This paper is intended to highlight the capabilities
of synergistic usage of remote sensing, landscape metrics and
gradient analysis. We aim to improve the understanding of
spatial characteristics and effects of urbanization on city level.
Multisensoral and multitemporal remotely sensed data sets
from the Landsat and TerraSAR-X sensor enable monitoring
a long time period with area-wide information on the spatial
urban expansion over time. Landscape metrics aim to quantify
patterns on urban footprint level complemented by gradient
analysis giving insight into the spatial developing of spatial
parameters from the urban center to the periphery. The
results paint a characteristic picture of the emerging spatial
urban patterns at mega city Cairo, Egypt since the 1970s