93 citations as recorded by crossref.

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13. Quantifying Freshwater Mass Balance in the Central Tibetan Plateau by Integrating Satellite Remote Sensing, Altimetry, and Gravimetry K. Tseng et al. https://doi.org/10.3390/rs8060441
14. 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. https://doi.org/10.3390/rs13112196
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18. High Resolution 3D Mapping of Hurricane Flooding from Moderate-Resolution Operational Satellites S. Li et al. https://doi.org/10.3390/rs14215445
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20. Spatio-temporal variability of droughts and terrestrial water storage over Lake Chad Basin using independent component analysis C. Ndehedehe et al. https://doi.org/10.1016/j.jhydrol.2016.05.068
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23. Deriving daily water levels from satellite altimetry and land surface temperature for sparsely gauged catchments: A case study for the Mekong River H. Pham et al. https://doi.org/10.1016/j.rse.2018.04.034
24. Assessing SWOT interferometric SAR altimetry for inland water monitoring: insights from Lake Léman H. Bazzi et al. https://doi.org/10.3389/frsen.2025.1572114
25. Enhancing the temporal resolution of water levels from altimetry using D-InSAR: A case study of 10 Swedish Lakes S. Aminjafari et al. https://doi.org/10.1016/j.srs.2024.100162
26. Reconstruction of Lake Level Changes of Groundwater-Fed Lakes in Northeastern Germany Using RapidEye Time Series I. Heine et al. https://doi.org/10.3390/w7084175
27. CryoSat-2 Altimetry Applications over Rivers and Lakes L. Jiang et al. https://doi.org/10.3390/w9030211
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29. Monitoring changes in the water volume of Hulun Lake by integrating satellite altimetry data and Landsat images between 1992 and 2010 J. Zheng et al. https://doi.org/10.1117/1.JRS.10.016029
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31. Estimation of Lake Outflow from the Poorly Gauged Lake Tana (Ethiopia) Using Satellite Remote Sensing Data Z. Duan et al. https://doi.org/10.3390/rs10071060
32. Monitoring Lake Volume Variation from Space Using Satellite Observations—A Case Study in Thac Mo Reservoir (Vietnam) B. Pham-Duc et al. https://doi.org/10.3390/rs14164023
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35. Discharge estimation and forecasting by MODIS and altimetry data in Niger-Benue River A. Tarpanelli et al. https://doi.org/10.1016/j.rse.2017.04.015
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37. Satellite radar altimetry water elevations performance over a 200 m wide river: Evaluation over the Garonne River S. Biancamaria et al. https://doi.org/10.1016/j.asr.2016.10.008
38. Development of a flood water level estimation method using satellite images and a digital elevation model for the Mekong floodplain K. Tanaka et al. https://doi.org/10.1080/02626667.2019.1578463
39. Incertitudes des niveaux d’eau dérivés de l’altimétrie satellitaire pour des étendues d’eau soumises à l’action de la glace J. Ziyad et al. https://doi.org/10.1080/07038992.2020.1780906
40. Evaluation using in-situ observations from national governments and Citizen Scientists suggests nadir altimeters can accurately measure water level changes regardless of lake area A. Gómez et al. https://doi.org/10.1080/15481603.2025.2543521
41. Assessing the capabilities of the Surface Water and Ocean Topography (SWOT) mission for large lake water surface elevation monitoring under different wind conditions J. Bergeron et al. https://doi.org/10.5194/hess-24-5985-2020
42. Monitoring the water surface dynamics of four Mediterranean mountain lakes in the Middle Atlas (Morocco) using Landsat imagery in a global change context T. El Orfi et al. https://doi.org/10.1016/j.ejrh.2025.102516
43. A denoising–classification–retracking method to improve spaceborne estimates of the water level–surface–volume relation over the Urmia Lake in Iran R. Arabsahebi et al. https://doi.org/10.1080/01431161.2019.1643938
44. Influence of recent climatic events on the surface water storage of the Tonle Sap Lake F. Frappart et al. https://doi.org/10.1016/j.scitotenv.2018.04.326
45. Monitoring water depth, surface area and volume changes in Lake Victoria: integrating the bathymetry map and remote sensing data during 1993–2016 A. Sichangi & G. Makokha https://doi.org/10.1007/s40808-017-0311-2
