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. In the context of a study aiming at evaluating the usefulness of Earth Observation data for managing flood events, particularly focused on Cosmo-SkyMed, an algorithm to map flooded areas from synthetic aperture radar imagery has been developed. It employs also ancillary data as a land cover map and a digital elevation model. The approach is based on the fuzzy logic because such a theory allows us to exploit the theoretical knowledge about the radar return from inundated areas and to account for simple hydraulic considerations and contextual information
A fuzzy-logic-based approach for flood detection from Cosmo-SkyMed data / Pierdicca, Nazzareno; Pulvirenti, Luca; Marco, Chini; Leila, Guerriero; Paolo, Ferrazzoli. - (2010), pp. 4796-4798. (Intervento presentato al convegno 30th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) on Remote Sensing - Global Vision for Local Action tenutosi a Honolulu, HI nel JUN 25-30, 2010) [10.1109/igarss.2010.5650903].
A fuzzy-logic-based approach for flood detection from Cosmo-SkyMed data
PIERDICCA, Nazzareno;PULVIRENTI, Luca;
2010
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. In the context of a study aiming at evaluating the usefulness of Earth Observation data for managing flood events, particularly focused on Cosmo-SkyMed, an algorithm to map flooded areas from synthetic aperture radar imagery has been developed. It employs also ancillary data as a land cover map and a digital elevation model. The approach is based on the fuzzy logic because such a theory allows us to exploit the theoretical knowledge about the radar return from inundated areas and to account for simple hydraulic considerations and contextual informationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
