Articles | Volume 21, issue 6
Hydrol. Earth Syst. Sci., 21, 2685–2700, 2017
https://doi.org/10.5194/hess-21-2685-2017

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

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.

Data sets

NRT global flood mapping NASA Goddard's Hydrology Laboratory https://floodmap.modaps.eosdis.nasa.gov/

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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.