Articles | Volume 20, issue 6
Hydrol. Earth Syst. Sci., 20, 2227–2250, 2016
Hydrol. Earth Syst. Sci., 20, 2227–2250, 2016

Research article 10 Jun 2016

Research article | 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 et al.

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Cited articles

Aksoy, H., Unal, N. E., Eris, E., and Yuce, M. I.: Stochastic modeling of Lake Van water level time series with jumps and multiple trends, Hydrol. Earth Syst. Sci., 17, 2297–2303,, 2013.
Alfons, A.: cvTools: Cross-validation tools for regression models, R package version 0.3.2., available at:, last access: 12 May 2016, 2012.
Alsdorf, D. E., Rodríguez, E., and Lettenmaier, D. P.: Measuring Surface Water from Space, Rev. Geophys, 45, 1–24,, 2007.
Arlot, S. and Celisse, A.: A survey of cross-validation procedures for model selection, Stat. Surv., 4, 40–79,, 2010.
Baker, C., Lawrence, R., Montagne, C., and Patten, D.: Change detection of Wetland ecosystems using Landsat Imagery and change vector analysis, Wetlands, 27, 610–619,[610:CDOWEU]2.0.CO;2, 2007.
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.