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Mega cities, the largest category of urban agglomerations, attract considerable attention because of their population size, economic, socio-cultural, environmental and political influence and geographical complexity. Until 1975 there were just three mega cities in the world: New York, Tokyo and Mexico City — today there are 27 cities having more than the defined 10million inhabitants. This paper presents a straight forward, application-oriented approach using multi-temporal remotely sensed data to systematically monitor the spatiotemporal dynamics of the world's urban giants. Object-oriented and pixel-based classification image analysis techniques are applied to Landsat as well as to TerraSAR-X data in order to define urbanized areas of the mega cities at different points of time. Subsequently post-classification change detection is performed on urban footprint level. With time intervals of about 10years almost …