Monitoring flood evolution in agricultural areas using COSMO-SkyMed data: analysis of the Tuscany inundation of December 2009

Luca Pulvirenti; Nazzareno Pierdicca; Marco Chini; Leila Guerriero

doi:10.1117/12.898209

26 October 2011 Monitoring flood evolution in agricultural areas using COSMO-SkyMed data: analysis of the Tuscany inundation of December 2009

Luca Pulvirenti, Nazzareno Pierdicca, Marco Chini, Leila Guerriero

Author Affiliations +

Proceedings Volume 8179, SAR Image Analysis, Modeling, and Techniques XI; 81790I (2011) https://doi.org/10.1117/12.898209
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

Synthetic Aperture Radar (SAR) systems represent the most powerful tool to monitor flood events because of their all-weather capability that allows them to collect suitable images even in cloudy conditions. The quality of the flood monitoring using SAR is increasing thanks to the improved spatial resolution of the new generation of instruments and to the short revisit time of the present and future satellite constellations. To fully exploit these technological advances, the methods to interpret images and produce flood maps must be upgraded, so that an accurate interpretation of the multitemporal radar signature, accounting for system parameters (frequency, polarization, incidence angle) and land cover, becomes very important. The images collected by the COSMO-SkyMed constellation of X-band radars represent an example of the aforesaid technological advances. This paper presents a case study regarding a flood occurred in Tuscany (Central Italy) in 2009 monitored using COSMO-SkyMed data. It is shown that the interpretation of the radar data is not straightforward, especially in the presence of vegetation and should rely on the knowledge about the radar scattering mechanisms implemented into electromagnetic models. The paper discusses the multitemporal radar signatures observed during the event and describes the approach we have followed to account for the electromagnetic background into a semi-automatic data processing system.

Citation Download Citation

Luca Pulvirenti, Nazzareno Pierdicca, Marco Chini, and Leila Guerriero "Monitoring flood evolution in agricultural areas using COSMO-SkyMed data: analysis of the Tuscany inundation of December 2009", Proc. SPIE 8179, SAR Image Analysis, Modeling, and Techniques XI, 81790I (26 October 2011); https://doi.org/10.1117/12.898209

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KEYWORDS

Floods

Synthetic aperture radar

Radar

Image segmentation

Vegetation

Backscatter

MODIS

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