129 citations as recorded by crossref.

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2. On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas B. Ait Hssaine et al. 10.3390/rs13040727
3. 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
4. Assimilation of Satellite Soil Moisture Products for River Flow Prediction: An Extensive Experiment in Over 700 Catchments Throughout Europe D. De Santis et al. 10.1029/2021WR029643
5. Assessing the Impact of Soil Layer Depth Specification on the Observability of Modeled Soil Moisture and Brightness Temperature P. Shellito et al. 10.1175/JHM-D-19-0280.1
6. Detecting and mapping irrigated areas in a Mediterranean environment by using remote sensing soil moisture and a land surface model J. Dari et al. 10.1016/j.jhydrol.2021.126129
7. Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model L. Lin et al. 10.1002/2015WR017548
8. A triple collocation-based 2D soil moisture merging methodology considering spatial and temporal non-stationary errors J. Zhou et al. 10.1016/j.rse.2021.112509
9. Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data M. Radulović et al. 10.1080/15481603.2023.2262010
10. Assessment of anthropogenic and climate-driven water storage variations over water-stressed river basins of Ethiopia A. Yoshe 10.2166/nh.2024.169
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12. Assimilation of Passive L-band Microwave Brightness Temperatures in the Canadian Land Data Assimilation System: Impacts on Short-Range Warm Season Numerical Weather Prediction M. Carrera et al. 10.1175/JHM-D-18-0133.1
13. An inter-comparison of different PSO-optimized artificial intelligence algorithms for thermal-based soil moisture retrieval N. Behnia et al. 10.1007/s12145-021-00747-7
14. Indicator of Flood-Irrigated Crops From SMOS and SMAP Soil Moisture Products in Southern India C. Pascal et al. 10.1109/LGRS.2023.3267825
15. The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China X. Zhang et al. 10.3390/w10111505
16. Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated/dryland agriculture regions H. Kim et al. 10.1016/j.rse.2020.112052
17. Impact of Bias-Correction Methods on Effectiveness of Assimilating SMAP Soil Moisture Data into NCEP Global Forecast System Using the Ensemble Kalman Filter J. Yin & X. Zhan 10.1109/LGRS.2018.2806092
18. Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system Y. Kwon et al. 10.1088/1748-9326/ac7f49
19. Improved soil moisture estimation and detection of irrigation signal by incorporating SMAP soil moisture into the Indian Land Data Assimilation System (ILDAS) A. Chakraborty et al. 10.1016/j.jhydrol.2024.131581
20. A New Method for Generating the SMOPS Blended Satellite Soil Moisture Data Product without Relying on a Model Climatology J. Yin et al. 10.3390/rs14071700
21. Enhancing Noah Land Surface Model Prediction Skill over Indian Subcontinent by Assimilating SMOPS Blended Soil Moisture A. Nair & J. Indu 10.3390/rs8120976
22. Modeling actual water use under different irrigation regimes at district scale: Application to the FAO-56 dual crop coefficient method L. Olivera-Guerra et al. 10.1016/j.agwat.2022.108119
23. Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 2: Irrigation Management A. Pradipta et al. 10.3390/w14071157
24. Soil Moisture Data Assimilation to Estimate Irrigation Water Use R. Abolafia‐Rosenzweig et al. 10.1029/2019MS001797
25. Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques R. Abolafia-Rosenzweig et al. 10.1016/j.rse.2020.112191
26. Impacts of Fully Coupling Land Surface and Flood Models on the Simulation of Large Wetlands' Water Dynamics: The Case of the Inner Niger Delta A. Getirana et al. 10.1029/2021MS002463
27. Improved Hydrological Simulation Using SMAP Data: Relative Impacts of Model Calibration and Data Assimilation R. Koster et al. 10.1175/JHM-D-17-0228.1
28. GRACE Improves Seasonal Groundwater Forecast Initialization over the United States A. Getirana et al. 10.1175/JHM-D-19-0096.1
29. Retrieving accurate soil moisture over the Tibetan Plateau using multi-source remote sensing data assimilation with simultaneous state and parameter estimations W. Chen et al. 10.1175/JHM-D-20-0298.1
30. Inter-Sensor Calibration between HY-2B and AMSR2 Passive Microwave Data in Land Surface and First Result for Snow Water Equivalent Retrieval S. Gao et al. 10.3390/s19225023
31. Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend W. Nie et al. 10.1029/2019WR025363
32. An object-based image analysis approach to assess irrigation-water consumption from MODIS products in Ethiopia M. Vogels et al. 10.1016/j.jag.2020.102067
