205 citations as recorded by crossref.

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7. Comparison of remotely sensed and modelled soil moisture data sets across Australia C. Holgate et al. 10.1016/j.rse.2016.09.015
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13. Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area C. Albergel et al. 10.5194/gmd-10-3889-2017
14. Modelling surface‐water depression storage in a Prairie Pothole Region L. Hay et al. 10.1002/hyp.11416
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20. Soil moisture and discharge modeling in a representative watershed in northeastern Brazil using SWAT C. Andrade et al. 10.1016/j.ecohyd.2018.09.002
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25. Initial soil moisture effects on flash flood generation – A comparison between basins of contrasting hydro-climatic conditions M. Grillakis et al. 10.1016/j.jhydrol.2016.03.007
26. Sentinel-1 soil moisture content and its uncertainty over sparsely vegetated fields H. Benninga et al. 10.1016/j.hydroa.2020.100066
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29. Rapid Assessment of 2022 Floods around the UNESCO Site of Mohenjo-Daro in Pakistan by Using Sentinel and Planet Labs Missions A. Hegyi & A. Agapiou 10.3390/su15032084
30. A multi-scale algorithm for the NISAR mission high-resolution soil moisture product P. Lal et al. 10.1016/j.rse.2023.113667
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32. Improved sub-seasonal meteorological forecast skill using weighted multi-model ensemble simulations N. Wanders & E. Wood 10.1088/1748-9326/11/9/094007
33. The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields M. Fontanet et al. 10.5194/hess-22-5889-2018
34. Improving the Seasonal Representation of ASCAT Soil Moisture and Vegetation Dynamics in a Temperate Climate I. Pfeil et al. 10.3390/rs10111788
35. Field-scale soil moisture estimation using sentinel-1 GRD SAR data N. Bhogapurapu et al. 10.1016/j.asr.2022.03.019
36. Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system I. Hartanto et al. 10.1016/j.jag.2016.12.015
37. Soil Moisture from Fusion of Scatterometer and SAR: Closing the Scale Gap with Temporal Filtering B. Bauer-Marschallinger et al. 10.3390/rs10071030
38. The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review D. Jiang & K. Wang 10.3390/w11081615
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40. Short-Term Hydrological Forecast Using Artificial Neural Network Models with Different Combinations and Spatial Representations of Hydrometeorological Inputs R. Jougla & R. Leconte 10.3390/w14040552
41. A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP S. Sadri et al. 10.1016/j.rse.2020.111864
42. Flood susceptibility mapping using GIS and multi-criteria decision analysis: A case of Dodoma region, central Tanzania M. Msabi & M. Makonyo 10.1016/j.rsase.2020.100445
43. Improving streamflow simulations and forecasting performance of SWAT model by assimilating remotely sensed soil moisture observations A. Patil & R. Ramsankaran 10.1016/j.jhydrol.2017.10.058
44. MERLIN: Una nueva herramienta para la predicción del riesgo de inundaciones en la demarcación hidrográfica Galicia-Costa I. Fraga et al. 10.4995/ia.2021.15565
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48. Gap Filling of High‐Resolution Soil Moisture for SMAP/Sentinel‐1: A Two‐Layer Machine Learning‐Based Framework H. Mao et al. 10.1029/2019WR024902
49. Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale X. Xing et al. 10.3390/rs15030676
50. Integration of ground survey and remote sensing derived data: Producing robust indicators of habitat extent and condition P. Henrys & S. Jarvis 10.1002/ece3.5376
51. Flood hazard assessment in large plain basins with a scarce slope in the Pampean Plain, Argentina G. Borzi et al. 10.1007/s10661-021-08988-1
52. Impacts of Introducing Remote Sensing Soil Moisture in Calibrating a Distributed Hydrological Model for Streamflow Simulation L. Xiong & L. Zeng 10.3390/w11040666
53. Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. 10.1016/j.jhydrol.2019.124367
54. Retrieval of Soil Moisture Content Based on Multisatellite Dual-Frequency Combination Multipath Errors S. Nie et al. 10.3390/rs14133193
55. A Preliminary Study to Detect Urban Changes and Its Relationship to the Flash Floods Disaster in Jeddah City R. Elsheikh 10.4236/jgis.2017.91001
56. Combined assimilation of streamflow and satellite soil moisture with the particle filter and geostatistical modeling H. Yan & H. Moradkhani 10.1016/j.advwatres.2016.06.002
57. Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations P. López López et al. 10.5194/hess-20-3059-2016
58. The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting S. Hauswirth et al. 10.5194/hess-27-501-2023
59. Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes C. Montzka et al. 10.3390/rs9020103
60. 1-km soil moisture retrieval using multi-temporal dual-channel SAR data from Sentinel-1 A/B satellites in a semi-arid watershed Z. Wang et al. 10.1016/j.rse.2022.113334
61. Assessing the sensitivity of hydro-climatological change detection methods to model uncertainty and bias Z. Jiang et al. 10.1016/j.advwatres.2019.103430
62. Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. 10.1016/j.jhydrol.2016.02.019
63. Integrating remotely sensed surface water extent into continental scale hydrology B. Revilla-Romero et al. 10.1016/j.jhydrol.2016.10.041
