Advances in Geosciences
Advances in Geosciences
ADGEO
Articles | Volume 44
Articles | Volume 44
https://doi.org/10.5194/adgeo-44-89-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/adgeo-44-89-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 44
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

Viewed

Total article views: 2,912 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,651 1,114 147 2,912 151 219
  • HTML: 1,651
  • PDF: 1,114
  • XML: 147
  • Total: 2,912
  • BibTeX: 151
  • EndNote: 219
Views and downloads (calculated since 01 Nov 2017)
Cumulative views and downloads (calculated since 01 Nov 2017)

Viewed (geographical distribution)

Total article views: 2,910 (including HTML, PDF, and XML) Thereof 2,895 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 Apr 2026
Download
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.
Read more
Share
Special issue
Hydro-related hazardous events and their consequences in the...