@InProceedings{AlfayaFlorBarb:2012:MaAmRi,
               author = "Alfaya, Felipe Augusto Ventura da Silva and Florenzano, Teresa 
                         Gallotti and Barbosa, Claudio Clemente Faria",
          affiliation = "undefined and undefined and undefined",
                title = "Mapping Amazon river floodplain reach with SRTM-DEM using the HAND 
                         descriptor and object-based image analysis",
            booktitle = "Proceedings...",
                 year = "2012",
               editor = "Feitosa, Raul Queiroz and Costa, Gilson Alexandre Ostwald Pedro da 
                         and Almeida, Cl{\'a}udia Maria de and Fonseca, Leila Maria Garcia 
                         and Kux, Hermann Johann Heinrich",
                pages = "137--140",
         organization = "International Conference on Geographic Object-Based Image 
                         Analysis, 4. (GEOBIA).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Amazon River floodplain, object based classification, SRTM, 
                         HAND.",
             abstract = "The study of the Amazon River floodplain is of great importance 
                         for many subjects, and the first challenge that needs to be 
                         overcome in these studies is accurately defining the area of 
                         floodplain occurrence. An important source of data for this kind 
                         of study is the SRTM Digital Elevation Model. The objective of 
                         this work is to evaluate the use of SRTM data and HAND descriptor 
                         (Renn{\'o} et al, 2008) to map the Amazon River floodplain, using 
                         object based image analysis. For this, an Amazon River floodplain 
                         reach, {\'O}bidos, Par{\'a} State was selected to apply the 
                         classification method. The classification was carried out using a 
                         two level segmentation and three level classification procedures. 
                         SRTM-DEM, HAND-DEM and HAND-DEM derived slope and curvature images 
                         were used as information layers. The results of the Monte Carlo 
                         analysis used to evaluate the level of agreement between the 
                         classifications and a reference map reveal that object based 
                         classification methods shows promise for floodplain mapping.",
  conference-location = "Rio de Janeiro",
      conference-year = "May 7-9, 2012",
                 isbn = "978-85-17-00059-1",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP8W/3BSRK82",
                  url = "http://urlib.net/ibi/8JMKD3MGP8W/3BSRK82",
           targetfile = "042.pdf",
                 type = "Aquatic and Coastal Ecossystems",
        urlaccessdate = "16 maio 2024"
}