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@Article{RodriguezCarFerLopSiq:2016:AsFlAr,
               author = "Rodriguez, Daniel Andres and Carriello, Felix and Fernandes, P. J. 
                         F. and Lopes, Lucas Garofolo and Siqueira J{\'u}nior, Jos{\'e} 
                         L{\'a}zaro de",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal Fluminense (UFF)} and {Universidade Federal 
                         Fluminense (UFF)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessment of flooded areas projections and floods potential 
                         impacts applying remote sensing imagery and demographic data",
              journal = "International Archives of the Photogrammetry, Remote Sensing and 
                         Spatial Information Sciences",
                 year = "2016",
               volume = "41",
                pages = "159--161",
             keywords = "Climate change impacts, Climate change vulnerability, Floods.",
             abstract = "Assessing vulnerability and potential impacts associated with 
                         extreme discharges requires an accurate topographic description in 
                         order to estimate the extension of flooded areas. However, in most 
                         populated regions, topographic data obtained by in-situ 
                         measurements is not available. In this case, digital elevation 
                         models derived from remote sensing date are usually applied. 
                         Moreover, this digital elevation models have intrinsic errors that 
                         introduce bigger uncertainty in results than the associated to 
                         hydrological projections. On the other hand, estimations of 
                         flooded areas through remote sensing images provide accurate 
                         information, which could be used for the construction of river 
                         level-flooded area relationships regarding vulnerability 
                         assessment. In this work, this approach is applied for the city of 
                         Porto Velho in the Brazilian Amazonia to assess potential 
                         vulnerability to floods associated with climate change 
                         projections. The approach is validated using census data, provided 
                         by the Brazilian Institute of Geography and Statistics, and 
                         information about socio-economical injuries associated to 
                         historical floods, provided by the Brazilian Civil Defence. 
                         Hydrological projections under climate change are carried out 
                         using several downscaling of climate projections as inputs in a 
                         hydrological model. Results show more accurate estimation of flood 
                         impacts than the obtained using digital elevation models derivate 
                         from remote sensing data. This reduces uncertainties in the 
                         assessment of vulnerability to floods associated with climate 
                         change in the region.",
                  doi = "10.5194/isprsarchives-XLI-B8-159-2016",
                  url = "http://dx.doi.org/10.5194/isprsarchives-XLI-B8-159-2016",
                 issn = "1682-1750",
             language = "en",
        urlaccessdate = "24 nov. 2020"
}


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