Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1011-2023
© Author(s) 2023. 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-27-1011-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Mar 2023
Research article |
| 06 Mar 2023
| 06 Mar 2023
River hydraulic modeling with ICESat-2 land and water surface elevation
Department of Environmental and Resource Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Sino-Danish College, University of Chinese Academy of Sciences,
Beijing 100049, China
Suxia Liu
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Chaoyang district, Beijing, China
Sino-Danish College, University of Chinese Academy of Sciences,
Beijing 100049, China
Xingguo Mo
Key Laboratory of Water Cycle and Related Land Surface Processes,
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101 Chaoyang district, Beijing, China
Sino-Danish College, University of Chinese Academy of Sciences,
Beijing 100049, China
Karina Nielsen
Department of Geodesy and Earth Observation, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Heidi Ranndal
Department of Geodesy and Earth Observation, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Liguang Jiang
School of Environmental Science and Engineering, Southern University of Science and Technology, 1088 Xueyuan Avenue, Shenzhen 518055, China
Jun Ma
Hydrology Bureau, Yellow River Water Conservancy Commission,
Zhengzhou, Henan 450004, China
Peter Bauer-Gottwein
Department of Environmental and Resource Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Viewed
Total article views: 3,502 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Jun 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,694 | 728 | 80 | 3,502 | 112 | 65 | 68 |
- HTML: 2,694
- PDF: 728
- XML: 80
- Total: 3,502
- Supplement: 112
- BibTeX: 65
- EndNote: 68
Total article views: 2,750 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,165 | 520 | 65 | 2,750 | 84 | 60 | 59 |
- HTML: 2,165
- PDF: 520
- XML: 65
- Total: 2,750
- Supplement: 84
- BibTeX: 60
- EndNote: 59
Total article views: 752 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Jun 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 529 | 208 | 15 | 752 | 28 | 5 | 9 |
- HTML: 529
- PDF: 208
- XML: 15
- Total: 752
- Supplement: 28
- BibTeX: 5
- EndNote: 9
Viewed (geographical distribution)
Total article views: 3,502 (including HTML, PDF, and XML)
Thereof 3,321 with geography defined
and 181 with unknown origin.
Total article views: 2,750 (including HTML, PDF, and XML)
Thereof 2,658 with geography defined
and 92 with unknown origin.
Total article views: 752 (including HTML, PDF, and XML)
Thereof 663 with geography defined
and 89 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
17 citations as recorded by crossref.
- Satellite and UAV derived seasonal vegetative roughness estimation for flood analysis A. Fortes et al. 10.5194/piahs-386-203-2024
- Improved Inland Water Level Estimates with Sentinel-6 Fully Focused SAR Processing: A Case Study in the Ebre River Basin X. Domingo et al. 10.3390/rs17030531
- River hydraulic modeling with ICESat-2 land and water surface elevation M. Coppo Frias et al. 10.5194/hess-27-1011-2023
- Towards affordable 3D physics-based river flow rating: application over the Luangwa River basin H. Samboko et al. 10.5194/gi-12-155-2023
- Calibrating a hydrodynamic model using water surface elevation determined from ICESat-2 derived cross-section and Sentinel-2 retrieved sub-pixel river width H. Zhou et al. 10.1016/j.rse.2023.113796
- Hydraulics of Time-Variable Water Surface Slope in Rivers Observed by Satellite Altimetry P. Bauer-Gottwein et al. 10.3390/rs16214010
- Multi-mission virtual monitoring station for streamflow monitoring and hydrodynamic model calibration D. Sahoo et al. 10.1016/j.rsase.2024.101330
- Refining ICESAT-2 ATL13 Altimetry Data for Improving Water Surface Elevation Accuracy on Rivers Y. Chen et al. 10.3390/rs16101706
- Leveraging Ice, Cloud, and Land Elevation Satellite-2 Laser Altimetry and Surface Water Ocean Topography Radar Altimetry for Error Diagnosis in Hydraulic Models: A Case Study of the Chao Phraya River T. Charoensuk et al. 10.3390/rs17040621
- Editorial for Special Issue: “Monitoring Terrestrial Water Resource Using Multiple Satellite Sensors” N. Xu et al. 10.3390/rs16111821
- Combining UAS LiDAR, Sonar, and Radar Altimetry for River Hydraulic Characterization M. Coppo Frias et al. 10.3390/drones9010031
- Combining Landsat 5 TM and UAV images to estimate river discharge with limited ground-based flow velocity and water level observations M. Li et al. 10.1016/j.rse.2025.114610
- A Denoising Methodology for Detecting ICESat-2 Bathymetry Photons Based on Quasi Full Waveform K. Jia et al. 10.1109/TGRS.2024.3422502
- Higher-density river discharge observation through integration of multiple satellite data: Midstream Yellow River, China Q. Liu et al. 10.1016/j.jag.2025.104433
- Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review M. Lubczynski et al. 10.1016/j.jhydrol.2024.130901
- Satellite-based water surface slope over a small mountain river in northern China H. Lyu & F. Tian 10.1016/j.jhydrol.2024.131576
- Monitoring Water Level Fluctuations of Reservoirs in the Krishna River Basin Using Sentinel-3 and ICESat-2 Altimetry Data A. Nalluri et al. 10.1109/ACCESS.2024.3511139
17 citations as recorded by crossref.
