Landscape changes identified from multitemporal land cover databases allow the detection of the changes of individual landscape elements with high spatio-temporal precision.

Ensemble classification is an emerging approach to land cover mapping whereby the final classification output is a result of a consensus of classifiers. Intuitively, an ensemble system should consist of base classifiers which are diverse i.e.