Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1643-2021
© Author(s) 2021. 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-25-1643-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Apr 2021
Research article |
| 01 Apr 2021
| 01 Apr 2021
Evaluation of historic and operational satellite radar altimetry missions for constructing consistent long-term lake water level records
Song Shu
CORRESPONDING AUTHOR
Department of Geography and Planning, Appalachian State University,
Boone, NC 28608, USA
Hongxing Liu
CORRESPONDING AUTHOR
Department of Geography, the University of Alabama, Tuscaloosa, AL 35487, USA
Richard A. Beck
Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH 45221, USA
Frédéric Frappart
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), UMR 5566, CNRS/IRD/UPS, Observatoire Midi-Pyrénées (OMP), 14 Avenue Édouard Belin, 31400 Toulouse, France
Johanna Korhonen
Finnish Environment Institute, SYKE, Freshwater Center,
Latokartanonkaari 11, 00790 Helsinki, Finland
Minxuan Lan
Department of Geography and Geographic Information Science, University of Cincinnati, Cincinnati, OH 45221, USA
Min Xu
College of Marine Science, University of South Florida, St. Petersburg, FL 33701, USA
Bo Yang
Department of Sociology, University of Central Florida, Orlando, FL 32816, USA
Yan Huang
Key Laboratory of Geographical Information Science, Ministry of Education, School of Geographical Science, East China Normal University, Shanghai 200241, China
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Cited
24 citations as recorded by crossref.
- Evaluation of the Performances of Radar and Lidar Altimetry Missions for Water Level Retrievals in Mountainous Environment: The Case of the Swiss Lakes F. Frappart et al. 10.3390/rs13112196
- Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping Z. Li et al. 10.3389/fmars.2023.1178845
- Integrating ICESat-2 altimetry and machine learning to estimate the seasonal water level and storage variations of national-scale lakes in China L. Song et al. 10.1016/j.rse.2023.113657
- Densifying and Optimizing the Water Level Series for Large Lakes from Multi-Orbit ICESat-2 Observations T. Chen et al. 10.3390/rs15030780
- Unravelling lake water storage change in Central Asia: Rapid decrease in tail-end lakes and increasing risks to water supply W. Huang et al. 10.1016/j.jhydrol.2022.128546
- Inland Water Level Monitoring from Satellite Observations: A Scoping Review of Current Advances and Future Opportunities S. Kossieris et al. 10.3390/rs16071181
- Evaluation of Methods for Estimating Lake Surface Water Temperature Using Landsat 8 K. Dyba et al. 10.3390/rs14153839
- Interannual Variability of Water Level in Two Largest Lakes of Europe A. Kostianoy et al. 10.3390/rs14030659
- High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021 Y. Shen et al. 10.5194/essd-14-5671-2022
- Improving mean water lake surface elevation estimates using dense lidar measurements from the GEDI satellite mission F. Frappart et al. 10.1016/j.rsase.2024.101213
- Improvements in mountain lake monitoring from satellite altimetry over the past 30 years – lessons learned from Tibetan lakes L. Jiang et al. 10.1016/j.rse.2023.113702
- Comparative Analysis of GEDI’s Elevation Accuracy from the First and Second Data Product Releases over Inland Waterbodies I. Fayad et al. 10.3390/rs14020340
- The Spatio-Temporal Reconstruction of Lake Water Levels Using Deep Learning Models: A Case Study on Altai Mountains L. Yue et al. 10.1109/JSTARS.2022.3182646
- Vertical land motion monitored with satellite radar altimetry and tide gauge along the Texas coastline, USA, between 1993 and 2020 X. Qiao et al. 10.1016/j.jag.2023.103222
- Validation of the altimetry-based water levels from Sentinel-3A and B in the Inner Niger Delta A. Diepkilé et al. 10.5194/piahs-384-31-2021
- Correcting GEDI Water Level Estimates for Inland Waterbodies Using Machine Learning I. Fayad et al. 10.3390/rs14102361
- Characterizing the Water Storage Variation of Kusai Lake by Constructing Time Series from Multisource Remote Sensing Data Z. Huang et al. 10.3390/rs16010128
- Automated Water Level Monitoring at the Continental Scale from ICESat-2 Photons A. Madson & Y. Sheng 10.3390/rs13183631
- Recovery of Time Series of Water Volume in Lake Ranco (South Chile) through Satellite Altimetry and Its Relationship with Climatic Phenomena P. Fuentes-Aguilera et al. 10.3390/w16141997
- Contribution of automatically generated radar altimetry water levels from unsupervised classification to study hydrological connectivity within Amazon floodplains P. Enguehard et al. 10.1016/j.ejrh.2023.101397
- The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa A. Springer et al. 10.1007/s10712-022-09759-4
- Evaluating the Performance of Seven Ongoing Satellite Altimetry Missions for Measuring Inland Water Levels of the Great Lakes Z. An et al. 10.3390/s22249718
- Synthesis of the ICESat/ICESat-2 and CryoSat-2 observations to reconstruct time series of lake level Y. Feng et al. 10.1080/17538947.2023.2166134
- Assessment of satellite altimetry SWH measurements by in situ observations within 25 km from the coast I. Bué et al. 10.1007/s10236-024-01597-9
24 citations as recorded by crossref.
