DocumentCode :
3107655
Title :
Multi-temporal segmentation of Cosmo-SkyMed SAR data for flood monitoring
Author :
Chini, Marco ; Pulvirenti, Luca ; Pierdicca, Nazzareno ; Guerriero, Leila
Author_Institution :
Ist. Naz. di Geofisica e Vulcanologia, Rome, Italy
fYear :
2011
fDate :
11-13 April 2011
Firstpage :
281
Lastpage :
284
Abstract :
The short revisit time that characterizes the COSMO-SkyMed mission makes possible the analysis of the evolution of flooding events from satellite radar data. A procedure to monitor an inundation event using multi-temporal COSMO-SkyMed imagery is presented in this paper. The dataset consists of five COSMO-SkyMed observations of a flood event occurred in Northern Italy in 2009. The procedure is principally based on an image segmentation technique, which allows identifying homogeneous regions in order to extract a reliable backscattering value, and on the use of an electromagnetic model to interpret the radar return from the image segments. The results demonstrate the potential and the utility of such a combined use of an electromagnetic scattering model and a segmentation algorithm for inundation monitoring.
Keywords :
backscatter; data analysis; floods; geophysical image processing; hydrological techniques; image segmentation; synthetic aperture radar; AD 2009; COSMO-SkyMed mission; Cosmo-SkyMed SAR data; Northern Italy; electromagnetic scattering model; flood event observation; flood monitoring; homogeneous region; image segmentation algorithm; image segmentation technique; multitemporal segmentation; satellite radar data analysis; Backscatter; Floods; Image segmentation; Pixel; Radar imaging; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
Type :
conf
DOI :
10.1109/JURSE.2011.5764774
Filename :
5764774
Link To Document :
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