It is an important aspect for remote sensing applications to detect the changes of urban or regional land cover/ land use and ecological environment using multi-platform images. Integrated remote sensing data processing techniques associated with land cover change detection were explored based on Landsat 5 TM and SPOT Pan in Xiamen City, which time of interest spanned 10 years from 1988 to 1998. In data processing algorithm, a new integrated change detection procedure was characterized, which combined a classical post-classification and an improved band- to -band image differencing approaches. Therein the change transform matrix of land cover educed from post-classification comparison serviced as elementary result, and image differencing was applied to modify it through defining the “changed” objects. Based on the detected land cover changes, the land use change patterns and quantities were depicted and amalgamated in formative mechanism according to consistent rule between pre-changed and post-changed objects. The changed detection statistics indicated that, the changed land cover area and land use area induced by urbanization in Xiamen City were added up to 590.83 km2 and 351.99 km2 respectively during past 10 years from 1988 and 1998. The two change strengths were accounted for 31.14% and 18.55% of the total territory area (including land and in shore) of Xiamen. The change patterns boiled down to 8 main types, such as cultivated land to garden plot and forest, new cultivated land development, construction land engrossing cultivated land.