Modern computer technologies provide better than ever before opportunities for storage, management, visualization, and analysis of dynamic, i.e. temporally variable, data, including dynamic spatial data (further referred to as spatio-temporal data). Researchers utilize these opportunities in designing new techniques and developing software tools to support visual analysis of spatio-temporal data, for example to identify events and existential changes.
You should provide a systematic overview of existing approaches in scientific literature that use visual analytics methods to explore aerial images over time and identify changes.
(This topic may be extended for a project or master thesis, including the design, implementation, and evaluation of an interactive research prototype.)
Starting point: N. Andrienko, G. Andrienko, P. Gatalsky, Exploratory spatio-temporal visualization: an analytical review, Journal of Visual Languages & Computing, Volume 14, Issue 6, December 2003, Pages 503-541