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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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Cited articles

Alharthi, A. and Lange, J.: Soil water saturation: Dielectric determination, Water Resour. Res., 23, 591–595, https://doi.org/10.1029/WR023i004p00591, 1987.
Allison, L. J., Schmugge, T. J., and Byrne, G.: A hydrological analysis of East Australian floods using Nimbus-5 electrically scanning radiometer data, B. Am. Meteorol. Soc., 60, 1414–1427, https://doi.org/10.1175/1520-0477(1979)060<1414:AHAOEA>2.0.CO;2, 1979.
Armstrong, R. L. and Brodzik, M. J.: An earth-gridded SSM/I data set for cryospheric studies and global change monitoring, Adv. Space Res., 16, 155–163, https://doi.org/10.1016/0273-1177(95)00397-W, 1995.
Basist, A., Grody, N. C., Peterson, T. C., and Williams, C. N.: Using the Special Sensor Microwave/Imager to Monitor Land Surface Temperatures, Wetness, and Snow Cover, J. Appl. Meteorol., 37, 888–911, https://doi.org/10.1175/1520-0450(1998)037<0888:UTSSMI>2.0.CO;2, 1998.
Brakenridge, G. R. and Anderson, E.: MODIS-based flood detection mapping and measurement: The potential for operational hydrological applications, in: Transboundary Floods: Reducing Risks Through Flood Management, edited by: Marsalek, J., Stancalie, G., and Balint, G., Nato Science Series: IV: Earth and Environmental Sciences, 72, Springer, Dordrecht, 2006.
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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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