711 citations as recorded by crossref.

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10. Anatomy of the 2018 agricultural drought in the Netherlands using in situ soil moisture and satellite vegetation indices J. Buitink et al. 10.5194/hess-24-6021-2020
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12. Evaluating the Effects of Precipitation and Evapotranspiration on Soil Moisture Variability Within CMIP5 Using SMAP and ERA5 Data X. Xi et al. 10.1029/2022WR034225
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14. Introduction of a simple-model-based land surface dataset for Europe . Rene Orth & S. Seneviratne 10.1088/1748-9326/10/4/044012
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16. Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models X. Li et al. 10.1016/j.rse.2019.111502
17. Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations V. Senyurek et al. 10.3390/rs12213503
18. Sensitivity of WRF short-term forecasts to different soil moisture initializations from the GLDAS database over South America in March 2009 M. Dillon et al. 10.1016/j.atmosres.2015.07.022
19. Detection of soil moisture anomalies based on Sentinel-1 F. Greifeneder et al. 10.1016/j.pce.2018.11.009
20. Geo-Intelligent Retrieval Framework Based on Machine Learning in the Cloud Environment: A Case Study of Soil Moisture Retrieval Z. Li et al. 10.1109/TGRS.2023.3280591
21. Observation‐Driven Characterization of Soil Moisture‐Precipitation Interactions in the Central United States T. Ford et al. 10.1029/2022JD037934
22. 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
23. Evaluation of ESA Active, Passive and Combined Soil Moisture Products Using Upscaled Ground Measurements L. Zhu et al. 10.3390/s19122718
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25. Patterns and drivers ofAraucaria araucanaforest growth along a biophysical gradient in the northern Patagonian Andes: Linking tree rings with satellite observations of soil moisture A. Muñoz et al. 10.1111/aec.12054
26. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
27. Spatial and Temporal Variability of Soil Water Content in Two Regions of Southwest Germany during a Three‐Year Observation Period M. Poltoradnev et al. 10.2136/vzj2015.11.0143
28. Groundwater Supply and Climate Change Management by Means of Global Atmospheric Datasets. Preliminary Results P. Cerlini et al. 10.1016/j.proeng.2017.03.245
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30. A physically based approach for the estimation of root-zone soil moisture from surface measurements S. Manfreda et al. 10.5194/hess-18-1199-2014
31. Improving terrestrial evaporation estimates over continental Australia through assimilation of SMOS soil moisture B. Martens et al. 10.1016/j.jag.2015.09.012
32. Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions A. Singh et al. 10.1109/ACCESS.2023.3243635
33. A Convolutional Neural Network Algorithm for Soil Moisture Prediction from Sentinel-1 SAR Images E. Hegazi et al. 10.3390/rs13244964
34. The merging of radiative transfer based surface soil moisture data from SMOS and AMSR-E R. van der Schalie et al. 10.1016/j.rse.2016.11.026
35. Automated general temperature correction method for dielectric soil moisture sensors R. Kapilaratne & M. Lu 10.1016/j.jhydrol.2017.05.050
36. Potential Reemergence of Seasonal Soil Moisture Anomalies in North America S. Kumar et al. 10.1175/JCLI-D-18-0540.1
37. A Novel Scheme for Merging Active and Passive Satellite Soil Moisture Retrievals Based on Maximizing the Signal to Noise Ratio B. Mousa et al. 10.3390/rs12223804
38. Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia S. Kim et al. 10.3390/rs12183051
39. A global-scale intercomparison of Triple Collocation Analysis- and ground-based soil moisture time-variant errors derived from different rescaling techniques K. Wu et al. 10.1016/j.rse.2022.113387
40. Identifying the Spatial Heterogeneity and Driving Factors of Satellite-Based and Hydrologically Modeled Profile Soil Moisture H. Yang et al. 10.3390/rs16030448
41. Solid Water Melt Dominates the Increase of Total Groundwater Storage in the Tibetan Plateau Y. Zou et al. 10.1029/2022GL100092
42. Land-atmosphere interaction patterns in southeastern South America using satellite products and climate models P. Spennemann et al. 10.1016/j.jag.2017.08.016
43. Sensitivity of Numerical Weather Forecasts to Initial Soil Moisture Variations in CFSv2 P. Dirmeyer & S. Halder 10.1175/WAF-D-16-0049.1
44. Monitoring soil moisture from middle to high elevation in Switzerland: set-up and first results from the SOMOMOUNT network C. Pellet & C. Hauck 10.5194/hess-21-3199-2017
45. Deriving pedotransfer functions for soil quartz fraction in southern France from reverse modeling J. Calvet et al. 10.5194/soil-2-615-2016
46. DATA ACQUISITION SUBSYSTEM FOR CYBER-PHYSICAL SYSTEMS OF AGRICULTURAL PRODUCTION MONITORING AND ITS VERIFICATION T. Bubela & T. Fedyshyn 10.23939/istcmtm2018.01.028
47. Generating seamless global daily AMSR2 soil moisture (SGD-SM) long-term products for the years 2013–2019 Q. Zhang et al. 10.5194/essd-13-1385-2021
48. Reconstruction of a spatially seamless, daily SMAP (SSD_SMAP) surface soil moisture dataset from 2015 to 2021 H. Yang & Q. Wang 10.1016/j.jhydrol.2023.129579
49. Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations F. Lei et al. 10.1016/j.rse.2022.113041
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54. Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. 10.1029/2022WR033731
55. Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data Y. Sun et al. 10.3390/rs9030292
56. Assimilation of surface albedo and vegetation states from satellite observations and their impact on numerical weather prediction S. Boussetta et al. 10.1016/j.rse.2015.03.009
57. A theoretical approach to assess soil moisture–climate coupling across CMIP5 and GLACE-CMIP5 experiments C. Schwingshackl et al. 10.5194/esd-9-1217-2018
