111 citations as recorded by crossref.

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13. Monitoring Spatial–Temporal Variations in River Width in the Aral Sea Basin with Sentinel-2 Imagery J. Zhou et al. https://doi.org/10.3390/rs16050822
14. Bridging remote sensing advances and management needs for small Prairie Pothole waterbodies using a multiscale accuracy assessment A. Lothspeich et al. https://doi.org/10.1080/01431161.2026.2684250
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18. A novel approach for estimating the capacity of ungauged small reservoirs using remote sensing and DEM S. Cao et al. https://doi.org/10.2166/nh.2022.144
19. Monitoring the spatial distribution of water quality of an urban stormwater pond using satellite images S. Mahmoud et al. https://doi.org/10.1016/j.ecoinf.2023.102205
20. Comparison of Lake Area Extraction Algorithms in Qinghai Tibet Plateau Leveraging Google Earth Engine and Landsat-9 Data X. Li et al. https://doi.org/10.3390/rs14184612
21. Sub-metre surface water mapping using Sentinel-1/2 with integrated super-resolution and deep learning J. Song et al. https://doi.org/10.1080/01431161.2025.2580778
22. Discrepancies in Arctic-boreal lake area trends driven by sensitivity to dry conditions E. Webb et al. https://doi.org/10.1038/s41598-026-35981-w
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24. The Performance of Landsat-8 and Landsat-9 Data for Water Body Extraction Based on Various Water Indices: A Comparative Analysis J. Chen et al. https://doi.org/10.3390/rs16111984
25. Water Resources in Africa under Global Change: Monitoring Surface Waters from Space F. Papa et al. https://doi.org/10.1007/s10712-022-09700-9
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28. Monitoring spatiotemporal variability of water quality parameters Using Landsat imagery in Choghakhor International Wetland during the last 32 years A. Pirali Zefrehei et al. https://doi.org/10.1051/limn/2020004
29. Significant expansion of small water bodies in the Dongting Lake region following the impoundment of the Three Gorges Dam M. Tian et al. https://doi.org/10.1016/j.jenvman.2025.124443
30. Degradation trends in lakes and wetlands of Iran and their contribution to dust pollution S. Samadi-Todar et al. https://doi.org/10.1038/s41598-026-40357-1
31. Near real-time surface water extraction from GOES-16 geostationary satellite ABI images by constructing and sharpening the green-like band X. Wang et al. https://doi.org/10.1016/j.srs.2022.100055
32. Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images L. Reis et al. https://doi.org/10.3390/s21227494
33. The value of increased spatial resolution for inundated area mapping in the Western United States P. Puente & L. Condon https://doi.org/10.1080/15481603.2026.2665899
34. On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection T. Lacava et al. https://doi.org/10.3390/rs11050598
35. Dynamics of Wetlands in Ifrane National Park, Morocco: An Approach Using Satellite Imagery and Spectral Indices R. Addou et al. https://doi.org/10.3390/w17131869
36. Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM X. Li et al. https://doi.org/10.1016/j.rse.2021.112680
37. Monitoring Long-Term Spatiotemporal Changes in Iran Surface Waters Using Landsat Imagery A. Taheri Dehkordi et al. https://doi.org/10.3390/rs14184491
38. High Precision Extraction of Surface Water from Complex Terrain in Bosten Lake Basin Based on Water Index and Slope Mask Data X. Li et al. https://doi.org/10.3390/w14182809
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41. Integrating planet binary maps and Landsat fraction series for national surface water monitoring: a case study in Zimbabwe, Africa Z. Hong et al. https://doi.org/10.1080/17538947.2026.2696675
42. Domain-Knowledge-Guided Multisource Fusion Network for Small Water Bodies Mapping Using PlanetScope Multispectral and Google Earth RGB Images P. Zhou et al. https://doi.org/10.1109/JSTARS.2024.3509712
43. A novel remote sensing method to estimate pixel-wise lake water depth using dynamic water-land boundary and lakebed topography Y. Lv et al. https://doi.org/10.1080/17538947.2024.2440443
44. Dynamic surface water fraction (DSWF): Global surface water fraction mapping at 10-meter spatial resolution with Sentinel-2 imagery in Google Earth Engine Y. Wang et al. https://doi.org/10.1016/j.jag.2025.104813
45. A multi-sensor satellite imagery approach to monitor on-farm reservoirs V. Perin et al. https://doi.org/10.1016/j.rse.2021.112796
46. Refined identification and expansion mechanisms of glacier-fed lakes in high mountain Asia B. Cao et al. https://doi.org/10.1080/17538947.2025.2591977
47. Lake-area shrinkage driven by the combined effects of climate change and human activities Q. Miao et al. https://doi.org/10.1016/j.ecolind.2025.113606
48. MSFlood-Net: A physically informed deep learning model integrating multi-source data for flood inundation mapping L. Zhou et al. https://doi.org/10.1016/j.envsoft.2025.106779
49. Changes in river morphology and influencing factors in the upper Yellow River over the past 25 years Y. Qin et al. https://doi.org/10.1016/j.geomorph.2024.109397
50. Combining Multi-Sensor Satellite Imagery to Improve Long-Term Monitoring of Temporary Surface Water Bodies in the Senegal River Floodplain A. Ogilvie et al. https://doi.org/10.3390/rs12193157
51. Surface Water Evolution (2001–2017) at the Cambodia/Vietnam Border in the Upper Mekong Delta Using Satellite MODIS Observations F. Aires et al. https://doi.org/10.3390/rs12050800
52. Volume and uncertainty estimates of on-farm reservoirs using surface reflectance and LiDAR data I. Fuentes et al. https://doi.org/10.1016/j.envsoft.2021.105095
