• DocumentCode
    614238
  • Title

    Building extraction from remote sensing data for parameterising a building typology: A contribution to flood vulnerability assessment

  • Author

    Angela, B.-V. ; Norbert, H. ; Jochen, S.

  • Author_Institution
    Dept. of Environ. Dev. & Risk Manage., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2013
  • fDate
    21-23 April 2013
  • Firstpage
    147
  • Lastpage
    150
  • Abstract
    The analysis of flood impacts on buildings in large areas require both a building typology and a method to calculate its physical impacts. This paper focuses on the importance of extraction of building characteristics from remote sensing data in areas where the characterisation of the building structure is lacking. A comprehensive description of a number of building parameters which are necessary for deriving a building typology in the context of flood vulnerability assessment is given. This paper briefly summarises different methods for the extraction of those parameters from remote sensing and GIS analyses. Finally, the application of the extraction of the parameters on one set of data is shown, concluding some advantages of this approach for further analysis of flood damages.
  • Keywords
    buildings (structures); floods; geographic information systems; geophysical image processing; terrain mapping; GIS analysis; building characteristics extraction; building parameter extraction; building structure; building typology; flood damages; flood impacts; flood vulnerability assessment; physical impacts; remote sensing analysis; remote sensing data; Accuracy; Buildings; Context; Data mining; Floods; Remote sensing; Spaceborne radar; building extraction; building flood susceptibility; building parameters; building typology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2013 Joint
  • Conference_Location
    Sao Paulo
  • Print_ISBN
    978-1-4799-0213-2
  • Electronic_ISBN
    978-1-4799-0212-5
  • Type

    conf

  • DOI
    10.1109/JURSE.2013.6550687
  • Filename
    6550687