58. Using ERS spaceborne microwave soil moisture observations to predict groundwater head in space and time E. Sutanudjaja et al. 10.1016/j.rse.2013.07.022
59. 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
60. Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements A. Al-Yaari et al. 10.1016/j.rse.2019.02.008
61. Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework R. Llamas et al. 10.3390/rs14133137
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64. Confronting the water potential information gap K. Novick et al. 10.1038/s41561-022-00909-2
65. Intercomparison of microwave remote-sensing soil moisture data sets based on distributed eco-hydrological model simulation andin situmeasurements over the North China Plain J. Qiu et al. 10.1080/01431161.2013.788799
66. Impact of Plant Functional Types on Coherence Between Precipitation and Soil Moisture: A Wavelet Analysis Q. Liu et al. 10.1002/2017GL075542
67. A Regional Earth System Data Lab for Understanding Ecosystem Dynamics: An Example from Tropical South America L. Estupinan-Suarez et al. 10.3389/feart.2021.613395
68. Analysis of in-situ soil moisture data and validation of SMOS soil moisture products at selected agricultural sites over a tropical region C. Kang et al. 10.1080/01431161.2016.1201229
69. Assimilation of remote sensing based surface soil moisture to develop a spatially varying vertical soil moisture profile database for entire Indian mainland M. Pal & R. Maity 10.1016/j.jhydrol.2021.126807
70. A model to characterize soil moisture and organic matter profiles in the permafrost active layer in support of radar remote sensing in Alaskan Arctic tundra K. Bakian-Dogaheh et al. 10.1088/1748-9326/ac4e37
71. Satellite soil moisture data assimilation impacts on modeling weather variables and ozone in the southeastern US – Part 1: An overview M. Huang et al. 10.5194/acp-21-11013-2021
72. All-Season Liquid Soil Moisture Retrieval From SMAP C. Wang et al. 10.1109/JSTARS.2024.3382315
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74. Design of an Optimal Soil Moisture Monitoring Network Using SMOS Retrieved Soil Moisture K. Kornelsen & P. Coulibaly 10.1109/TGRS.2014.2388451
75. A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation N. Ghilain et al. 10.3390/rs11171968
76. Simulation of Long-Term Soil Hydrological Conditions at Three Agricultural Experimental Field Plots Compared with Measurements M. Wegehenkel et al. 10.3390/w11050989
77. Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 B. Fang et al. 10.1002/vzj2.20305
78. A Review of Practice and Implementation of the Internet of Things (IoT) for Smallholder Agriculture A. Antony et al. 10.3390/su12093750
79. The Raam regional soil moisture monitoring network in the Netherlands H. Benninga et al. 10.5194/essd-10-61-2018
80. A Multilayer Soil Moisture Dataset Based on the Gravimetric Method in China and Its Characteristics A. Wang & X. Shi 10.1175/JHM-D-19-0035.1
81. Evaluation of six satellite- and model-based surface soil temperature datasets using global ground-based observations H. Ma et al. 10.1016/j.rse.2021.112605
82. Impact of Backscatter Variations Over Water Bodies on Coarse-Scale Radar Retrieved Soil Moisture and the Potential of Correcting With Meteorological Data E. Hogstrom & A. Bartsch 10.1109/TGRS.2016.2530845
83. Spatiotemporal analysis of soil moisture observations within a Tibetan mesoscale area and its implication to regional soil moisture measurements L. Zhao et al. 10.1016/j.jhydrol.2012.12.033
84. Comparison of soil moisture retrieval algorithms based on the synergy between SMAP and SMOS-IC M. Ebrahimi-Khusfi et al. 10.1016/j.jag.2017.12.005
85. 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
86. Data-driven stochastic model for basin and sub-grid variability of SMAP satellite soil moisture N. Jadidoleslam et al. 10.1016/j.jhydrol.2019.06.026
87. Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes C. Montzka et al. 10.3390/rs9020103
88. Sentinel-1 Sensitivity to Soil Moisture at High Incidence Angle and the Impact on Retrieval Over Seasonal Crops D. Palmisano et al. 10.1109/TGRS.2020.3033887
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91. The Use of H-SAF Soil Moisture Products for Operational Hydrology: Flood Modelling over Italy C. Massari et al. 10.3390/hydrology2010002
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93. Sharing Wireless Spectrum in the Forest Ecosystems Using Artificial Intelligence and Machine Learning S. Naderi et al. 10.1007/s10776-022-00572-9
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95. Comparison of Four Spatial Interpolation Methods for Estimating Soil Moisture in a Complex Terrain Catchment X. Yao et al. 10.1371/journal.pone.0054660
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98. Estimating surface soil moisture from satellite observations using a generalized regression neural network trained on sparse ground-based measurements in the continental U.S Q. Yuan et al. 10.1016/j.jhydrol.2019.124351
99. Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework M. Bechtold et al. 10.1016/j.rse.2020.111805
100. A stepwise method for downscaling SMAP soil moisture dataset in the CONUS during 2015–2019 H. Yang et al. 10.1016/j.jag.2024.103912
101. Modeling transient soil moisture dichotomies in landscapes with intermixed land covers A. Patrignani & T. Ochsner 10.1016/j.jhydrol.2018.09.049
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124. 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
125. A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset O. Skulovich & P. Gentine 10.1038/s41597-023-02053-x
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127. Spatial averages of in situ measurements versus remote sensing observations: a soil moisture analysis N. Sanchez et al. 10.1080/14498596.2020.1833769
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