33. An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018 Y. Chen et al. 10.5194/essd-13-1-2021
34. Evaluation of SMAP/Sentinel 1 High-Resolution Soil Moisture Data to Detect Irrigation Over Agricultural Domain E. Jalilvand et al. 10.1109/JSTARS.2021.3119228
35. Estimating Irrigation Water Consumption Using Machine Learning and Remote Sensing Data in Kansas High Plains S. Wei et al. 10.3390/rs14133004
36. Systematic daytime increases in atmospheric biases linked to dry soils in irrigated areas in Indian operational forecasts E. Barton et al. 10.1002/asl.1172
37. Assimilation of Satellite-Derived Soil Moisture for Improved Forecasts of the Great Plains Low-Level Jet C. Ferguson et al. 10.1175/MWR-D-20-0185.1
38. A Joint Landsat- and MODIS-Based Reanalysis Approach for Midlatitude Montane Seasonal Snow Characterization S. Margulis et al. 10.3389/feart.2019.00272
39. Triple Collocation-Based Assessment of Satellite Soil Moisture Products with In Situ Measurements in China: Understanding the Error Sources X. Wu et al. 10.3390/rs12142275
40. Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review R. Khandan et al. 10.3390/rs14030770
41. A stand-alone remote sensing approach based on the use of the optical trapezoid model for detecting the irrigated areas G. Longo-Minnolo et al. 10.1016/j.agwat.2022.107975
42. Estimating Soil Evaporation Using Drying Rates Determined from Satellite-Based Soil Moisture Records E. Small et al. 10.3390/rs10121945
43. SMOS brightness temperature assimilation into the Community Land Model D. Rains et al. 10.5194/hess-21-5929-2017
44. Towards a soil moisture drought monitoring system for South Korea H. Jung et al. 10.1016/j.jhydrol.2020.125176
45. Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
46. How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture? L. Zappa et al. 10.1016/j.jag.2022.102979
47. Understanding the Impacts of Soil Moisture Initial Conditions on NWP in the Context of Land–Atmosphere Coupling J. Santanello Jr. et al. 10.1175/JHM-D-18-0186.1
48. Evaluation of State and Bias Estimates for Assimilation of SMOS Retrievals Into Conceptual Rainfall-Runoff Models V. Pauwels et al. 10.3389/frwa.2020.00004
49. Double-scale analysis on the detectability of irrigation signals from remote sensing soil moisture over an area with complex topography in central Italy J. Dari et al. 10.1016/j.advwatres.2022.104130
50. A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint M. Khaki et al. 10.1016/j.jhydrol.2017.10.032
51. A Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band L. Gao et al. 10.1109/TGRS.2020.2987490
52. Estimation of Electrical Energy Consumption in Irrigated Rice Crops in Southern Brazil D. Lemes et al. 10.3390/en16186742
53. Impact of crop types and irrigation on soil moisture downscaling in water-stressed cropland regions Y. Wang et al. 10.1016/j.eiar.2023.107073
54. Optimizing a backscatter forward operator using Sentinel-1 data over irrigated land S. Modanesi et al. 10.5194/hess-25-6283-2021
55. Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India A. Singh et al. 10.3390/rs12142266
56. Assessment of SMOS Root Zone Soil Moisture: A Comparative Study Using SMAP, ERA5, and GLDAS N. Ojha et al. 10.1109/ACCESS.2024.3404123
57. Soil moisture estimation in South Asia via assimilation of SMAP retrievals J. Ahmad et al. 10.5194/hess-26-2221-2022
58. Integrating remote sensing, irrigation suitability and statistical data for irrigated cropland mapping over mainland China L. Zhang et al. 10.1016/j.jhydrol.2022.128413
59. Microwave retrievals of soil moisture and vegetation optical depth with improved resolution using a combined constrained inversion algorithm: Application for SMAP satellite L. Gao et al. 10.1016/j.rse.2020.111662
60. Satellite-based soil moisture provides missing link between summertime precipitation and surface temperature biases in CMIP5 simulations over conterminous United States A. Al-Yaari et al. 10.1038/s41598-018-38309-5
61. Satellite-based global-scale irrigation water use and its contemporary trends M. Zohaib & M. Choi 10.1016/j.scitotenv.2020.136719
62. Estimating multi-scale irrigation amounts using multi-resolution soil moisture data: A data-driven approach using PrISM G. Paolini et al. 10.1016/j.agwat.2023.108594
63. ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions W. Dorigo et al. 10.1016/j.rse.2017.07.001
64. Comparison and Downscale of AMSR2 Soil Moisture Products with In Situ Measurements from the SCAN–NRCS Network over Puerto Rico J. Nuñez-Olivieri et al. 10.3390/hydrology4040046
