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.
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.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
School of Biological, Earth & Environmental Sciences,
University of New South Wales, Sydney, NSW 2052, Australia
Mirela G. Tulbure
School of Biological, Earth & Environmental Sciences,
University of New South Wales, Sydney, NSW 2052, Australia
Mark Broich
School of Biological, Earth & Environmental Sciences,
University of New South Wales, Sydney, NSW 2052, Australia
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Cited
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- Addressing spatio-temporal resolution constraints in Landsat and MODIS-based mapping of large-scale floodplain inundation dynamics V. Heimhuber et al. 10.1016/j.rse.2018.04.016
- Integrating Remote Sensing and Numerical Modeling to Quantify the Water Balance of Climate‐Induced Intermittent Wetlands S. Chen et al. 10.1029/2020WR029310
- Multi-temporal remote sensing of inland surface waters: A fusion of sentinel-1&2 data applied to small seasonal ponds in semiarid environments F. Valerio et al. 10.1016/j.jag.2024.104283
- Time-series surface water gap filling based on spatiotemporal neighbourhood similarity B. Bai et al. 10.1016/j.jag.2022.102882
- Mapping water bodies under cloud cover using remotely sensed optical images and a spatiotemporal dependence model X. Li et al. 10.1016/j.jag.2021.102470
- Integrating Water Observation from Space Product and Time-Series Flow Data for Modeling Spatio-Temporal Flood Inundation Dynamics C. Huang et al. 10.3390/rs11212535
- Merging Landsat and airborne LiDAR observations for continuous monitoring of floodplain water extent, depth and volume J. Hou et al. 10.1016/j.jhydrol.2022.127684
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- Monitoring the dynamics of surface water fraction from MODIS time series in a Mediterranean environment L. Li et al. 10.1016/j.jag.2017.11.007
- Impact of hydroclimatic variability on regional-scale landscape connectivity across a dynamic dryland region R. Bishop-Taylor et al. 10.1016/j.ecolind.2017.07.029
- Empirical evaluation of two-dimensional unsteady hydraulic models for applications in floodplain forest ecology M. Van Appledorn et al. 10.1080/02723646.2019.1676186
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- Assessing the contribution of hydrologic and climatic factors on vegetation condition changes in semi-arid wetlands: An analysis for the Narran Lakes M. Liu et al. 10.1016/j.ecolmodel.2023.110568
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- Modeling multidecadal surface water inundation dynamics and key drivers on large river basin scale using multiple time series of Earth‐observation and river flow data V. Heimhuber et al. 10.1002/2016WR019858
- Gainers and losers of surface and terrestrial water resources in China during 1989–2016 X. Wang et al. 10.1038/s41467-020-17103-w
- A Review of Earth Observation-Based Analyses for Major River Basins S. Uereyen & C. Kuenzer 10.3390/rs11242951
- Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone? M. Tulbure et al. 10.1016/j.isprsjprs.2022.01.021
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- Spatio-temporal characterization of surface water dynamics with Landsat in endorheic Cuvelai-Etosha Basin (1990–2021) E. Hamunyela et al. 10.1016/j.isprsjprs.2022.07.007
- Justin Costelloe: a champion of arid-zone water research A. Western et al. 10.1007/s10040-019-02051-7
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Latest update: 14 Dec 2024
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.
We statistically modeled surface water extent (SWE) and inundation dynamics from a unique...
