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 article
| 
08 Jul 2019
Data description article |
| 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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Total article views: 6,902 (including HTML, PDF, and XML)
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Cited
24 citations as recorded by crossref.
- Remote sensing and GIS techniques to monitor morphological changes along the middle-lower Vistula river, Poland M. Nones https://doi.org/10.1080/15715124.2020.1742137
- Hydrologic connectivity drives extremes and high variability in vegetation productivity across Australian arid and semi-arid ecosystems A. Norton et al. https://doi.org/10.1016/j.rse.2022.112937
- Global satellite-based river gauging and the influence of river morphology on its application J. Hou et al. https://doi.org/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. https://doi.org/10.1016/j.earscirev.2022.104230
- Evaluation of the river Padma morphological transition in the central Bangladesh using GIS and remote sensing techniques A. Halder & R. Mowla Chowdhury https://doi.org/10.1080/15715124.2021.1879095
- Biogeochemical and community ecology responses to the wetting of non-perennial streams A. Price et al. https://doi.org/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. https://doi.org/10.5194/hess-24-5279-2020
- Merging Landsat and airborne LiDAR observations for continuous monitoring of floodplain water extent, depth and volume J. Hou et al. https://doi.org/10.1016/j.jhydrol.2022.127684
- Determination of River Hydromorphological Features in Low-Land Rivers from Aerial Imagery and Direct Measurements Using Machine Learning Algorithms V. Akstinas et al. https://doi.org/10.3390/w14244114
- Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database Q. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.132849
- 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. https://doi.org/10.3390/rs14061443
- How Have Global River Widths Changed Over Time? D. Feng et al. https://doi.org/10.1029/2021WR031712
- Geo-Environmental Insights for Sustainable Development: Assessing the Most Southern Part of the Red Sea Coast, Saudi Arabia A. Alanazi https://doi.org/10.3390/su18168432
- 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. https://doi.org/10.1016/j.jhydrol.2024.131913
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. https://doi.org/10.5194/hess-25-5277-2021
- Non-perennial segments in river networks T. Datry et al. https://doi.org/10.1038/s43017-023-00495-w
- Retrieving time series of river water extent from global inland water data sets O. Elmi & M. Tourian https://doi.org/10.1016/j.jhydrol.2022.128880
- Multi-mission virtual monitoring station for streamflow monitoring and hydrodynamic model calibration D. Sahoo et al. https://doi.org/10.1016/j.rsase.2024.101330
- Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers C. Cavallo et al. https://doi.org/10.1038/s41598-022-26034-z
- A dynamic surface water extent service for Africa developed through continental-scale collaboration M. Halabisky et al. https://doi.org/10.3389/fenvs.2024.1251315
- Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers G. Allen et al. https://doi.org/10.3390/rs12091510
- Small- to Medium-Sized Stream Waterbody Extraction Using Sentinel-1 Images Based on Shortest Plane Distance S. Kim & D. Kim https://doi.org/10.9798/KOSHAM.2022.22.6.363
- Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015 J. Yang et al. https://doi.org/10.1016/j.rse.2020.111918
- High-resolution satellite-derived river network map reveals small Arctic river hydrography X. Lu et al. https://doi.org/10.1088/1748-9326/abf463
24 citations as recorded by crossref.
- Remote sensing and GIS techniques to monitor morphological changes along the middle-lower Vistula river, Poland M. Nones https://doi.org/10.1080/15715124.2020.1742137
- Hydrologic connectivity drives extremes and high variability in vegetation productivity across Australian arid and semi-arid ecosystems A. Norton et al. https://doi.org/10.1016/j.rse.2022.112937
- Global satellite-based river gauging and the influence of river morphology on its application J. Hou et al. https://doi.org/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. https://doi.org/10.1016/j.earscirev.2022.104230
- Evaluation of the river Padma morphological transition in the central Bangladesh using GIS and remote sensing techniques A. Halder & R. Mowla Chowdhury https://doi.org/10.1080/15715124.2021.1879095
- Biogeochemical and community ecology responses to the wetting of non-perennial streams A. Price et al. https://doi.org/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. https://doi.org/10.5194/hess-24-5279-2020
- Merging Landsat and airborne LiDAR observations for continuous monitoring of floodplain water extent, depth and volume J. Hou et al. https://doi.org/10.1016/j.jhydrol.2022.127684
- Determination of River Hydromorphological Features in Low-Land Rivers from Aerial Imagery and Direct Measurements Using Machine Learning Algorithms V. Akstinas et al. https://doi.org/10.3390/w14244114
- Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database Q. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.132849
- 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. https://doi.org/10.3390/rs14061443
- How Have Global River Widths Changed Over Time? D. Feng et al. https://doi.org/10.1029/2021WR031712
- Geo-Environmental Insights for Sustainable Development: Assessing the Most Southern Part of the Red Sea Coast, Saudi Arabia A. Alanazi https://doi.org/10.3390/su18168432
- 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. https://doi.org/10.1016/j.jhydrol.2024.131913
- Preface: Linking landscape organisation and hydrological functioning: from hypotheses and observations to concepts, models and understanding C. Jackisch et al. https://doi.org/10.5194/hess-25-5277-2021
- Non-perennial segments in river networks T. Datry et al. https://doi.org/10.1038/s43017-023-00495-w
- Retrieving time series of river water extent from global inland water data sets O. Elmi & M. Tourian https://doi.org/10.1016/j.jhydrol.2022.128880
- Multi-mission virtual monitoring station for streamflow monitoring and hydrodynamic model calibration D. Sahoo et al. https://doi.org/10.1016/j.rsase.2024.101330
- Exploiting Sentinel-2 dataset to assess flow intermittency in non-perennial rivers C. Cavallo et al. https://doi.org/10.1038/s41598-022-26034-z
- A dynamic surface water extent service for Africa developed through continental-scale collaboration M. Halabisky et al. https://doi.org/10.3389/fenvs.2024.1251315
- Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers G. Allen et al. https://doi.org/10.3390/rs12091510
- Small- to Medium-Sized Stream Waterbody Extraction Using Sentinel-1 Images Based on Shortest Plane Distance S. Kim & D. Kim https://doi.org/10.9798/KOSHAM.2022.22.6.363
- Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015 J. Yang et al. https://doi.org/10.1016/j.rse.2020.111918
- High-resolution satellite-derived river network map reveals small Arctic river hydrography X. Lu et al. https://doi.org/10.1088/1748-9326/abf463
Saved (final revised paper)
Latest update: 15 Sep 2026
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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