75 citations as recorded by crossref.

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39. Validation of Jason-3 tracking modes over French rivers S. Biancamaria et al. https://doi.org/10.1016/j.rse.2018.02.037
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41. An intercomparison of remote sensing river discharge estimation algorithms from measurements of river height, width, and slope M. Durand et al. https://doi.org/10.1002/2015WR018434
42. River ice phenology and thickness from satellite altimetry: potential for ice bridge road operation and climate studies E. Zakharova et al. https://doi.org/10.5194/tc-15-5387-2021
43. State of continental discharge estimation and modelling: challenges and opportunities for Africa K. Akpoti et al. https://doi.org/10.1080/02626667.2024.2402938
44. CryoSat-2 Altimetry Applications over Rivers and Lakes L. Jiang et al. https://doi.org/10.3390/w9030211
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46. Mapping Wetlands in Zambia Using Seasonal Backscatter Signatures Derived from ENVISAT ASAR Time Series S. Schlaffer et al. https://doi.org/10.3390/rs8050402
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49. Global River Radar Altimetry Time Series (GRRATS): new river elevation earth science data records for the hydrologic community S. Coss et al. https://doi.org/10.5194/essd-12-137-2020
50. Using modelled discharge to develop satellite-based river gauging: a case study for the Amazon Basin J. Hou et al. https://doi.org/10.5194/hess-22-6435-2018
51. Modeling River Discharge Using Automated River Width Measurements Derived from Sentinel-1 Time Series D. Mengen et al. https://doi.org/10.3390/rs12193236
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55. 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
56. Enhanced water level monitoring for small and complex inland water bodies using multi-satellite remote sensing K. Han et al. https://doi.org/10.1016/j.envsoft.2024.106169
57. Investigating sources of variability in closing the terrestrial water balance with remote sensing C. Michailovsky et al. https://doi.org/10.5194/hess-27-4335-2023
58. Exploring the potential of Sentinel-3 and Sentinel-6 SAR altimetry measurements for discharge estimation: Case studies from the Rhine and Po rivers E. Zakharova et al. https://doi.org/10.1016/j.jhydrol.2026.135211
59. A first large-scale flood inundation forecasting model G. Schumann et al. https://doi.org/10.1002/wrcr.20521
60. Accuracy of Copernicus Altimeter Water Level Data in Italian Rivers Accounting for Narrow River Sections C. Deidda et al. https://doi.org/10.3390/rs13214456
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