65. Extraction of Irrigation Signals by Using SMAP Soil Moisture Data L. Zhu & A. Zhu 10.3390/rs13112142
66. Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets P. Lawston et al. 10.5194/hess-21-2953-2017
67. Land surface modeling over the Dry Chaco: the impact of model structures, and soil, vegetation and land cover parameters M. Maertens et al. 10.5194/hess-25-4099-2021
68. Remote sensing data assimilation A. Nair et al. 10.1080/02626667.2020.1761021
69. Utilizing SMAP Soil Moisture Data to Constrain Irrigation in the Community Land Model F. Felfelani et al. 10.1029/2018GL080870
70. The 2019–2020 Australian Drought and Bushfires Altered the Partitioning of Hydrological Fluxes S. Kumar et al. 10.1029/2020GL091411
71. Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy T. Foster et al. 10.1029/2020WR028378
72. Information theoretic evaluation of satellite soil moisture retrievals S. Kumar et al. 10.1016/j.rse.2017.10.016
73. Nonparametric Data Assimilation Scheme for Land Hydrological Applications M. Khaki et al. 10.1029/2018WR022854
74. Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region L. Olivera-Guerra et al. 10.1016/j.rse.2019.111627
75. An inter-comparison of approaches and frameworks to quantify irrigation from satellite data S. Kragh et al. 10.5194/hess-28-441-2024
76. How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products L. Brocca et al. 10.1016/j.jag.2018.08.023
77. Assimilation of NASA's Airborne Snow Observatory Snow Measurements for Improved Hydrological Modeling: A Case Study Enabled by the Coupled LIS/WRF‐Hydro System T. Lahmers et al. 10.1029/2021WR029867
78. Evapotranspiration Estimates at High Spatial and Temporal Resolutions from an Energy–Water Balance Model and Satellite Data in the Capitanata Irrigation Consortium C. Corbari et al. 10.3390/rs12244083
79. Continued decline of global soil moisture content, with obvious soil stratification and regional difference T. Qin et al. 10.1016/j.scitotenv.2022.160982
80. Soil moisture retrieval from AMSR-E and ASCAT microwave observation synergy. Part 2: Product evaluation J. Kolassa et al. 10.1016/j.rse.2017.04.020
81. Confronting Soil Moisture Dynamics from the ORCHIDEE Land Surface Model With the ESA-CCI Product: Perspectives for Data Assimilation N. Raoult et al. 10.3390/rs10111786
82. Mapping Irrigated Areas Based on Remotely Sensed Crop Phenology and Soil Moisture W. Zuo et al. 10.3390/agronomy13061556
83. A Novel Machine Learning–Based Gap-Filling of Fine-Resolution Remotely Sensed Snow Cover Fraction Data by Combining Downscaling and Regression S. Yatheendradas & S. Kumar 10.1175/JHM-D-20-0111.1
84. Combining neural networks and data assimilation to enhance the spatial impact of Argo floats in the Copernicus Mediterranean biogeochemical model C. Amadio et al. 10.5194/os-20-689-2024
85. Benefits and pitfalls of GRACE data assimilation: A case study of terrestrial water storage depletion in India M. Girotto et al. 10.1002/2017GL072994
86. Comparing Assimilation of Synthetic Soil Moisture Versus C‐Band Backscatter for Hyper‐Resolution Land Surface Modeling L. Sun et al. 10.1029/2020WR028921
87. Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture L. Zappa et al. 10.3390/rs13091727
88. Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. 10.1029/2022WR032967
89. Assimilation of vegetation optical depth retrievals from passive microwave radiometry S. Kumar et al. 10.5194/hess-24-3431-2020
90. Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
91. Benefits and pitfalls of irrigation timing and water amounts derived from satellite soil moisture L. Zappa et al. 10.1016/j.agwat.2024.108773
92. 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
93. Soil Moisture for Hydrological Applications: Open Questions and New Opportunities L. Brocca et al. 10.3390/w9020140
94. Forecasts of fog events in northern India dramatically improve when weather prediction models include irrigation effects D. Smith et al. 10.1038/s43247-024-01314-w
95. Near real time de-noising of satellite-based soil moisture retrievals: An intercomparison among three different techniques C. Massari et al. 10.1016/j.rse.2017.05.037
96. Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data F. Zaussinger et al. 10.5194/hess-23-897-2019
97. Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region E. Jalilvand et al. 10.1016/j.rse.2019.111226
98. Rapidly intensified, long duration North Indian Ocean tropical cyclones: Mesoscale downscaling and validation A. Munsi et al. 10.1016/j.atmosres.2021.105678
