127 citations as recorded by crossref.

1. Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index J. Martínez-Fernández et al. 10.1016/j.rse.2016.02.064
2. Spatial Downscaling of Soil Moisture Product to Generate High-Resolution Data: A Multi-Source Approach over Heterogeneous Landscapes in Kenya A. Abebe et al. 10.3390/rs17101763
3. Multi-layer high-resolution soil moisture estimation using machine learning over the United States L. Karthikeyan & A. Mishra 10.1016/j.rse.2021.112706
4. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al. 10.5194/hess-25-17-2021
5. A Convolutional Neural Network Algorithm for Soil Moisture Prediction from Sentinel-1 SAR Images E. Hegazi et al. 10.3390/rs13244964
6. Large-scale monitoring of soil moisture using Temperature Vegetation Quantitative Index (TVQI) and exponential filtering: A case study in Beijing Z. Zhao et al. 10.1016/j.agwat.2021.106896
7. Automated Quality Control of In Situ Soil Moisture from the North American Soil Moisture Database Using NLDAS-2 Products Y. Xia et al. 10.1175/JAMC-D-14-0275.1
8. A geospatial method for estimating soil moisture variability in prehistoric agricultural landscapes A. Gillreath-Brown et al. 10.1371/journal.pone.0220457
9. Evaluation of microwave remote sensing for monitoring live fuel moisture content in the Mediterranean region L. Fan et al. 10.1016/j.rse.2017.11.020
10. Evaluation of soil moisture data products over Indian region and analysis of spatio-temporal characteristics with respect to monsoon rainfall A. Sathyanadh et al. 10.1016/j.jhydrol.2016.08.040
11. Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations M. Pablos et al. 10.3390/rs10070981
12. Assessment of long-term multisource surface and subsurface soil moisture products and estimate methods on the Tibetan Plateau P. Zhang et al. 10.1016/j.jhydrol.2024.131713
13. A data-driven approach using the remotely sensed soil moisture product to identify water-demand in agricultural regions G. Singh & N. Das 10.1016/j.scitotenv.2022.155893
14. Testing of observation operators designed to estimate profile soil moisture from surface measurements X. Gao et al. 10.1002/hyp.13344
15. A comparison of machine learning algorithms for predicting gross primary productivity of the Western Ghats region in India using reanalysis and satellite data G. Agarwal et al. 10.1007/s12040-025-02525-1
16. Assessment of remotely sensed soil moisture products and their quality improvement: A case study in South Korea M. Kwon & D. Han 10.1016/j.jher.2019.04.002
17. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al. 10.5194/hess-19-1659-2015
18. Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach P. Marino et al. 10.1007/s10346-020-01420-8
19. Improved Understanding of the Link Between Catchment‐Scale Vegetation Accessible Storage and Satellite‐Derived Soil Water Index L. Bouaziz et al. 10.1029/2019WR026365
20. 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
21. Evaluating controls of soil properties and climatic conditions on the use of an exponential filter for converting near surface to root zone soil moisture contents T. Wang et al. 10.1016/j.jhydrol.2017.03.055
22. Comprehensive quality assessment of satellite- and model-based soil moisture products against the COSMOS network in Germany T. Schmidt et al. 10.1016/j.rse.2023.113930
23. Estimation of root zone soil moisture using passive microwave remote sensing: A case study for rice and wheat crops for three states in the Indo-Gangetic basin A. Sure & O. Dikshit 10.1016/j.jenvman.2018.12.109
24. Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations A. Pasik et al. 10.5194/gmd-16-4957-2023
25. Using remotely sensed soil moisture for land–atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability M. Hirschi et al. 10.1016/j.rse.2014.08.030
26. Comparative study of soil moisture estimations from SMOS satellite mission, GLDAS database, and cosmic-ray neutrons measurements at COSMOS station in Eastern Poland M. Kędzior & J. Zawadzki 10.1016/j.geoderma.2016.07.023
27. An Evaluation of the North American Regional Reanalysis Simulated Soil Moisture Conditions during the 2011–13 Drought Period R. Leeper et al. 10.1175/JHM-D-16-0132.1
28. An Exponential Filter Model-Based Root-Zone Soil Moisture Estimation Methodology from Multiple Datasets Y. Yang et al. 10.3390/rs14081785
29. Estimation of 100 m root zone soil moisture by downscaling 1 km soil water index with machine learning and multiple geodata T. Mahmood et al. 10.1007/s10661-024-12969-5
30. Towards soil moisture profile estimation in the root zone using L- and P-band radiometer observations: A coherent modelling approach F. Brakhasi et al. 10.1016/j.srs.2023.100079
31. Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part I: Comparison and Analysis Y. Xia et al. 10.1175/JHM-D-14-0096.1
32. Evaluation of the SMOS-Derived Soil Water Deficit Index as Agricultural Drought Index in Northeast of Brazil F. Paredes-Trejo & H. Barbosa 10.3390/w9060377
