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.
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
Viewed
Total article views: 6,329 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Nov 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
4,450 | 1,666 | 213 | 6,329 | 145 | 156 |
- HTML: 4,450
- PDF: 1,666
- XML: 213
- Total: 6,329
- BibTeX: 145
- EndNote: 156
Total article views: 5,649 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Jun 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
4,139 | 1,317 | 193 | 5,649 | 136 | 140 |
- HTML: 4,139
- PDF: 1,317
- XML: 193
- Total: 5,649
- BibTeX: 136
- EndNote: 140
Total article views: 680 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 13 Nov 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
311 | 349 | 20 | 680 | 9 | 16 |
- HTML: 311
- PDF: 349
- XML: 20
- Total: 680
- BibTeX: 9
- EndNote: 16
Cited
37 citations as recorded by crossref.
- Quantifying and mapping inundation regimes within a large river‐floodplain ecosystem for ecological and management applications M. Van Appledorn et al. 10.1002/rra.3628
- Long-Term Surface Water Dynamics Analysis Based on Landsat Imagery and the Google Earth Engine Platform: A Case Study in the Middle Yangtze River Basin C. Wang et al. 10.3390/rs10101635
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
- Evaluation of a new 18-year MODIS-derived surface water fraction dataset for constructing Mediterranean wetland open surface water dynamics L. Li et al. 10.1016/j.jhydrol.2020.124956
- Time-series surface water reconstruction method (TSWR) based on spatial distance relationship of multi-stage water boundaries M. Li et al. 10.1080/17538947.2022.2159553
- 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
- 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
- Rapidly declining surface and terrestrial water resources in Central Asia driven by socio-economic and climatic changes W. Huang et al. 10.1016/j.scitotenv.2021.147193
- Retrieving dynamics of the surface water extent in the upper reach of Yellow River H. Zhou et al. 10.1016/j.scitotenv.2021.149348
- A Review of Coupled Hydrologic-Hydraulic Models for Floodplain Assessments in Africa: Opportunities and Challenges for Floodplain Wetland Management I. Chomba et al. 10.3390/hydrology8010044
- Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review P. Sogno et al. 10.3390/rs14102475
- Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data Z. Zhang et al. 10.1016/j.ecoinf.2022.101789
- A new dense 18-year time series of surface water fraction estimates from MODIS for the Mediterranean region L. Li et al. 10.5194/hess-23-3037-2019
- 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
- Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review C. Huang et al. 10.1029/2018RG000598
- 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
- Spatiotemporal patterns and effects of climate and land use on surface water extent dynamics in a dryland region with three decades of Landsat satellite data M. Tulbure & M. Broich 10.1016/j.scitotenv.2018.11.390
- 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
- How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions A. Sun & B. Scanlon 10.1088/1748-9326/ab1b7d
- Unraveling Long-Term Flood Risk Dynamics Across the Murray-Darling Basin Using a Large-Scale Hydraulic Model and Satellite Data S. Ceola et al. 10.3389/frwa.2021.797259
- 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
- Multitemporal image encoding for monitoring spatiotemporal variations of water bodies using Landsat 8 Operational Land Imager (OLI) data M. Jijón-Palma et al. 10.1117/1.JRS.14.034523
- Regional matters: On the usefulness of regional land‐cover datasets in times of global change M. Tulbure et al. 10.1002/rse2.248
- Evaluating static and dynamic landscape connectivity modelling using a 25-year remote sensing time series R. Bishop-Taylor et al. 10.1007/s10980-018-0624-1
- Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-arid region M. Tulbure et al. 10.1016/j.rse.2016.02.034
- Application of Machine Learning to Model Wetland Inundation Patterns Across a Large Semiarid Floodplain S. Shaeri Karimi et al. 10.1029/2019WR024884
- Quantifying Australia's dryland vegetation response to flooding and drought at sub-continental scale M. Broich et al. 10.1016/j.rse.2018.04.032
34 citations as recorded by crossref.
- Quantifying and mapping inundation regimes within a large river‐floodplain ecosystem for ecological and management applications M. Van Appledorn et al. 10.1002/rra.3628
- Long-Term Surface Water Dynamics Analysis Based on Landsat Imagery and the Google Earth Engine Platform: A Case Study in the Middle Yangtze River Basin C. Wang et al. 10.3390/rs10101635
- Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic‐Hydraulic Modeling of Floods S. Grimaldi et al. 10.1029/2018WR024289
- Evaluation of a new 18-year MODIS-derived surface water fraction dataset for constructing Mediterranean wetland open surface water dynamics L. Li et al. 10.1016/j.jhydrol.2020.124956
- Time-series surface water reconstruction method (TSWR) based on spatial distance relationship of multi-stage water boundaries M. Li et al. 10.1080/17538947.2022.2159553
- 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
- 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
- Rapidly declining surface and terrestrial water resources in Central Asia driven by socio-economic and climatic changes W. Huang et al. 10.1016/j.scitotenv.2021.147193
- Retrieving dynamics of the surface water extent in the upper reach of Yellow River H. Zhou et al. 10.1016/j.scitotenv.2021.149348
- A Review of Coupled Hydrologic-Hydraulic Models for Floodplain Assessments in Africa: Opportunities and Challenges for Floodplain Wetland Management I. Chomba et al. 10.3390/hydrology8010044
- Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review P. Sogno et al. 10.3390/rs14102475
- Spatiotemporal water dynamic modelling of Ramsar-listed lakes on the Victorian Volcanic Plains using Landsat, ICESat-2 and airborne LiDAR data Z. Zhang et al. 10.1016/j.ecoinf.2022.101789
- A new dense 18-year time series of surface water fraction estimates from MODIS for the Mediterranean region L. Li et al. 10.5194/hess-23-3037-2019
- 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
- Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review C. Huang et al. 10.1029/2018RG000598
- 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
- Spatiotemporal patterns and effects of climate and land use on surface water extent dynamics in a dryland region with three decades of Landsat satellite data M. Tulbure & M. Broich 10.1016/j.scitotenv.2018.11.390
- 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
- How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions A. Sun & B. Scanlon 10.1088/1748-9326/ab1b7d
- Unraveling Long-Term Flood Risk Dynamics Across the Murray-Darling Basin Using a Large-Scale Hydraulic Model and Satellite Data S. Ceola et al. 10.3389/frwa.2021.797259
- 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
- Multitemporal image encoding for monitoring spatiotemporal variations of water bodies using Landsat 8 Operational Land Imager (OLI) data M. Jijón-Palma et al. 10.1117/1.JRS.14.034523
- Regional matters: On the usefulness of regional land‐cover datasets in times of global change M. Tulbure et al. 10.1002/rse2.248
- Evaluating static and dynamic landscape connectivity modelling using a 25-year remote sensing time series R. Bishop-Taylor et al. 10.1007/s10980-018-0624-1
3 citations as recorded by crossref.
- Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-arid region M. Tulbure et al. 10.1016/j.rse.2016.02.034
- Application of Machine Learning to Model Wetland Inundation Patterns Across a Large Semiarid Floodplain S. Shaeri Karimi et al. 10.1029/2019WR024884
- Quantifying Australia's dryland vegetation response to flooding and drought at sub-continental scale M. Broich et al. 10.1016/j.rse.2018.04.032
Latest update: 21 Nov 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...