Remote sensing techniques become more important for temporal information describing the extent of land resources changes over time, especially in rapidly growing of urban areas. We have developed a methodology to monitor landcover/landuse changes using multitemporal Landsat images. The purpose of this research is to detect changes in landuse/landcover using Landsat satellite images during a period from 1987 up to 2003 for Aden governorate (in Republic of Yemen). Two Landsat images were used. The first one was captured on 1987 by landsat-5 (TM) and the second one was captured on 2003 by landsat-7 (ETM+). To achieve the changes in landcover/landuse different methods of change detection were used such as: Post classification comparison method, Image differencing method, Composite image method, and Normalize difference vegetation method. The objectives of the present study are to detect and map the changes in land use/landcover using multi temporal Landsat images. This study was applied on Aden governorate (Republic of Yemen), over the period 1987 up to 2003.