- Satellite and UAV derived seasonal vegetative roughness estimation for flood analysis A. Fortes et al. 10.5194/piahs-386-203-2024
- Improved Inland Water Level Estimates with Sentinel-6 Fully Focused SAR Processing: A Case Study in the Ebre River Basin X. Domingo et al. 10.3390/rs17030531
- River hydraulic modeling with ICESat-2 land and water surface elevation M. Coppo Frias et al. 10.5194/hess-27-1011-2023
- Towards affordable 3D physics-based river flow rating: application over the Luangwa River basin H. Samboko et al. 10.5194/gi-12-155-2023
- Calibrating a hydrodynamic model using water surface elevation determined from ICESat-2 derived cross-section and Sentinel-2 retrieved sub-pixel river width H. Zhou et al. 10.1016/j.rse.2023.113796
- Hydraulics of Time-Variable Water Surface Slope in Rivers Observed by Satellite Altimetry P. Bauer-Gottwein et al. 10.3390/rs16214010
- Multi-mission virtual monitoring station for streamflow monitoring and hydrodynamic model calibration D. Sahoo et al. 10.1016/j.rsase.2024.101330
- Refining ICESAT-2 ATL13 Altimetry Data for Improving Water Surface Elevation Accuracy on Rivers Y. Chen et al. 10.3390/rs16101706
- Leveraging Ice, Cloud, and Land Elevation Satellite-2 Laser Altimetry and Surface Water Ocean Topography Radar Altimetry for Error Diagnosis in Hydraulic Models: A Case Study of the Chao Phraya River T. Charoensuk et al. 10.3390/rs17040621
- Editorial for Special Issue: “Monitoring Terrestrial Water Resource Using Multiple Satellite Sensors” N. Xu et al. 10.3390/rs16111821
- Combining UAS LiDAR, Sonar, and Radar Altimetry for River Hydraulic Characterization M. Coppo Frias et al. 10.3390/drones9010031
- Combining Landsat 5 TM and UAV images to estimate river discharge with limited ground-based flow velocity and water level observations M. Li et al. 10.1016/j.rse.2025.114610
- A Denoising Methodology for Detecting ICESat-2 Bathymetry Photons Based on Quasi Full Waveform K. Jia et al. 10.1109/TGRS.2024.3422502
- Higher-density river discharge observation through integration of multiple satellite data: Midstream Yellow River, China Q. Liu et al. 10.1016/j.jag.2025.104433
- Remote sensing and hydrogeophysics give a new impetus to integrated hydrological models: A review M. Lubczynski et al. 10.1016/j.jhydrol.2024.130901
- Satellite-based water surface slope over a small mountain river in northern China H. Lyu & F. Tian 10.1016/j.jhydrol.2024.131576
- Monitoring Water Level Fluctuations of Reservoirs in the Krishna River Basin Using Sentinel-3 and ICESat-2 Altimetry Data A. Nalluri et al. 10.1109/ACCESS.2024.3511139
Latest update: 23 Apr 2025
Short summary
This paper uses remote sensing data from ICESat-2 to calibrate a 1D hydraulic model. With the model, we can make estimations of discharge and water surface elevation, which are important indicators in flooding risk assessment. ICESat-2 data give an added value, thanks to the 0.7 m resolution, which allows the measurement of narrow river streams. In addition, ICESat-2 provides measurements on the river dry portion geometry that can be included in the model.
This paper uses remote sensing data from ICESat-2 to calibrate a 1D hydraulic model. With the...
