22 October 2010 Flooded areas assessment by integrating hydraulic flood analysis to the detailed flood maps generated with a multi-temporal image segmentation approach using Cosmo-Skymed
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Abstract
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).
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Boni, G. Boni, E. Angiati, E. Angiati, L. Candela, L. Candela, S. Dellepiane, S. Dellepiane, G. Macchiavello, G. Macchiavello, R. Rudari, R. Rudari, } "Flooded areas assessment by integrating hydraulic flood analysis to the detailed flood maps generated with a multi-temporal image segmentation approach using Cosmo-Skymed", Proc. SPIE 7829, SAR Image Analysis, Modeling, and Techniques X, 78290E (22 October 2010); doi: 10.1117/12.868294; https://doi.org/10.1117/12.868294
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