In the last three decades, the technologies and methods belonging to satellite sensor data have evolved to include a wide range of imaging scales with potential interest and importance to many disciplines. Satellite sensor imagery for land cover/use and its changes is a key to various applications such as urban changes, environment, forestry, agriculture, hydrology, geomorphology and geology, disaster management etc. Satellite sensor imagery data provides very important information in determining changes land use/cover changes in urban/suburban areas. In this research, SPOT 4 panchromatic image belonging to 1992 and Landsat 5 TM multispectral image belonging to 2011 were analyzed to determine the land cover/use changes in a part of Istanbul metropolitan area. Data fusion was applied to images for taking the advantage of high spatial resolution property of SPOT 4 panchromatic image combined with high spectral and radiometric resolution of Landsat 5 TM multispectral image. Gram - Schmidt spectral sharpening algorithm was used for data fusion process which uses all bands of the multispectral image as information in merging. Then, fused image was classified to determine the changes in land cover/use rapidly. Results showed that fusion of the recent date and up to date images provided reliable data for change detection. Especially for this study, land cover/use changes in metropolitan area was detected accurately.