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Absfracf-The paper aims at investigating different classification and segmentation tools for flood monitoring using satellite S A R images. To this aim, two different approaches, namely statistical segmentation and neurofnzzy classification and compared and discussed. The methods show, in general, the possibility to provide to a good extent accurate maps of the flooded areas using simple processing schemes. This stresses the effectiveness of satellite S A R images for real-time flood monitoring. T. M a d Peliizzen, P. Lombard0 and A. Toaora are INFOCOM Ept. -University of Rome"La Sapienza", Via Eudossiana 18 ~ 00184 Rome, Italy University of via ~~~~t n I, 27100 pavia h i y (e.maii: All the images are in PRI or similar format (12.5 meter (e-mail: t.macn.pelli-n@infoeom.uniromal.it). P. Gamba and F. DelI'Ayua ace %th Depaameot of Electrooicsf.dell 'acqua@ele.unipv.il).

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