@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 = "30 abr. 2024"
}