Articles | Volume 44
https://doi.org/10.5194/adgeo-44-89-2017
https://doi.org/10.5194/adgeo-44-89-2017
01 Nov 2017
 | 01 Nov 2017

An evaluation of the potential of Sentinel 1 for improving flash flood predictions via soil moisture–data assimilation

Luca Cenci, Luca Pulvirenti, Giorgio Boni, Marco Chini, Patrick Matgen, Simone Gabellani, Giuseppe Squicciarino, and Nazzareno Pierdicca

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Cited articles

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Short summary
This research aims at improving hydrological modelling skills of flash flood prediction by exploiting earth observation data. To this aim, high spatial/moderate temporal resolution soil moisture maps, derived from Sentinel 1 acquisitions, were used in a data assimilation framework. Findings revealed the potential of Sentinel 1-based soil moisture data assimilation for flash flood risk reduction and improved our understanding of the capabilities of the aforementioned satellite-derived product.