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Potencial de discrimina{\c{c}}{\~a}o geomorfom{\'e}trica da 
                         Forma{\c{c}}{\~a}o Tupanciret{\~a} na Bacia do Paran{\'a}, sul 
                         do Brasil",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3247--3254",
         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 = "Geomorphometry has shown great progress following the use of 
                         digital elevation models (DEMs), especially global DEMs derived 
                         from the Shuttle Radar Topography Mission (SRTM); it has become a 
                         powerful framework for the discrimination of geological units 
                         based on associated geomorphological characteristics. We applied 
                         algorithms to SRTM DEMs in order to derive the following 
                         geomorphometric variables: height, amplitude, coherence, slope, 
                         hypsometric integral, predominance, relief anomaly, roughness, 
                         surface (SI) and terrain ruggedness (TRI) indexes. We believe 
                         these variables could help to uncover topographic patterns 
                         associated to the Tupanciret{\~a} geological formation (after 
                         Jurassic-Cretaceous period) and the Serra Geral geological 
                         formation (Jurassic-Cretaceous period). The geomorphometric 
                         variables: height, amplitude and SI and TRI indexes performed 
                         better when discriminating the spatial occurrence of the 
                         Tupanciret{\~a} and Serra Geral geological formations. This 
                         result indicates that the aforementioned geomorphometric variables 
                         could potentially improve the geological mapping of Rio Grande do 
                         Sul state; its main contribution would be the increase of the 
                         accuracy in the discrimination of deposits of sediments from 
                         Tupanciret{\~a} geological formation. This is a major 
                         contribution, once the cartographic base currently in use was 
                         elaborated in the 1960-70s and it does not take into account the 
                         myriad of geological data widely available nowadays from diverse 
                         sources such as remote sensing. These data will help to solve 
                         incongruences and enhance the current geologic mapping for Rio 
                         Grande do Sul, South of Brazil; also contributing towards the 
                         refinement of the geological evolution of the Intracratonic Basin 
                         of Paran{\'a}.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60045",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLSK2",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLSK2",
           targetfile = "60045.pdf",
                 type = "Geologia",
        urlaccessdate = "27 abr. 2024"
}