Abstract
Abstract The urban fringe area is often characterized by a conflict between competing demands for land from many types of development; thus it requires active planning to achieve a landscape compatible with green-belt designation. Data were obtained from the NRSC SPOT-simulation campaign for an area near eastern Glasgow in an exercise to assess the value of remotely sensed data for surveying the structure of this urban fringe area. Digital enhancement and classification methods were applied to the data, identifying eight rural and six urban land-cover classes. Cloud and cloud shadow prevented a statistical accuracy assessment being performed. The most useful results were obtained by first stratifying the area into urban and rural subdivisions, followed by an interactive classification approach to the training and classification of desired fringe classes involving an analyst with local knowledge. Results showed that important urbanfringe classes of land cover can be readily identified from SPOT data, but the 20 m resolution is insufficient to discriminate inner city detail. These interim conclusions using suboptimal simulation data imply that high-resolution satellite data, rectified to a map base, classified and accuracy assessed, can be used as a survey tool to aid the physical planning of urban-fringe areas.
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