Knowledge Based Image Information Mining System-KIM used for flooding and other risk assessments

Nowadays the Earth Observation sensors provide images containing detailed information relevant for applications related to hazard or security matters. Unfortunately, the process of EO image analysis, interpretation and transformation in products useful to the rescue or decision teams is still a laborious task, effectuated many times by visual inspection and manual annotations of the images, thus not appropriate to react in prerequisite time. This papers presents alternative solutions based on the use of Knowledge based Image Information Mining (KIM) system as a tool, which by interactive operations, enables analysis and interpretation of large volumes of images with high accuracy, flexibility and incomparably much faster than any existing methods. Several scenarios are demonstrated: floods location in the remote sensing images from South-Western Romania and risk assessment in demining