Assessment and monitoring of urban areas for development requires high resolution tools to meet the needs of urban managers and decision makers . Available high resolution satellite data , such as Russian ( KVR-1000 ) , Landsat ( TM) and SPOT ( HVR-2 ) could provide adequate information that meet these needs . The objective of this paper is to examine the value of merging these high resolution satellite data to discriminate urban features in Cairo city . The merging of KVR-1000 image ( 5 m resolution ) from 1991 with TM multispectral data ( 30 m resolution ) from 1993 is examined . Also, the merging process is carried out for the KVR-1000 image with SPOT data ( 20 in resolution ) from 1986 . This type of merged data can be used effectively for periodical updating of urban maps. Merging of these types of data improves the interpretation and identification of urban features. The results for a site in Cairo city is dissussed. Generally , the merged high resolution KVR-1000 and SPOT on one hand and KVR-1000 and TM on the other hand , based on visual interpretation , gives very useful tool to discremenating and mapping various urban agglomeration , such as described in Nancy urban ecosystem agglomeration scheme.