- Evaluation of the Performances of Radar and Lidar Altimetry Missions for Water Level Retrievals in Mountainous Environment: The Case of the Swiss Lakes F. Frappart et al. 10.3390/rs13112196
- Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping Z. Li et al. 10.3389/fmars.2023.1178845
- Integrating ICESat-2 altimetry and machine learning to estimate the seasonal water level and storage variations of national-scale lakes in China L. Song et al. 10.1016/j.rse.2023.113657
- Densifying and Optimizing the Water Level Series for Large Lakes from Multi-Orbit ICESat-2 Observations T. Chen et al. 10.3390/rs15030780
- Unravelling lake water storage change in Central Asia: Rapid decrease in tail-end lakes and increasing risks to water supply W. Huang et al. 10.1016/j.jhydrol.2022.128546
- Inland Water Level Monitoring from Satellite Observations: A Scoping Review of Current Advances and Future Opportunities S. Kossieris et al. 10.3390/rs16071181
- Evaluation of Methods for Estimating Lake Surface Water Temperature Using Landsat 8 K. Dyba et al. 10.3390/rs14153839
- Interannual Variability of Water Level in Two Largest Lakes of Europe A. Kostianoy et al. 10.3390/rs14030659
- High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010–2021 Y. Shen et al. 10.5194/essd-14-5671-2022
- Improving mean water lake surface elevation estimates using dense lidar measurements from the GEDI satellite mission F. Frappart et al. 10.1016/j.rsase.2024.101213
- Improvements in mountain lake monitoring from satellite altimetry over the past 30 years – lessons learned from Tibetan lakes L. Jiang et al. 10.1016/j.rse.2023.113702
- Comparative Analysis of GEDI’s Elevation Accuracy from the First and Second Data Product Releases over Inland Waterbodies I. Fayad et al. 10.3390/rs14020340
- The Spatio-Temporal Reconstruction of Lake Water Levels Using Deep Learning Models: A Case Study on Altai Mountains L. Yue et al. 10.1109/JSTARS.2022.3182646
- Vertical land motion monitored with satellite radar altimetry and tide gauge along the Texas coastline, USA, between 1993 and 2020 X. Qiao et al. 10.1016/j.jag.2023.103222
- Validation of the altimetry-based water levels from Sentinel-3A and B in the Inner Niger Delta A. Diepkilé et al. 10.5194/piahs-384-31-2021
- Correcting GEDI Water Level Estimates for Inland Waterbodies Using Machine Learning I. Fayad et al. 10.3390/rs14102361
- Characterizing the Water Storage Variation of Kusai Lake by Constructing Time Series from Multisource Remote Sensing Data Z. Huang et al. 10.3390/rs16010128
- Automated Water Level Monitoring at the Continental Scale from ICESat-2 Photons A. Madson & Y. Sheng 10.3390/rs13183631
- Recovery of Time Series of Water Volume in Lake Ranco (South Chile) through Satellite Altimetry and Its Relationship with Climatic Phenomena P. Fuentes-Aguilera et al. 10.3390/w16141997
- Contribution of automatically generated radar altimetry water levels from unsupervised classification to study hydrological connectivity within Amazon floodplains P. Enguehard et al. 10.1016/j.ejrh.2023.101397
- The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa A. Springer et al. 10.1007/s10712-022-09759-4
- Evaluating the Performance of Seven Ongoing Satellite Altimetry Missions for Measuring Inland Water Levels of the Great Lakes Z. An et al. 10.3390/s22249718
- Synthesis of the ICESat/ICESat-2 and CryoSat-2 observations to reconstruct time series of lake level Y. Feng et al. 10.1080/17538947.2023.2166134
- Assessment of satellite altimetry SWH measurements by in situ observations within 25 km from the coast I. Bué et al. 10.1007/s10236-024-01597-9
Latest update: 26 Jul 2024
Short summary
This study comprehensively evaluated 11 satellite radar altimetry missions (including their official retrackers) for lake water level retrieval and developed a strategy for constructing consistent long-term water level records for inland lakes. It is a two-step bias correction and normalization procedure. First, we use Jason-2 as the initial reference to form a consistent TOPEX/Poseidon–Jason series. Then, we use this as the reference to remove the biases with other radar altimetry missions.
This study comprehensively evaluated 11 satellite radar altimetry missions (including their...
