18 citations as recorded by crossref.

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5. A Synthetic Data Set Inspired by Satellite Altimetry and Impacts of Sampling on Global Spaceborne Discharge Characterization M. Sikder et al. 10.1029/2020WR029035
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7. Remote sensing-based river discharge estimation for a small river flowing over the high mountain regions of the Tibetan Plateau M. Kebede et al. 10.1080/01431161.2019.1701213
8. Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle F. Tauro et al. 10.1080/02626667.2017.1420191
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10. Modeling hydromorphological processes in a mountainous basin using a composite mathematical model and ArcSWAT K. Kaffas et al. 10.1016/j.catena.2017.11.017
11. Benchmarking observational uncertainties for hydrology: rainfall, river discharge and water quality H. McMillan et al. 10.1002/hyp.9384
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13. Extending the Ability of Near‐Infrared Images to Monitor Small River Discharge on the Northeastern Tibetan Plateau H. Li et al. 10.1029/2018WR023808
14. Influence of river channel morphology and bank characteristics on water surface boundary delineation using high‐resolution passive remote sensing and template matching İ. Güneralp et al. 10.1002/esp.3560
15. Discharge estimation and forecasting by MODIS and altimetry data in Niger-Benue River A. Tarpanelli et al. 10.1016/j.rse.2017.04.015
16. Inference of effective river properties from remotely sensed observations of water surface P. Garambois & J. Monnier 10.1016/j.advwatres.2015.02.007
17. Characterizing fluvial systems at basin scale by fuzzy signatures of hydromorphological drivers in data scarce environments R. Schmitt et al. 10.1016/j.geomorph.2014.02.024
18. Hydrodynamic modelling of the Amazon River: Factors of uncertainty E. Chávarri et al. 10.1016/j.jsames.2012.10.010