@InProceedings{Brochado:2015:AtEfDe,
               author = "Brochado, Gabriel Thom{\'e}",
                title = "Atenua{\c{c}}{\~a}o do efeito do desflorestamento em dados 
                         SRTM",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "223--231",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The SRTM data has been used in many areas of knowledge, however, 
                         the c-band does not allow the correct representation of the ground 
                         surface by the DEM. Artificial features can appear in regions 
                         where abrupt coverage changes are observed, such as the contact 
                         areas like forest and deforestation, often precluding the use of 
                         this data. In order to reduce specifically the deforestation 
                         effect a new method was developed in which the elevation gap 
                         between forest and deforestation coverages is reduced by raising 
                         every SRTM-DEM pixel inside the deforestation areas by a variable 
                         value. These variable values are obtained by the interpolation of 
                         sample height differences collected along the boundaries between 
                         areas of forest and deforestation. Forest areas and deforestation 
                         are identified from Landsat images with the date close to the SRTM 
                         flight. The corrected SRTM data was validated using a finer 
                         resolution reference DEM obtained by p-band interferometry, which 
                         was considered to represent the terrain topography. The results 
                         showed that the method successfully reduced the deforestation 
                         effects on the SRTM data.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "49",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4545",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4545",
           targetfile = "p0049.pdf",
                 type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
        urlaccessdate = "04 maio 2024"
}