Modeling 25 years of spatio-temporal surface water and inundation dynamics  on large river basin scale using time series of Earth observation data

Heimhuber, Valentin; Tulbure, Mirela G.; Broich, Mark

doi:https://doi.org/10.5194/hess-20-2227-2016

Articles | Volume 20, issue 6

https://doi.org/10.5194/hess-20-2227-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-2227-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 6

Research article

| Highlight paper

|

10 Jun 2016

Research article | Highlight paper |

| 10 Jun 2016

Modeling 25 years of spatio-temporal surface water and inundation dynamics on large river basin scale using time series of Earth observation data

Valentin Heimhuber, Mirela G. Tulbure, and Mark Broich

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Final revised paper (published on 10 Jun 2016)
Preprint (discussion started on 13 Nov 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C5885: 'review comments', Anonymous Referee #1, 02 Jan 2016
- AC C6642: 'Response to Reviewer #1', Valentin Heimhuber, 08 Feb 2016
RC C6140: 'Minor Revisions -- Nice contribution', Anonymous Referee #2, 14 Jan 2016
- AC C6643: 'Response to Reviewer #2', Valentin Heimhuber, 08 Feb 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish as is (11 Apr 2016) by Jim Freer

AR by Valentin Heimhuber on behalf of the Authors (26 Apr 2016)

Short summary

We statistically modeled surface water extent (SWE) and inundation dynamics from a unique Landsat-based time series (1986–2011) for Australia's Murray–Darling Basin as a function of river flow and spatially explicit time series of rainfall, evapotranspiration and soil moisture. We present a data-driven and transferable approach that allowed us to model SWE through periods of flooding and drying for 363 floodplain units and to identify local combinations of variables that drive SWE dynamics.