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