99. A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset O. Skulovich & P. Gentine 10.1038/s41597-023-02053-x
100. Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation J. Dong et al. 10.1016/j.rse.2020.111756
101. Landsat-8 and Sentinel-2 Canopy Water Content Estimation in Croplands through Radiative Transfer Model Inversion E. Boren & L. Boschetti 10.3390/rs12172803
102. Quantifying and valuing irrigation in energy and water limited agroecosystems M. Soylu & R. Bras 10.1016/j.hydroa.2023.100169
103. Characteristics of Background Error Covariance of Soil Moisture and Atmospheric States in Strongly Coupled Land–Atmosphere Data Assimilation L. Lin & Z. Pu 10.1175/JAMC-D-18-0050.1
104. Satellite Soil Moisture Validation Using Hydrological SWAT Model: A Case Study of Puerto Rico, USA A. Nilawar et al. 10.3390/hydrology4040045
105. Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation K. Arsenault et al. 10.1175/jhm-d-17-0205.1
106. Near-Real-Time Forecast of Satellite-Based Soil Moisture Using Long Short-Term Memory with an Adaptive Data Integration Kernel K. Fang & C. Shen 10.1175/JHM-D-19-0169.1
107. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone – a blueprint for hydrologists R. Rigon et al. 10.5194/hess-26-4773-2022
108. Accounting for spatial correlation errors in the assimilation of GRACE into hydrological models through localization M. Khaki et al. 10.1016/j.advwatres.2017.07.024
109. Plot-Scale Irrigation Dates and Amount Detection Using Surface Soil Moisture Derived from Sentinel-1 SAR Data in the Optirrig Crop Model M. Hamze et al. 10.3390/rs15164081
110. Estimation of Global Irrigation Water Use by the Integration of Multiple Satellite Observations K. Zhang et al. 10.1029/2021WR030031
111. Retrieving the irrigation actually applied at district scale: Assimilating high-resolution Sentinel-1-derived soil moisture data into a FAO-56-based model P. Laluet et al. 10.1016/j.agwat.2024.108704
112. Feasibility of Using SWIR-Transformed Reflectance (STR) in Place of Surface Temperature (Ts) for the Mapping of Irrigated Landcover M. Abuzar et al. 10.3390/land13050633
113. Leveraging Soil Moisture Assimilation in Permafrost Affected Regions A. Pradhan et al. 10.3390/rs15061532
114. Estimating Spatially Explicit Irrigation Water Use Based on Remotely Sensed Evapotranspiration and Modeled Root Zone Soil Moisture C. Zhang & D. Long 10.1029/2021WR031382
115. Impact of Soil Moisture Assimilation on Land Surface Model Spinup and Coupled Land–Atmosphere Prediction J. Santanello et al. 10.1175/JHM-D-15-0072.1
116. Assessment of EnKF data assimilation of satellite-derived soil moisture over the Indian domain with the Noah land surface model V. Jose & A. Chandrasekar 10.1007/s00704-021-03759-x
117. Remote sensing-based energy balance for lettuce in an arid environment: influence of management scenarios on irrigation and evapotranspiration modeling R. Dhungel et al. 10.1007/s00271-023-00848-9
118. Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. 10.1016/j.srs.2024.100129
119. An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space S. Kumar et al. 10.1029/2022MS003259
120. Is It Possible to Quantify Irrigation Water‐Use by Assimilating a High‐Resolution Satellite Soil Moisture Product? E. Jalilvand et al. 10.1029/2022WR033342
121. A Review of Irrigation Information Retrievals from Space and Their Utility for Users C. Massari et al. 10.3390/rs13204112
122. Irrigation Signals Detected From SMAP Soil Moisture Retrievals P. Lawston et al. 10.1002/2017GL075733
123. Regional Assessment of Soil Moisture Active Passive Enhanced L3 Soil Moisture Product and Its Application in Agriculture L. Zhu et al. 10.3390/rs16071225
124. Irrigation Amounts and Timing Retrieval through Data Assimilation of Surface Soil Moisture into the FAO-56 Approach in the South Mediterranean Region N. Ouaadi et al. 10.3390/rs13142667
125. Surface Freshwater Limitation Explains Worst Rice Production Anomaly in India in 2002 M. Zampieri et al. 10.3390/rs10020244
126. A case study of field-scale maize irrigation patterns in western Nebraska: implications for water managers and recommendations for hyper-resolution land surface modeling J. Gibson et al. 10.5194/hess-21-1051-2017
127. Detecting global irrigated areas by using satellite and reanalysis products M. Zohaib et al. 10.1016/j.scitotenv.2019.04.365
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129. Improvement of land surface model simulations over India via data assimilation of satellite-based soil moisture products A. Nair & J. Indu 10.1016/j.jhydrol.2019.03.088