ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA
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, d...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/159/2016/isprs-archives-XLI-B8-159-2016.pdf |
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| author | D. A. Rodriguez F. Carriello P. J. F. Fernandes L. Garofolo Lopes J. L. Siqueira Júnior |
| author_facet | D. A. Rodriguez F. Carriello P. J. F. Fernandes L. Garofolo Lopes J. L. Siqueira Júnior |
| author_sort | D. A. Rodriguez |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T23:28:40Z |
| format | Article |
| id | doaj.art-34a302bf014e48c3b743525209708966 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T23:28:40Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-34a302bf014e48c3b7435252097089662022-12-22T02:24:58ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B815916110.5194/isprs-archives-XLI-B8-159-2016ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATAD. A. Rodriguez0F. Carriello1P. J. F. Fernandes2L. Garofolo Lopes3J. L. Siqueira Júnior4Earth System Science Center, National Institute for Space Research, 12630-000 Cachoeira Paulista, São Paulo, BrazilGeosciences Institute, Universidade Federal Fluminense, Av. Litorânea s/n, 24030-346, Niterói, Rio de Janeiro, BrazilGeosciences Institute, Universidade Federal Fluminense, Av. Litorânea s/n, 24030-346, Niterói, Rio de Janeiro, BrazilEarth System Science Center, National Institute for Space Research, 12630-000 Cachoeira Paulista, São Paulo, BrazilEarth System Science Center, National Institute for Space Research, 12630-000 Cachoeira Paulista, São Paulo, BrazilAssessing 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/159/2016/isprs-archives-XLI-B8-159-2016.pdf |
| spellingShingle | D. A. Rodriguez F. Carriello P. J. F. Fernandes L. Garofolo Lopes J. L. Siqueira Júnior ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA |
| title_full | ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA |
| title_fullStr | ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA |
| title_full_unstemmed | ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA |
| title_short | ASSESSMENT OF FLOODED AREAS PROJECTIONS AND FLOODS POTENTIAL IMPACTS APPLYING REMOTE SENSING IMAGERY AND DEMOGRAPHIC DATA |
| title_sort | assessment of flooded areas projections and floods potential impacts applying remote sensing imagery and demographic data |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/159/2016/isprs-archives-XLI-B8-159-2016.pdf |
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