Articles | Volume 21, issue 6
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, Ardeshir M. Ebtehaj, and Efi Foufoula-Georgiou


Interactive discussion

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
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.