High and accelerating rate of the urban changes and extensions, in developing countries such as
Egypt, calls for an efficient and fast technique for mapping. The availability of the new generation
commercial one-meter resolution satellite images has opened a new era for producing and updating
large-scale digital maps. The main objective of this study is to evaluate the potential of VHR satellite
images for large scale mapping in Egypt. Data used in this study are IKONOS-2 images
(Panchromatic (1m) and Multispectral (4m)) acquired on 2006 and topographic map dated 2002 at
scale 1:5000 of Assiut area.
In this paper, an investigation is carried out for the potential of the information content in pansharpened
IKONOS image. Then, the classification process is carried out with object-based method.
The classified image has been converted to vector format. After that, an investigation is carried out
for these vectors through overlaid it to the available old map. The result showed that the information
content of IKONOS images has the capability of updating of 1: 5000 maps for good planned area,
while, that ability will be decreases with decreasing the degree of planning.