• DocumentCode
    781721
  • Title

    Characterization of suburban areas for land use planning using landscape ecological indicators derived from IKONOS-2 multispectral imagery

  • Author

    Greenhill, Darrel R. ; Ripke, Lennart T. ; Hitchman, Adrian P. ; Jones, Graeme A. ; Wilkinson, Graeme G.

  • Author_Institution
    Sch. of Comput. & Inf. Syst., Kingston Univ., UK
  • Volume
    41
  • Issue
    9
  • fYear
    2003
  • Firstpage
    2015
  • Lastpage
    2021
  • Abstract
    Very high resolution satellite images are used to derive the spatial distributions of landscape ecological metrics within suburban areas. These indicators are weighted mean patch size and lacunarity computed from thresholded normalized difference vegetation index obtained from multispectral IKONOS-2 imagery. Spatial distributions of the metrics are derived for an extensive suburban area on the southwest edge of London, U.K. Weighted mean patch size and lacunarity values have also been investigated in subimages corresponding to different kinds of suburban land cover and with different box sizes. The results indicate typical ranges of the metrics in environmentally sustainable localities. The spatial distributions of the metrics provide new insight into landscape structure, which can be exploited in land use planning and in the construction of empirical spatial planning heuristics for sustainable urban development.
  • Keywords
    land use planning; terrain mapping; IKONOS-2 multispectral imagery; London; UK; empirical spatial planning heuristics; lacunarity; land use planning; landscape ecological indicators; landscape ecological metrics; landscape structure; normalized difference vegetation index; satellite images; suburban areas; suburban land cover; sustainable urban development; weighted mean patch size; Cities and towns; Government; Information systems; Land surface; Land use planning; Multispectral imaging; Radiometry; Remote monitoring; Spatial resolution; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2003.814629
  • Filename
    1232215