53. Highly turbid and eutrophic small water bodies in West Africa well identified by a CNN U-Net algorithm M. de Fleury et al. https://doi.org/10.1016/j.rsase.2024.101412
54. Potential of SWOT for Monitoring Water Volumes in Sahelian Ponds and Lakes M. Grippa et al. https://doi.org/10.1109/JSTARS.2019.2901434
55. Assessing biomass and primary production of microphytobenthos in depositional coastal systems using spectral information P. Jacobs et al. https://doi.org/10.1371/journal.pone.0246012
56. Deciphering the causes of lake expansion and shrinkage in India using long-term satellite data K. Nitish & J. Indu https://doi.org/10.1016/j.envres.2025.123451
57. Characterization of water status and vegetation cover change in a watershed in Northeastern Brazil J. Silva et al. https://doi.org/10.1016/j.jsames.2023.104546
58. Investigation of Meteorological Effects on Çivril Lake, Turkey, with Sentinel-2 Data on Google Earth Engine Platform P. Karakus https://doi.org/10.3390/su151813398
59. 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
60. Feasibility of monitoring floodplain on-farm water storages by integrating airborne and satellite LiDAR altimetry with optical remote sensing J. Peña-Arancibia et al. https://doi.org/10.1016/j.rse.2024.113992
61. Multi-scale deep learning for freshwater aquaculture pond detection from GF-7 and Landsat-8 imagery in Southern Jiangsu, China J. Dong et al. https://doi.org/10.1016/j.aquaculture.2026.743782
62. Automatic Suppression Method for Water Surface Glints Using a Division of Focal Plane Visible Polarimeter M. Wang et al. https://doi.org/10.3390/s23177446
63. Topographically informed satellite monitoring of reservoir storage: A multi-regional evaluation across contrasting hydroclimatic settings I. Fuentes et al. https://doi.org/10.1016/j.ejrh.2026.103603
64. Multitemporal image encoding for monitoring spatiotemporal variations of water bodies using Landsat 8 Operational Land Imager (OLI) data M. Jijón-Palma et al. https://doi.org/10.1117/1.JRS.14.034523
65. Tracking lake surface elevations with proportional hypsometric relationships, Landsat imagery, and multiple DEMs D. Weekley & X. Li https://doi.org/10.1029/2020WR027666
66. Deriving bathymetries from unmanned aerial vehicles: a case study of a small intermittent reservoir S. Massuel et al. https://doi.org/10.1080/02626667.2021.1988614
67. Sedimentation in Saudi Arabia’s 574 reservoirs: Nationwide assessment using remote sensing and erosion modeling S. Dash et al. https://doi.org/10.1016/j.jenvman.2025.127199
68. Using an Area-Weighted Loss Function to Address Class Imbalance in Deep Learning-Based Mapping of Small Water Bodies in a Low-Latitude Region P. Zhou et al. https://doi.org/10.3390/rs17111868
69. Retrieving dynamics of the surface water extent in the upper reach of Yellow River H. Zhou et al. https://doi.org/10.1016/j.scitotenv.2021.149348
70. Flooded-area satellite monitoring within a Ramsar wetland Nature Reserve in Argentina A. Ferral et al. https://doi.org/10.1016/j.rsase.2019.04.003
71. Application of Spectral Index-Based Logistic Regression to Detect Inland Water in the South Caucasus J. Worden et al. https://doi.org/10.3390/rs13245099
72. Enhancing Flood Mapping Accuracy in North and West Africa Using Multi-Sensor Satellite Data and Machine Learning in Google Earth Engine Y. Loukili et al. https://doi.org/10.1007/s41748-025-00796-8
73. The Long-Term Detection of Suspended Particulate Matter Concentration and Water Colour in Gravel and Sand Pit Lakes through Landsat and Sentinel-2 Imagery N. Ghirardi et al. https://doi.org/10.3390/rs15235564
74. Mapping small and medium-sized water reservoirs using Sentinel-1A: a case study in Chiapas, Mexico A. López-Caloca et al. https://doi.org/10.1117/1.JRS.14.036503
75. Improving waterbird monitoring and conservation in the Sahel using remote sensing: a case study with the International Waterbird Census in Sudan M. Suet et al. https://doi.org/10.1111/ibi.12911
76. Improved maps of surface water bodies, large dams, reservoirs, and lakes in China X. Wang et al. https://doi.org/10.5194/essd-14-3757-2022
77. Hybrid Deep Learning–Monte Carlo-Based MNDWI Ensemble for Probabilistic Water Extent Mapping Under Dynamic Spectral Flow Conditions in Large Waterbodies K. Kareem et al. https://doi.org/10.3390/rs18142412
78. Using Geomatic Techniques to Estimate Volume–Area Relationships of Watering Ponds U. Marín-Comitre et al. https://doi.org/10.3390/ijgi10080502
79. Surface water and flood-based agricultural systems: Mapping and modelling long-term variability in the Senegal river floodplain A. Ogilvie et al. https://doi.org/10.1016/j.agwat.2024.109254
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85. An assessment of sedimentation in Terengganu River, Malaysia using satellite imagery A. Aziz et al. https://doi.org/10.1016/j.asej.2021.03.014
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88. A Continental-Scale Assessment of Density, Size, Distribution and Historical Trends of Farm Dams Using Deep Learning Convolutional Neural Networks M. Malerba et al. https://doi.org/10.3390/rs13020319
89. Integrating Landsat-Derived Surface Water Occurrence Frequency and XGBoost-SHAP to Reveal Nonlinear Drivers of Surface Water Dynamics in the Lixiahe Plain, China G. Sui et al. https://doi.org/10.3390/su18168078
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111. Combining multisource satellite data to estimate storage variation of a lake in the Rift Valley Basin, Ethiopia W. Asfaw et al. https://doi.org/10.1016/j.jag.2020.102095