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Ajmar, A; Albanese, A; Disabato, F; Miotto, F (2012). Integration of satellite and rainfall data for the identification of flood events in developing countries. ITALIAN JOURNAL OF REMOTE SENSING-RIVISTA ITALIANA DI TELERILEVAMENTO, 44(1), 167-180.

The aim of the study is to identify flood events by comparing and integrating two methodologies based on different principles: the first is based on the identification of precipitation anomalies by the means of the analysis of pluviometric data, the second is focused on the analysis on remote sensed data for the detection of ground effects of flood events. Precipitation data were analysed for identifying and classifying events. MODIS archive images were classified in order to derive flood extents. This study is a preliminary stage aimed at the production of scenarios for flood events, in order to provide information in real-time in support of WFP emergency activity.



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