An evaluation of the potential of Sentinel 1 for improving flash flood predictions via soil moisture–data assimilation
The assimilation of satellite-derived soil moisture estimates (soil moisture–data assimilation, SM–DA) into hydrological models has the potential to reduce the uncertainty of streamflow simulations. The improved capacity to monitor the closeness to saturation of small catchments, such as those c...
Main Authors: | L. Cenci, L. Pulvirenti, G. Boni, M. Chini, P. Matgen, S. Gabellani, G. Squicciarino, N. Pierdicca |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-11-01
|
Series: | Advances in Geosciences |
Online Access: | https://www.adv-geosci.net/44/89/2017/adgeo-44-89-2017.pdf |
Similar Items
-
Defining a Trade-off Between Spatial and Temporal Resolution of a Geosynchronous SAR Mission for Soil Moisture Monitoring
by: Luca Cenci, et al.
Published: (2018-12-01) -
General calibration methodology for a combined Horton-SCS infiltration scheme in flash flood modeling
by: S. Gabellani, et al.
Published: (2008-12-01) -
Impact of ASAR soil moisture data on the MM5 precipitation forecast for the Tanaro flood event of April 2009
by: G. Panegrossi, et al.
Published: (2011-12-01) -
An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic
by: L. Pulvirenti, et al.
Published: (2011-02-01) -
A Tool for Pre-Operational Daily Mapping of Floods and Per-Manent Water Using Sentinel-1 Data
by: Luca Pulvirenti, et al.
Published: (2021-04-01)