A model-based approach for mapping floods using Cosmo-SkyMed data

Luca Pulvirenti; Marco Chini; Laura Candela; Leila Guerriero; Nazzareno Pierdicca

doi:10.1117/12.830427

29 September 2009 A model-based approach for mapping floods using Cosmo-SkyMed data

Luca Pulvirenti, Marco Chini, Laura Candela, Leila Guerriero, Nazzareno Pierdicca

Proceedings Volume 7477, Image and Signal Processing for Remote Sensing XV; 74771O (2009) https://doi.org/10.1117/12.830427
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

The COSMO-SkyMed mission offers a unique opportunity to obtain radar images useful for flood mapping, being characterized by high revisit time, thanks to the four satellites that form its constellation. To study the potentiality of Cosmo-SkyMed radar data for this purpose, two inundation events are analyzed in this paper, namely the flood occurred in Myanmar in May 2008 and the event that took place in the city of Alessandria (Northern Italy) in April 2009. For the first event, two radar images were considered, one temporally close to the peak of the event, and the other one that was acquired one week later. As for the Alessandria overflow, a time series of images was available. While most of the literature algorithms are based on fixed thresholds applied on an image temporarily close to the event, our method accounts both for specular reflection, typical bare flooded soils, and for double bounce backscattering often occurring on forested and urban inundated areas. Such a model-based approach is expected to improve the accuracy of flood mapping.

Citation Download Citation

Luca Pulvirenti, Marco Chini, Laura Candela, Leila Guerriero, and Nazzareno Pierdicca "A model-based approach for mapping floods using Cosmo-SkyMed data", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 74771O (29 September 2009); https://doi.org/10.1117/12.830427

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KEYWORDS

Floods

Radar

Synthetic aperture radar

Backscatter

Associative arrays

Data modeling

Model-based design

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