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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 21, issue 6
Hydrol. Earth Syst. Sci., 21, 2685–2700, 2017
https://doi.org/10.5194/hess-21-2685-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Observations and modeling of land surface water and energy...

Hydrol. Earth Syst. Sci., 21, 2685–2700, 2017
https://doi.org/10.5194/hess-21-2685-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 08 Jun 2017

Research article | 08 Jun 2017

A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval

Zeinab Takbiri et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (07 Feb 2017) by Matthew McCabe
AR by Zeinab Takbiri on behalf of the Authors (14 Mar 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (02 Apr 2017) by Matthew McCabe
RR by Anonymous Referee #1 (28 Apr 2017)
RR by Anonymous Referee #2 (05 May 2017)
ED: Publish as is (07 May 2017) by Matthew McCabe
Publications Copernicus
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Short summary
We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and temporal resolution. While visible bands provide flood mapping at fine spatial resolution, their capability is very limited in a cloudy sky. Passive microwaves can penetrate through clouds but cannot detect small-scale flooded surfaces due to their coarse resolution. The proposed method takes advantage of these two observations to retrieve sub-pixel flooded surfaces in all-sky conditions.
We present a multi-sensor retrieval algorithm for flood extent mapping at high spatial and...
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