36 citations as recorded by crossref.

1. Two decades of surface water change in Lake Volta: A hybrid spectral index and machine learning approach (2004–2024) A. Mensah et al. https://doi.org/10.1016/j.ecofro.2026.01.013
2. Satellite altimeter observed surface water increase across lake-rich regions of the Arctic N. Xu et al. https://doi.org/10.1016/j.xinn.2024.100714
3. Reservoir Storage Retrieval From Multi-Source Satellite Remote Sensing and Artificial Intelligence: A Comprehensive Review G. Mo et al. https://doi.org/10.1109/ACCESS.2026.3683976
4. A novel framework for accurate, automated and dynamic global lake mapping based on optical imagery T. Zhou et al. https://doi.org/10.1016/j.isprsjprs.2025.02.008
5. The value of observed reservoir storage anomalies for improving the simulation of reservoir dynamics in large-scale hydrological models S. Hosseini-Moghari & P. Döll https://doi.org/10.5194/hess-29-4073-2025
6. 3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery C. Huang et al. https://doi.org/10.1038/s41597-025-05911-y
7. A global dataset of the shape of drainage systems C. He et al. https://doi.org/10.5194/essd-16-1151-2024
8. A review of altimetry waveform retracking for inland water levels X. Deng et al. https://doi.org/10.1016/j.geog.2025.02.001
9. Nonnegligible role of small lakes in global surface water storage dynamics N. Xu https://doi.org/10.1016/j.scib.2024.12.027
10. Quantifying long-term water storage in Ebinur Lake through integration of multi-source satellite data and hydrological observations W. Zhang et al. https://doi.org/10.1016/j.jag.2026.105347
11. Monitoring water reservoirs extent with Segment Anything Model applied to Sentinel imagery G. Sergi et al. https://doi.org/10.1080/22797254.2025.2527248
12. Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method Z. Liu et al. https://doi.org/10.1080/17538947.2024.2413882
13. A multi-objective comparative framework for Enhanced GRACE-Groundwater comparative analysis M. Akl et al. https://doi.org/10.1016/j.jhydrol.2025.134403
14. Satellite remote sensing for estimating reservoir physical characteristics: A global review of existing methodologies for operational monitoring A. Codjia et al. https://doi.org/10.1016/j.srs.2026.100383
15. High-Resolution Downscaling of GRACE-Derived Groundwater Storage Anomalies using Stacking Ensemble Machine Learning in the Data-Scarce Tropical Catchments S. Karunarathna et al. https://doi.org/10.1007/s41748-026-01022-9
16. Drastic water volume changes in mega lakes can pose considerable impacts on regional water storage Z. Gao et al. https://doi.org/10.1016/j.ecolind.2024.112150
17. Global intercomparison of satellite-derived variability in reservoir storage S. Cooley et al. https://doi.org/10.1088/1748-9326/ade903
18. Revealing Climate-Driven Lake Dynamics in Arid Regions: An Otsu-Based Spatio-Temporal Assessment of Juyanhai Lake Z. Wang et al. https://doi.org/10.1007/s41748-026-01103-9
19. Exploring the topographical pattern beneath the water surface: Global bathymetric volume-area-height curves (BVAH) of inland surface water bodies S. Zhu et al. https://doi.org/10.1016/j.geog.2024.06.005
20. A machine learning downscaling framework based on a physically constrained sliding window technique for improving resolution of global water storage anomaly G. Zhang et al. https://doi.org/10.1016/j.rse.2024.114359
21. An End-to-End Framework for Multimodal and Multitemporal Analysis of Water Bodies Using the SEN12-WATER Dataset L. Russo et al. https://doi.org/10.1109/JSTARS.2025.3622914
22. Long-term spatial and temporal patterns of lake surface water extent in mainland Southeast Asia T. Phoesri et al. https://doi.org/10.1016/j.ejrh.2025.102913
23. A coupled land use change-ecohydrological model for multi-seasonal arid agricultural systems: an Egyptian case study A. Sattar et al. https://doi.org/10.1016/j.envsoft.2025.106845
24. RiverLakeBasins: a global dataset of nested river-watersheds and lake-hillslopes J. Liu et al. https://doi.org/10.1080/13658816.2026.2620024
25. Data derived reservoir operations simulated in a global hydrologic model J. Steyaert et al. https://doi.org/10.5194/hess-29-6499-2025
26. Hydrogeodesy Facilitates the Accurate Assessment of Extreme Drought Events Y. Wu et al. https://doi.org/10.1007/s12583-024-0123-z
27. A 1985–2023 time series dataset of absolute reservoir storage in Mainland Southeast Asia (MSEA-Res) S. Mahto et al. https://doi.org/10.5194/essd-17-2693-2025
28. A Flexible Python Module for Reservoir Simulations with Seasonally Varying and Constant Flood Storage Capacity X. Hao et al. https://doi.org/10.3390/w18010068
29. Simulation and prediction of lake water storage response to climate change in a high-cold arid region: The case of typical lakes on the northern slope of the Kunlun Mountains Y. Liu et al. https://doi.org/10.1016/j.ejrh.2026.103466
30. Applying the science impact framework to understand real-world applications and impacts of ICESat and ICESat-2 data on decision-making S. Light et al. https://doi.org/10.1016/j.rsase.2025.101669
31. Exploitation of satellite earth observation datasets for hydrologic analysis of large reservoirs in Thailand L. Zeng et al. https://doi.org/10.1016/j.jhydrol.2025.133085
32. Regional water supply capacity assessment in different drought scenarios based on Budyko supply and demand framework L. Wang et al. https://doi.org/10.1016/j.ejrh.2025.102804
33. Global dominance of seasonality in shaping lake-surface-extent dynamics L. Li et al. https://doi.org/10.1038/s41586-025-09046-3
34. Substantial increase of organic carbon storage in Chinese lakes D. Liu et al. https://doi.org/10.1038/s41467-024-52387-2
35. Assessment of Surface Water Availability in the Riyadh Region Using Integrated Satellite Data and Field Measurements (2001 to 2024) R. Alharbi https://doi.org/10.3390/w16192743
36. A global dataset of reservoir in-situ water levels for hydrological and remote sensing applications M. Zhang et al. https://doi.org/10.1038/s41597-026-07091-9