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Proceedings Paper

Flooded areas assessment by integrating hydraulic flood analysis to the detailed flood maps generated with a multi-temporal image segmentation approach using Cosmo-Skymed
Author(s): G. Boni; E. Angiati; L. Candela; S. Dellepiane; G. Macchiavello; R. Rudari
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Paper 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).

Paper Details

Date Published: 22 October 2010
PDF: 9 pages
Proc. SPIE 7829, SAR Image Analysis, Modeling, and Techniques X, 78290E (22 October 2010); doi: 10.1117/12.868294
Show Author Affiliations
G. Boni, CIMA Research Foundation (Italy)
E. Angiati, Univ. degli Studi di Genova (Italy)
L. Candela, Agenzia Spaziale Italiana (Italy)
S. Dellepiane, Univ. degli Studi di Genova (Italy)
G. Macchiavello, CIMA Research Foundation (Italy)
R. Rudari, CIMA Research Foundation (Italy)

Published in SPIE Proceedings Vol. 7829:
SAR Image Analysis, Modeling, and Techniques X
Claudia Notarnicola, Editor(s)

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