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
Link To Document :
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