The support of Earth Observation Systems to flood monitoring and damage assessment has been evaluated by integrating
skills and knowledge of hydrologists and experts on image processing. Detailed flood maps are generated from the
analysis of images pairs acquired by Cosmo-Skymed on the same area at different times. The adopted methodology
applies image pre-processing and segmentation techniques with a multi-temporal approach. After noise reduction by
despeckling, the user manually localizes few water points in one image. From selected points, segmentation distinguishes
the classes of flood, permanent-water and no-change areas. Then, an anisotropic scanning analyzes the images to define
its content. The resulting connected regions are converted into vectors to be entered as constraint for a Physically based
2-D hydraulic flood model. The model recursively varies the unknown boundary conditions to match at best the areas
extracted from Cosmo-Skymed. The product is a hydraulic consistent report of the flooded area including information on
water depth and velocities. By combining these information with vulnerability maps, extracted from optical satellite
images with a supervised approach, an estimation of the damage is provided. The reported results refer to the monitoring
of the flood event occurred in the Scutari Lake area (Albania, January 2010).
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