• DocumentCode
    2321610
  • Title

    Physical characterisation of deprivation in cities: How can remote sensing help to profile poverty (slum dwellers) in the megacity of Delhi/India?)

  • Author

    Netzband, Maik ; Rahman, Atiqur

  • Author_Institution
    Geogr. Inst., Ruhr-Univ. Bochum, Bochum
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Addressing the question dasiaIs the world urbanizing in a context of poverty?psila has been so far based on limited information. There is only poor scientific and operational knowledge of this process. Urban growth & land consumption patterns are poorly understood (i.e. coastal cities are growing faster; they are disproportionately urban and with higher densities). Thus, the available information is inadequate for policy & planning. Due to their microstructure, irregularity and direct adaptation to local conditions and the terrain, a generically applicable mapping of these settlements is difficult. The focus of the proposed paper will be laid on experiences in identifying slums and informal settlements in the Megacity of Delhi/India by means of high resolution remote sensing in order to help spatially profile poverty in very complex (cluttered) and partly hard to control giant and fast growing urbanized regions. An integrated approach using ASTER satellite data and GIS is applied in conjunction with socio-economic data collected from different government offices for assessing such urban issues.
  • Keywords
    demography; geographic information systems; remote sensing; socio-economic effects; ASTER satellite data; Delhi; India; coastal cities; geographic information system; informal settlements; land consumption patterns; megacity; poverty profiling; remote sensing; slum dwellers; socio-economic data; urban growth; urbanization; Air pollution; Cities and towns; Condition monitoring; Diseases; Humans; Local government; Observatories; Remote sensing; Statistics; Water pollution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137652
  • Filename
    5137652