46. The Potential Applications of Satellite Altimetry with SARAL/AltiKa for Indian Inland Waters S. Ghosh et al. https://doi.org/10.1007/s40010-017-0463-5
47. A genetic algorithm based approach to estimate the volume of a drinking water reservoir in Chennai city, South India, using multi-spectral satellite images H. C. et al. https://doi.org/10.1080/10106049.2019.1687590
48. Investigating Hydroclimatic Variables Trends on the Natural Lakes of Western Greece Using Earth Observation Data N. Gourgouletis & E. Baltas https://doi.org/10.3390/s23042056
49. Monitoring reservoir water elevation changes using Jason-2/3 altimetry satellite missions: exploring the capabilities of JASTER (Jason-2/3 Altimetry Stand-Alone Tool for Enhanced Research) N. Ross et al. https://doi.org/10.1080/17538947.2024.2406387
50. Remote Sensing of Floodpath Lakes and Wetlands: A Challenging Frontier in the Monitoring of Changing Environments Y. Wang & H. Yésou https://doi.org/10.3390/rs10121955
51. Simplified Method for the Assessment of Siltation in Semiarid Reservoirs Using Satellite Imagery J. Lopes & J. de Araújo https://doi.org/10.3390/w11050998
52. Retracking Cryosat data in the SARIn mode and robust lake level extraction M. Kleinherenbrink et al. https://doi.org/10.1016/j.rse.2014.05.014
53. Remote Sensing of Storage Fluctuations of Poorly Gauged Reservoirs and State Space Model (SSM)-Based Estimation A. Singh et al. https://doi.org/10.3390/rs71215872
54. Combining Multispectral Imagery with in situ Topographic Data Reveals Complex Water Level Variation in China’s Largest Freshwater Lake G. Wu & Y. Liu https://doi.org/10.3390/rs71013466
55. Using Geomatic Techniques to Estimate Volume–Area Relationships of Watering Ponds U. Marín-Comitre et al. https://doi.org/10.3390/ijgi10080502
56. Evaluating D-InSAR performance to detect small water level fluctuations in two small lakes in Sweden S. Aminjafari et al. https://doi.org/10.1088/2515-7620/ad7701
57. The 2010–2020 'megadrought' drives reduction in lake surface area in the Andes of central Chile (32º - 36ºS) M. Fuentealba et al. https://doi.org/10.1016/j.ejrh.2021.100952
58. Estimating water volume variations in Lake Victoria over the past 22 years using multi-mission altimetry and remotely sensed images X. Tong et al. https://doi.org/10.1016/j.rse.2016.10.012
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63. High Cadence Monitoring of Reservoir Volume Fluctuations Using PlanetScope Imagery M. Karaman https://doi.org/10.1016/j.jhydrol.2022.127456
64. A spaceborne multisensor approach to monitor the desiccation of Lake Urmia in Iran M. Tourian et al. https://doi.org/10.1016/j.rse.2014.10.006
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66. Potential and Limitations of Satellite Altimetry Constellations for Monitoring Surface Water Storage Changes—A Case Study in the Mississippi Basin D. Dettmering et al. https://doi.org/10.3390/rs12203320
67. A Modified Empirical Retracker for Lake Level Estimation Using Cryosat-2 SARin Data H. Xue et al. https://doi.org/10.3390/w10111584
68. Hydrological regime of Sahelian small waterbodies from combined Sentinel-2 MSI and Sentinel-3 Synthetic Aperture Radar Altimeter data M. de Fleury et al. https://doi.org/10.5194/hess-27-2189-2023
69. Improving mean water lake surface elevation estimates using dense lidar measurements from the GEDI satellite mission F. Frappart et al. https://doi.org/10.1016/j.rsase.2024.101213
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72. Monitoring Variations in Lake Water Storage with Satellite Imagery and Citizen Science S. Little et al. https://doi.org/10.3390/w13070949
73. Changes in the hydrochemistry of a karstic lake in Yucatan, Mexico E. Cejudo et al. https://doi.org/10.1007/s12665-020-8838-3
74. Potential of SWOT for Monitoring Water Volumes in Sahelian Ponds and Lakes M. Grippa et al. https://doi.org/10.1109/JSTARS.2019.2901434
75. The Dynamic Changes of Lake Issyk-Kul from 1958 to 2020 Based on Multi-Source Satellite Data Y. Zhang et al. https://doi.org/10.3390/rs14071575
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78. Surface Freshwater Storage Variations in the Orinoco Floodplains Using Multi-Satellite Observations F. Frappart et al. https://doi.org/10.3390/rs70100089
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