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65. Sentinel-1 soil moisture at 1 km resolution: a validation study A. Balenzano et al. 10.1016/j.rse.2021.112554
66. Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India S. Das 10.1016/j.rsase.2019.02.006
67. Assimilation of Backscatter Observations into a Hydrological Model: A Case Study in Belgium Using ASCAT Data P. Baguis et al. 10.3390/rs14225740
68. Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. 10.1002/2015WR018429
69. Simultaneous assimilation of SMOS soil moisture and atmospheric CO2 in-situ observations to constrain the global terrestrial carbon cycle M. Scholze et al. 10.1016/j.rse.2016.02.058
70. How do I know if I’ve improved my continental scale flood early warning system? H. Cloke et al. 10.1088/1748-9326/aa625a
71. Monitoring Significant Terrestrial Water Storage Increase From the “237” Extreme Flood Around the Haihe River Basin Using GRACE-FO and Precipitation Reconstruction J. Zhou et al. 10.1109/JSTARS.2025.3568893
72. A Framework for Diagnosing Factors Degrading the Streamflow Performance of a Soil Moisture Data Assimilation System Y. Mao et al. 10.1175/JHM-D-18-0115.1
73. Toward a Surface Soil Moisture Product at High Spatiotemporal Resolution: Temporally Interpolated, Spatially Disaggregated SMOS Data Y. Malbéteau et al. 10.1175/JHM-D-16-0280.1
74. Satellite Soil Moisture Validation Using Hydrological SWAT Model: A Case Study of Puerto Rico, USA A. Nilawar et al. 10.3390/hydrology4040045
75. Harnessing SMAP satellite soil moisture product to optimize soil properties to improve water resource management for agriculture A. Nanda et al. 10.1016/j.agwat.2024.108918
76. Four decades of microwave satellite soil moisture observations: Part 1. A review of retrieval algorithms L. Karthikeyan et al. 10.1016/j.advwatres.2017.09.006
77. Multiscale and Multivariate Evaluation of Water Fluxes and States over European River Basins O. Rakovec et al. 10.1175/JHM-D-15-0054.1
78. A Comprehensive Distributed Hydrological Modeling Intercomparison to Support Process Representation and Data Collection Strategies G. Baroni et al. 10.1029/2018WR023941
79. The GEOframe-NewAge Modelling System Applied in a Data Scarce Environment M. Bancheri et al. 10.3390/w12010086
80. Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS A. Youssef et al. 10.1080/19475705.2015.1012750
81. A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al. 10.1007/s41976-019-00025-7
82. A D-vine copula quantile regression approach for soil moisture retrieval from dual polarimetric SAR Sentinel-1 over vegetated terrains H. Nguyen et al. 10.1016/j.rse.2021.112283
83. Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System N. Wanders et al. 10.1175/JHM-D-18-0040.1
84. State updating of root zone soil moisture estimates of an unsaturated zone metamodel for operational water resources management M. Pezij et al. 10.1016/j.hydroa.2019.100040
85. Developing a hydrological monitoring and sub-seasonal to seasonal forecasting system for South and Southeast Asian river basins Y. Zhou et al. 10.5194/hess-25-41-2021
86. Analytical Hierarchy (AHP) Process Method for Environmental Hazard Mapping for Jeddah City, Saudi Arabia A. Almodayan 10.4236/gep.2018.66011
87. Regional scale multi-crop water footprint quantification based on improved WOFOST model and remote sensing data assimilation X. Chen et al. 10.1016/j.agrformet.2025.110691
88. Satellite soil moisture for advancing our understanding of earth system processes and climate change W. Dorigo & R. de Jeu 10.1016/j.jag.2016.02.007
89. Evaluating soil moisture simulations from a national-scale gridded hydrological model over Great Britain R. Lane et al. 10.1016/j.ejrh.2024.101735
90. Comparative Study on Assimilating Remote Sensing High Frequency Radar Surface Currents at an Atlantic Marine Renewable Energy Test Site L. Ren & M. Hartnett 10.3390/rs9121331
91. High-resolution European daily soil moisture derived with machine learning (2003–2020) S. O et al. 10.1038/s41597-022-01785-6
92. A Review of the Applications of ASCAT Soil Moisture Products L. Brocca et al. 10.1109/JSTARS.2017.2651140
93. Dual state/rainfall correction via soil moisture assimilation for improved streamflow simulation: evaluation of a large-scale implementation with Soil Moisture Active Passive (SMAP) satellite data Y. Mao et al. 10.5194/hess-24-615-2020
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95. The analysis of using satellite soil moisture observations for flood detection, evaluating over the Thailand’s Great Flood of 2011 N. Tangdamrongsub et al. 10.1007/s11069-021-04804-8
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104. Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China Y. Qu et al. 10.1016/j.jhydrol.2020.125616
105. Enhancing Spatial Resolution of SMAP Soil Moisture Products through Spatial Downscaling over a Large Watershed: A Case Study for the Susquehanna River Basin in the Northeastern United States S. Wakigari & R. Leconte 10.3390/rs14030776
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114. Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt B. El-Haddad et al. 10.1007/s11069-020-04296-y
115. Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network W. Rondinelli et al. 10.1175/JHM-D-14-0137.1
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136. Robust Initial Wetness Condition Framework of an Event-Based Rainfall–Runoff Model Using Remotely Sensed Soil Moisture W. Sunwoo & M. Choi 10.3390/w9020077
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