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

R T Newkirk and F Wang
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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

Environment and Planning B, 1990, vol. 17, issue 4, 395-404

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.

Date: 1990
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:17:y:1990:i:4:p:395-404

DOI: 10.1068/b170395

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