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Multisensor systems and flood risk management. Application to the Danube Delta using radar and hyperspectral imagery

Abstract : At the beginning of the 21st century, flood risk still represents a major world threat ( 60% of natural disasters are initiated by storms ) and the climate warming might even accentuate this phenomenon in the future. In Europe, despite all the policies in place and the measures taken during the past decades, large floods have occurred almost every year. The news regularly confirms this reality and the serious threat posed by flood risks in Europe. This paper presents an application to the Danube Delta exploiting radar imagery ENVISAT/ASAR and hyperspectral imagery CHRIS/PROBA for mapping flooded and floodable areas during the events of spring 2006. The uses of multisensor systems, such as radar and hyperspectral imagers, contribute to a better comprehension of floods in this wetland, their impacts, and risk management and sustainable development in the delta. In the section Risk management, this paper approaches the methodological aspects related to the characterization of the flood hazard whereas in the section Forecasting we will focus on the knowledge and modeling of the Land cover. The method of kernels, particularly adapted to the highlighting of the special-temporal variations - Support Vector Machine - and the methods based on the principle of the vague logic ( object-oriented classifications ) will be implemented so as to obtain the information plan of the spatial data.
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Submitted on : Tuesday, June 21, 2011 - 6:18:33 PM
Last modification on : Saturday, October 22, 2022 - 5:17:22 AM
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  • HAL Id : hal-00602215, version 1


Simona Niculescu, Cédric Lardeux, Fabio Güttler, Jean-Paul Rudant. Multisensor systems and flood risk management. Application to the Danube Delta using radar and hyperspectral imagery. Teledetection, 2010, 9 (3-4), pp.271-288. ⟨hal-00602215⟩



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