Articles | Volume 22, issue 12
https://doi.org/10.5194/hess-22-6435-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-6435-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Dec 2018
Research article |
| 11 Dec 2018
| 11 Dec 2018
Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin
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
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Total article views: 2,455 (including HTML, PDF, and XML)
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Cited
22 citations as recorded by crossref.
- GloLakes: water storage dynamics for 27 000 lakes globally from 1984 to present derived from satellite altimetry and optical imaging J. Hou et al. 10.5194/essd-16-201-2024
- RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat R. Riggs et al. 10.1016/j.envsoft.2021.105254
- Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015 J. Yang et al. 10.1016/j.rse.2020.111918
- Forests as ‘sponges’ and ‘pumps’: Assessing the impact of deforestation on dry-season flows across the tropics J. Peña-Arancibia et al. 10.1016/j.jhydrol.2019.04.064
- Passive Microwave Radiometry at Different Frequency Bands for River Discharge Retrievals G. Brakenridge et al. 10.1029/2023EA002859
- Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing J. Hou et al. 10.5194/essd-11-1003-2019
- The effects of climate and forest cover variability on the hydrological regulation of an eastern Andean Cusiana river sub-basin M. Bedoya & B. Ramírez 10.1016/j.ecohyd.2023.06.012
- Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review P. Sogno et al. 10.3390/rs14102475
- Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at a global scale J. Hou et al. 10.5194/hess-26-3785-2022
- Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
- Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review E. Ellis et al. 10.1002/wat2.1725
- Near-daily discharge estimation in high latitudes from Sentinel-1 and 2: A case study for the Icelandic Þjórsá river J. Brombacher et al. 10.1016/j.rse.2020.111684
- Improving river medium–high flow estimation by CM Hierarchical Classification (CMHC) method using Sentinel-2 imagery T. Wu et al. 10.1016/j.jhydrol.2024.130990
- River Flow Monitoring by Sentinel-3 OLCI and MODIS: Comparison and Combination A. Tarpanelli et al. 10.3390/rs12233867
- River body extraction from sentinel-2A/B MSI images based on an adaptive multi-scale region growth method S. Jin et al. 10.1016/j.rse.2021.112297
- Global satellite-based river gauging and the influence of river morphology on its application J. Hou et al. 10.1016/j.rse.2019.111629
- Monitoring Discharge in Vegetated Floodplains: A Case Study of the Piave River V. Herrera Gómez et al. 10.3390/w15193470
- Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
- The Role of Floodplain Topography in Deriving Basin Discharge Using Passive Microwave Remote Sensing S. Kim & A. Sharma 10.1029/2018WR023627
- A Review of Earth Observation-Based Analyses for Major River Basins S. Uereyen & C. Kuenzer 10.3390/rs11242951
- Discharge Estimation Using Harmonized Landsat and Sentinel-2 Product: Case Studies in the Murray Darling Basin Z. Shi et al. 10.3390/rs12172810
- The Influence of River Morphology on the Remote Sensing Based Discharge Estimation: Implications for Satellite Virtual Gauge Establishment Z. Shi et al. 10.3390/w14233854
22 citations as recorded by crossref.
- GloLakes: water storage dynamics for 27 000 lakes globally from 1984 to present derived from satellite altimetry and optical imaging J. Hou et al. 10.5194/essd-16-201-2024
- RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat R. Riggs et al. 10.1016/j.envsoft.2021.105254
- Satellite-derived river width and its spatiotemporal patterns in China during 1990–2015 J. Yang et al. 10.1016/j.rse.2020.111918
- Forests as ‘sponges’ and ‘pumps’: Assessing the impact of deforestation on dry-season flows across the tropics J. Peña-Arancibia et al. 10.1016/j.jhydrol.2019.04.064
- Passive Microwave Radiometry at Different Frequency Bands for River Discharge Retrievals G. Brakenridge et al. 10.1029/2023EA002859
- Hydromorphological attributes for all Australian river reaches derived from Landsat dynamic inundation remote sensing J. Hou et al. 10.5194/essd-11-1003-2019
- The effects of climate and forest cover variability on the hydrological regulation of an eastern Andean Cusiana river sub-basin M. Bedoya & B. Ramírez 10.1016/j.ecohyd.2023.06.012
- Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review P. Sogno et al. 10.3390/rs14102475
- Remotely sensed reservoir water storage dynamics (1984–2015) and the influence of climate variability and management at a global scale J. Hou et al. 10.5194/hess-26-3785-2022
- Extending global river gauge records using satellite observations R. Riggs et al. 10.1088/1748-9326/acd407
- Bridging the divide between inland water quantity and quality with satellite remote sensing: An interdisciplinary review E. Ellis et al. 10.1002/wat2.1725
- Near-daily discharge estimation in high latitudes from Sentinel-1 and 2: A case study for the Icelandic Þjórsá river J. Brombacher et al. 10.1016/j.rse.2020.111684
- Improving river medium–high flow estimation by CM Hierarchical Classification (CMHC) method using Sentinel-2 imagery T. Wu et al. 10.1016/j.jhydrol.2024.130990
- River Flow Monitoring by Sentinel-3 OLCI and MODIS: Comparison and Combination A. Tarpanelli et al. 10.3390/rs12233867
- River body extraction from sentinel-2A/B MSI images based on an adaptive multi-scale region growth method S. Jin et al. 10.1016/j.rse.2021.112297
- Global satellite-based river gauging and the influence of river morphology on its application J. Hou et al. 10.1016/j.rse.2019.111629
- Monitoring Discharge in Vegetated Floodplains: A Case Study of the Piave River V. Herrera Gómez et al. 10.3390/w15193470
- Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region P. Hulsman et al. 10.5194/hess-24-3331-2020
- The Role of Floodplain Topography in Deriving Basin Discharge Using Passive Microwave Remote Sensing S. Kim & A. Sharma 10.1029/2018WR023627
- A Review of Earth Observation-Based Analyses for Major River Basins S. Uereyen & C. Kuenzer 10.3390/rs11242951
- Discharge Estimation Using Harmonized Landsat and Sentinel-2 Product: Case Studies in the Murray Darling Basin Z. Shi et al. 10.3390/rs12172810
- The Influence of River Morphology on the Remote Sensing Based Discharge Estimation: Implications for Satellite Virtual Gauge Establishment Z. Shi et al. 10.3390/w14233854
Discussed (final revised paper)
Latest update: 07 May 2024
Short summary
Satellite-based river gauging can be constructed based on remote-sensing-derived surface water extent and modelled discharge, and used to estimate river discharges with satellite observations only. This provides opportunities for monitoring river discharge in the absence of a real-time hydrological model or gauging stations.
Satellite-based river gauging can be constructed based on remote-sensing-derived surface water...
