الفهرس 
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Abstract
Cities and villages in Egypt are subjected to rapid growth. Growth can be
beneficial economically, but it also has significant effects on the environment, and if
it is left unchecked can have negative impacts. Rapid population increase led to
replace agriculture by new buildings, roads and highways. In Egypt, cities and
villages are usually surrounded by agricultural areas. The changes are in particularly
harmful when urban expansion occurs against surrounding agricultural areas. So the
expansion of cities and villages must be monitored.
Recent developments in remote sensing enable us to use high resolution satellite
images for different purposes. One of the main applications for remotely sensed data
is the production of large-scale topographic maps and map revisions, for which it is
necessary to detect and extract features from such imagery. High resolution space
images available now from IKONOS and Quick Bird do have a resolution which is
partially in competition to aerial images. This thesis presents an evaluation of using
IKONOS satellite images for large scale mapping purpose. This evaluation is mainly
based on two elements, the first is geometric potential and the second is the
information contents.
The results of this study show that correcting IKONOS imagery using one or two
Ground Control Points (GCPs) gives about 1.6m horizontal accuracy, higher
accuracy can be obtained using more GCPs. The feature extraction is performed by
manual on screen digitizing. The results are verified against a 1:25000 topographic
map, features such as roads and water canals can be extracted with about 70-99% accuracy.