@InProceedings{OliveiraOrtiRosi:2014:CoDrNe,
               author = "Oliveira, Jo{\~a}o Ricardo de Freitas and Ortiz, Jussara de 
                         Oliveira and Rosim, Sergio",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Comparison Between Drainage Network Extracted From Elevation and 
                         Surface Models",
            booktitle = "Proceedings...",
                 year = "2014",
                pages = "89--93",
         organization = "International Conference on Advanced Geographic Information 
                         Systems, Applications, and Services, 6. (GEOProcessing 2014).",
             keywords = "area prote{\c{c}}{\~a}o ambiental, hidrografia, Modelagem 
                         Hidrologica, geoprocessamento.",
             abstract = "This paper presents a possible procedure to identify critical 
                         regions extracting drainage networks from surface model. 
                         Qualitative comparison between drainage network extraction from 
                         surface and elevation models, both representing the relief, was 
                         done. This comparison highlights the differences between drainages 
                         extracted from both models and it shows the same critical 
                         patterns. For the study area, the radar data was obtained from 
                         airborne SAR AES-2 (AeroSensing) with p-band and x-band sensors. 
                         Both the elevation model (p-band) and the surface model (x-band) 
                         have 2.5m of horizontal resolution. The elevation model represents 
                         the actual relief of the land surface, while the surface model is 
                         influenced by the coverage of the Earth's surface. This model may 
                         show problems in regions with forest, because the canopy of trees 
                         forms the relief. Deforestation also causes errors in the drainage 
                         representation, leading to spurious drainage formation. To 
                         identify where differences occur, a remote sensing image was used. 
                         This image was classified to identify forest regions and places 
                         with deforestation occurrence. The drainages were superimposed 
                         over the classified image to contextualize the critical areas. The 
                         remote sensing image was obtained from the Resourcesat-1 
                         satellite, also known as IRS-P6, built by the Indian Space 
                         Research Organization, porting the LISS 3 camera operating in 
                         three spectral bands (0.52-0.59\μm; 0.62-0.68\μm; 
                         0.77-0.86\μm), yielding 23.5m of horizontal resolution. The 
                         Height Above the Nearest Drainage (HAND) parameter, a useful 
                         terrain descriptor, was used to find the critical areas in the 
                         surface model. TerraHidro, a hydrological modeling system, was 
                         used to extract the drainage networks.",
  conference-location = "Barcelona",
      conference-year = "2014",
                 isbn = "978-1-61208-1",
                label = "lattes: 1649941449641846 2 OliveiraOrtiRosi:2014:CoDrNe",
             language = "en",
           targetfile = "geoprocessing_2014_4_40_30133.pdf",
                  url = "http://www.prace-ri.eu/",
        urlaccessdate = "26 abr. 2024"
}