33. Multi-decadal analysis of root-zone soil moisture applying the exponential filter across CONUS K. Tobin et al. 10.5194/hess-21-4403-2017
34. C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) N. Ouaadi et al. 10.5194/essd-13-3707-2021
35. High Spatial and Temporal Soil Moisture Retrieval in Agricultural Areas Using Multi-Orbit and Vegetation Adapted Sentinel-1 SAR Time Series D. Mengen et al. 10.3390/rs15092282
36. Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values C. Carranza et al. 10.5194/hess-22-2255-2018
37. Impacts of hydrometeorological controls on vegetation productivity: Evidence from satellite observations and reanalysis Y. Liu et al. 10.1016/j.ecolind.2024.111976
38. Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation R. Akbar et al. 10.1002/2017WR021508
39. The diagnosis about spatio-temporal characteristics and driving factors of flash drought and its prediction over typical humid and semi-arid basins in China Q. Zhu & Y. Wang 10.1175/JHM-D-21-0062.1
40. Root-zone soil moisture estimation based on remote sensing data and deep learning Y. A et al. 10.1016/j.envres.2022.113278
41. Comparison of SMOS, modelled andin situlong-term soil moisture series in the northwest of Spain A. Gumuzzio et al. 10.1080/02626667.2016.1151981
42. Physics‐Constrained Machine Learning of Evapotranspiration W. Zhao et al. 10.1029/2019GL085291
43. A quality assessment of the soil water index by the propagation of ASCAT soil moisture error estimates through an exponential filter D. De Santis & D. Biondi 10.1080/01431161.2017.1382745
44. Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model F. Gheybi et al. 10.3390/hydrology6020044
45. Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model N. Sriwongsitanon et al. 10.5194/hess-20-3361-2016
46. Root-zone plant available water estimation using the SMOS-derived soil water index Á. González-Zamora et al. 10.1016/j.advwatres.2016.08.001
47. Soil moisture profile estimation by combining P-band SAR polarimetry with hydrological and multi-layer scattering models A. Fluhrer et al. 10.1016/j.rse.2024.114067
48. Using InSAR for Surface Deformation Monitoring and Active Layer Thickness Retrieval in the Heihe River Basin on the Northeast Qinghai‐Tibet Plateau S. Peng et al. 10.1029/2022JF006782
49. Estimating root zone soil moisture using the SMAR model and regression method at a headwater catchment with complex terrain Y. Qi et al. 10.1016/j.geoderma.2024.117144
50. 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
51. Retrieving Surface and Rootzone Soil Moisture Using Microwave Remote Sensing S. Thaggahalli Nagaraju & A. Pathak 10.1007/s12524-024-01881-7
52. Microwave Retrievals of Soil Moisture Improve Grassland Wildfire Predictions A. Rigden et al. 10.1029/2020GL091410
53. Combined influence of soil moisture and atmospheric evaporative demand is important for accurately predicting US maize yields A. Rigden et al. 10.1038/s43016-020-0028-7
54. Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information S. Helgert & S. Khodayar 10.1016/j.rse.2020.111812
55. Evaluation of Soil Water Availability (SWA) Based on Hydrological Modelling in Arid and Semi-Arid Areas: A Case Study in Handan City, China X. Gao et al. 10.3390/w8080360
56. On the use of the critical event concept for quantifying soil moisture dynamics T. Wang et al. 10.1016/j.geoderma.2018.08.013
57. An advanced error correction methodology for merging in-situ observed and model-based soil moisture Z. Wu et al. 10.1016/j.jhydrol.2018.09.018
58. SMOS data as a source of the agricultural drought information: Case study of the Vistula catchment, Poland M. Kędzior & J. Zawadzki 10.1016/j.geoderma.2017.07.018
59. Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products H. Kim et al. 10.1016/j.rse.2017.10.026
60. Evaluating the drought response of CMIP5 models using global gross primary productivity, leaf area, precipitation, and soil moisture data Y. Huang et al. 10.1002/2016GB005480
61. Detecting groundwater dependence and woody vegetation restoration with NDVI and moisture trend analyses in an Indonesian karst savanna P. Godwin et al. 10.3389/frsen.2024.1280712
62. Evaluation of nine sub-daily soil moisture model products over China using high-resolution in situ observations Y. Chen & H. Yuan 10.1016/j.jhydrol.2020.125054
63. More accurate specification of water supply shows its importance for global crop production J. Proctor et al. 10.1038/s43016-022-00592-x
64. Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a Machine Learning Method L. Zeng et al. 10.3390/rs11030284
65. Kenyan tea is made with heat and water: how will climate change influence its yield? A. Rigden et al. 10.1088/1748-9326/ab70be
66. The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management E. Babaeian & M. Tuller 10.3390/rs15112736
67. Predicting rootzone soil moisture from surface observations in cropland using an exponential filter P. Rossini & A. Patrignani 10.1002/saj2.20319
68. Retrieval of Subsurface Soil Moisture and Vegetation Water Content From Multifrequency SoOp Reflectometry: Sensitivity Analysis S. Kim et al. 10.1109/TGRS.2023.3284800
