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A Common Knowledge Database for Remote Sensing and Geographic Information in a Change-Detection Expert System

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  • R T Newkirk

    (School of Urban and Regional Planning, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1)

  • F Wang

    (Computer Science Department, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1)

Abstract

Remote sensing (RS) and geographic information systems (GIS) can provide essential support for each other's operations. RS can provide information on current and changed land-use cover for a GIS, and, more importantly, a GIS can provide an essential expert knowledge base to help automate the technically demanding aspects of RS change-detection analysis. No commercially available system provides effective support for this important synergistic relationship. A prototype integration of both RS and GIS processing in association with an expert system has been developed. Vector and raster data are stored in a unified database which is accessed by an expert system to control key aspects of RS change detection. New RS interpretations are accumulated in the common database, providing potential for developing a system with a ‘learning’ function. The results show there is good promise for reducing some of the technical aspects of RS change analysis which have limited its application by practising planners, and for providing a significantly improved regional analysis tool.

Suggested Citation

  • R T Newkirk & F Wang, 1990. "A Common Knowledge Database for Remote Sensing and Geographic Information in a Change-Detection Expert System," Environment and Planning B, , vol. 17(4), pages 395-404, December.
    • Handle: RePEc:sae:envirb:v:17:y:1990:i:4:p:395-404
    DOI: 10.1068/b170395
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