Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 21, issue 6
Articles | Volume 21, issue 6
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:
https://doi.org/10.5194/hess-21-2685-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
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

Viewed

Total article views: 3,051 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,916 1,021 114 3,051 100 130
  • HTML: 1,916
  • PDF: 1,021
  • XML: 114
  • Total: 3,051
  • BibTeX: 100
  • EndNote: 130
Views and downloads (calculated since 01 Nov 2016)
Cumulative views and downloads (calculated since 01 Nov 2016)

Viewed (geographical distribution)

Total article views: 3,051 (including HTML, PDF, and XML) Thereof 2,946 with geography defined and 105 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Sep 2025
Download
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.
Read more
Share
Special issue
Observations and modeling of land surface water and energy...