69. Estimation of Landscape Soil Water Losses from Satellite Observations of Soil Moisture R. Akbar et al. 10.1175/JHM-D-17-0200.1
70. Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 2: Irrigation Management A. Pradipta et al. 10.3390/w14071157
71. Predicting root zone soil moisture using observations at 2121 sites across China J. Tian et al. 10.1016/j.scitotenv.2022.157425
72. Estimation of subsurface soil moisture from surface soil moisture in cold mountainous areas J. Tian et al. 10.5194/hess-24-4659-2020
73. An improved process-oriented hydro-biogeochemical model for simulating dynamic fluxes of methane and nitrous oxide in alpine ecosystems with seasonally frozen soils W. Zhang et al. 10.5194/bg-18-4211-2021
74. Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning E. Babaeian et al. 10.1016/j.rse.2021.112434
75. Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations D. Short Gianotti et al. 10.1029/2019WR025332
76. Assessment of SMOS Root Zone Soil Moisture: A Comparative Study Using SMAP, ERA5, and GLDAS N. Ojha et al. 10.1109/ACCESS.2024.3404123
77. Evaluation of Soil Moisture in CMIP6 Multimodel Simulations Over Conterminous China A. Wang et al. 10.1029/2022JD037072
78. Spatio-temporal changes in global root zone soil moisture from 1981 to 2017 X. Luo et al. 10.1016/j.jhydrol.2023.130297
79. Long-Term Characteristics of Surface Soil Moisture over the Tibetan Plateau and Its Response to Climate Change C. Zhu et al. 10.3390/rs15184414
80. The Raam regional soil moisture monitoring network in the Netherlands H. Benninga et al. 10.5194/essd-10-61-2018
81. Passive Microwave Remote Sensing Soil Moisture Data in Agricultural Drought Monitoring: Application in Northeastern China T. Cheng et al. 10.3390/w13192777
82. Comparison of Three Methods for Vertical Extrapolation of Soil Moisture in Oklahoma N. Zhang et al. 10.2136/vzj2017.04.0085
83. Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data N. Nicolai‐Shaw et al. 10.1002/2015JD023305
84. Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors H. Nguyen et al. 10.1016/j.jhydrol.2019.02.018
85. Analyzing Spatio-Temporal Factors to Estimate the Response Time between SMOS and In-Situ Soil Moisture at Different Depths C. Herbert et al. 10.3390/rs12162614
86. Remotely Sensed Soil Moisture Can Capture Dynamics Relevant to Plant Water Uptake A. Feldman et al. 10.1029/2022WR033814
87. High-Resolution SMAP-Derived Root-Zone Soil Moisture Using an Exponential Filter Model Calibrated per Land Cover Type V. Stefan et al. 10.3390/rs13061112
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89. Does Afternoon Precipitation Occur Preferentially over Dry or Wet Soils in Oklahoma? T. Ford et al. 10.1175/JHM-D-14-0005.1
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97. Assimilation of SMOS brightness temperatures or soil moisture retrievals into a land surface model G. De Lannoy & R. Reichle 10.5194/hess-20-4895-2016
98. Comparison of Long-Term Changes in Non-Linear Aggregated Drought Index Calibrated by MERRA–2 and NDII Soil Moisture Proxies F. Mathivha & N. Mbatha 10.3390/w14010026
99. The Coupling of Soil Water and Leaf Phenology Observed by Satellite During Australian Bushfires in 2019–2020 Y. Liu et al. 10.1029/2021JD036279
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115. Performance evaluation of soil moisture profile estimation through entropy-based and exponential filter models V. Mishra et al. 10.1080/02626667.2020.1730846
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117. Satellite-Based Assessment of Meteorological and Agricultural Drought in Mainland Southeast Asia Y. Li et al. 10.1109/JSTARS.2022.3190438
118. Improvement of multi‐layer soil moisture prediction using support vector machines and ensemble Kalman filter coupled with remote sensing soil moisture datasets over an agriculture dominant basin in China Q. Zhu et al. 10.1002/hyp.14154
119. Quantifying the potential of using Soil Moisture Active Passive (SMAP) soil moisture variability to predict subsurface water dynamics A. Nayak et al. 10.5194/hess-29-215-2025
120. Remote sensing of root zone soil moisture: A review of methods and products A. Kasim et al. 10.1016/j.jhydrol.2025.133002
121. Comparing the Assimilation of SMOS Brightness Temperatures and Soil Moisture Products on Hydrological Simulation in the Canadian Land Surface Scheme M. Nambiar et al. 10.3390/rs12203405
122. Evaluation of subsurface soil water content estimate methods: Maximum entropy vs. exponential filter H. Luo et al. 10.1016/j.jhydrol.2024.132007
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126. Extending the Spatio-Temporal Applicability of DISPATCH Soil Moisture Downscaling Algorithm: A Study Case Using SMAP, MODIS and Sentinel-3 Data N. Ojha et al. 10.3389/fenvs.2021.555216
127. Dual assimilation of satellite soil moisture to improve streamflow prediction in data‐scarce catchments C. Alvarez‐Garreton et al. 10.1002/2015WR018429