An object-based approach to integrate remotely sensed data within a GIS context for land use changes detection at urban-rural fringe areas

An object-based approach for land use change detection at urban-rural fringe areas has been built and implemented in this research. This approach was used to generate knowledge from a) thematic data: historical land use, slope, and contour data, b) land cover and land use data produced from the Landsat TM data, and c) image texture measurements: correlation and entropy. The generated knowledge was then used to provide evidence for inferring land use changes. Results obtained from the research area, namely the Tameside District, shows this approach has successfully identified land use object changing from agricultural land use to a mixture of residential and agricultural land use.