Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1003-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1003-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Jul 2019
Data description paper |
| 08 Jul 2019
| 08 Jul 2019
Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing
Fenner School of Environment and Society, Australian National
University, Canberra, Australian Capital Territory, Australia
Albert I. J. M. van Dijk
Fenner School of Environment and Society, Australian National
University, Canberra, Australian Capital Territory, Australia
Luigi J. Renzullo
Fenner School of Environment and Society, Australian National
University, Canberra, Australian Capital Territory, Australia
Robert A. Vertessy
Fenner School of Environment and Society, Australian National
University, Canberra, Australian Capital Territory, Australia
School of Engineering, University of Melbourne, Melbourne, Victoria, Australia
Norman Mueller
Geoscience Australia, GPO Box 378, Canberra, Australian Capital
Territory, Australia
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- Hydrologic connectivity drives extremes and high variability in vegetation productivity across Australian arid and semi-arid ecosystems A. Norton et al. 10.1016/j.rse.2022.112937
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- Retrieving time series of river water extent from global inland water data sets O. Elmi & M. Tourian 10.1016/j.jhydrol.2022.128880
- Multi-mission virtual monitoring station for streamflow monitoring and hydrodynamic model calibration D. Sahoo et al. 10.1016/j.rsase.2024.101330
- 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
- Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers C. Cavallo et al. 10.1038/s41598-022-26034-z
- Determination of River Hydromorphological Features in Low-Land Rivers from Aerial Imagery and Direct Measurements Using Machine Learning Algorithms V. Akstinas et al. 10.3390/w14244114
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- Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database Q. Liu et al. 10.1016/j.jhydrol.2025.132849
- Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers G. Allen et al. 10.3390/rs12091510
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- Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015 J. Yang et al. 10.1016/j.rse.2020.111918
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22 citations as recorded by crossref.
- Remote sensing and GIS techniques to monitor morphological changes along the middle-lower Vistula river, Poland M. Nones 10.1080/15715124.2020.1742137
- How Have Global River Widths Changed Over Time? D. Feng et al. 10.1029/2021WR031712
- Hydrologic connectivity drives extremes and high variability in vegetation productivity across Australian arid and semi-arid ecosystems A. Norton et al. 10.1016/j.rse.2022.112937
- Global satellite-based river gauging and the influence of river morphology on its application J. Hou et al. 10.1016/j.rse.2019.111629
- Headwater streams and inland wetlands: Status and advancements of geospatial datasets and maps across the United States J. Christensen et al. 10.1016/j.earscirev.2022.104230
- Mechanically and accurately calculate river width in vegetation areas by coupling Sentinel-1 and -2 imageries within land-water-mixed pixels M. Li et al. 10.1016/j.jhydrol.2024.131913
- Biogeochemical and community ecology responses to the wetting of non-perennial streams A. Price et al. 10.1038/s44221-024-00298-3
- Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks S. Yu et al. 10.5194/hess-24-5279-2020
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. 10.5194/hess-25-5277-2021
- Non-perennial segments in river networks T. Datry et al. 10.1038/s43017-023-00495-w
- Retrieving time series of river water extent from global inland water data sets O. Elmi & M. Tourian 10.1016/j.jhydrol.2022.128880
- Multi-mission virtual monitoring station for streamflow monitoring and hydrodynamic model calibration D. Sahoo et al. 10.1016/j.rsase.2024.101330
- 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
- Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers C. Cavallo et al. 10.1038/s41598-022-26034-z
- Determination of River Hydromorphological Features in Low-Land Rivers from Aerial Imagery and Direct Measurements Using Machine Learning Algorithms V. Akstinas et al. 10.3390/w14244114
- A dynamic surface water extent service for Africa developed through continental-scale collaboration M. Halabisky et al. 10.3389/fenvs.2024.1251315
- Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database Q. Liu et al. 10.1016/j.jhydrol.2025.132849
- Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers G. Allen et al. 10.3390/rs12091510
- Small- to Medium-Sized Stream Waterbody Extraction Using Sentinel-1 Images Based on Shortest Plane Distance S. Kim & D. Kim 10.9798/KOSHAM.2022.22.6.363
- Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015 J. Yang et al. 10.1016/j.rse.2020.111918
- High-resolution satellite-derived river network map reveals small Arctic river hydrography X. Lu et al. 10.1088/1748-9326/abf463
- Quantification of Off-Channel Inundated Habitat for Pacific Chinook Salmon (Oncorhynchus tshawytscha) along the Sacramento River, California, Using Remote Sensing Imagery F. Bellido-Leiva et al. 10.3390/rs14061443
Latest update: 30 May 2025
Short summary
Hydromorphological data including temporal and spatial river width dynamics, flow regime, and river gradient for 1.4 x 106 Australian river reaches are presented. We propose a parameter which can be used to classify reaches by the degree to which flow regime tends towards permanent, frequent, intermittent, or ephemeral. This dataset provides fundamental information for understanding hydrological, biogeochemical, and ecological processes in floodplain–river systems.
Hydromorphological data including temporal and spatial river width dynamics, flow regime, and...
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