102 citations as recorded by crossref.

1. High-resolution European daily soil moisture derived with machine learning (2003–2020) S. O et al. 10.1038/s41597-022-01785-6
2. SMOS soil moisture product evaluation over West-Africa from local to regional scale S. Louvet et al. 10.1016/j.rse.2014.10.005
3. Validation of SMAP surface soil moisture products with core validation sites A. Colliander et al. 10.1016/j.rse.2017.01.021
4. 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
5. Global soil moisture data derived through machine learning trained with in-situ measurements S. O. & R. Orth 10.1038/s41597-021-00964-1
6. Surface soil moisture retrievals from remote sensing: Current status, products & future trends G. Petropoulos et al. 10.1016/j.pce.2015.02.009
7. Multi‐Timescale Analysis of the Spatial Representativeness of In Situ Soil Moisture Data within Satellite Footprints B. Molero et al. 10.1002/2017JD027478
8. A Study on the Establishment of a Korean Soil Moisture Network (2): Measurement of Intermediate-Scale Soil Moisture Using a Cosmic-Ray Sensor J. Jeong et al. 10.9798/KOSHAM.2018.18.7.83
9. The synergistic use of microwave coarse-scale measurements and two adopted high-resolution indices driven from long-term T-V scatter plot for fine-scale soil moisture estimation F. Mohseni & M. Mokhtarzade 10.1080/15481603.2021.1906056
10. Investigating FWI Moisture Codes in Relation to Satellite-Derived Soil Moisture Data across Varied Resolutions H. Atalay et al. 10.3390/fire7080272
11. Inverse Dynamic Parameter Identification for Remote Sensing of Soil Moisture From SMAP Satellite Observations R. Zhang et al. 10.1109/JSTARS.2024.3457941
12. Validation of Soil Moisture Data Products From the NASA SMAP Mission A. Colliander et al. 10.1109/JSTARS.2021.3124743
13. Moving beyond run‐off calibration—Multivariable optimization of a surface–subsurface–atmosphere model S. Stisen et al. 10.1002/hyp.13177
14. Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta‐analysis approach O. Merlin et al. 10.1002/2015WR018233
15. The Raam regional soil moisture monitoring network in the Netherlands H. Benninga et al. 10.5194/essd-10-61-2018
16. SOIL-WATERGRIDS, mapping dynamic changes in soil moisture and depth of water table from 1970 to 2014 M. Guglielmo et al. 10.1038/s41597-021-01032-4
17. Identifying relative strengths of SMAP, SMOS-IC, and ASCAT to capture temporal variability R. Zhang et al. 10.1016/j.rse.2020.112126
18. An inverse dielectric mixing model at 50 MHz that considers soil organic carbon C. Park et al. 10.5194/hess-25-6407-2021
19. SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact N. Rodríguez-Fernández et al. 10.3390/rs11111334
20. An improved perspective in the spatial representation of soil moisture: potential added value of SMOS disaggregated 1 km resolution “all weather” product S. Khodayar et al. 10.5194/hess-23-255-2019
21. Assimilation of global radar backscatter and radiometer brightness temperature observations to improve soil moisture and land evaporation estimates H. Lievens et al. 10.1016/j.rse.2016.11.022
22. Smart Irrigation Control With Disease Detection Using Machine Learning and Arduino Controller N. V. S et al. 10.48175/IJARSCT-965
23. Validation of SMOS L1C and L2 Products and Important Parameters of the Retrieval Algorithm in the Skjern River Catchment, Western Denmark S. Bircher et al. 10.1109/TGRS.2012.2215041
24. Twelve years of profile soil moisture and temperature measurements in Twente, the Netherlands R. van der Velde et al. 10.5194/essd-15-1889-2023
25. The Impact of National Land Cover and Soils Data on SMOS Soil Moisture Retrieval Over Canadian Agricultural Landscapes A. Pacheco et al. 10.1109/JSTARS.2015.2417832
26. Assimilation of SMOS‐derived soil moisture in a fully integrated hydrological and soil‐vegetation‐atmosphere transfer model in Western Denmark M. Ridler et al. 10.1002/2014WR015392
27. Using a simple post-processor to predict residual uncertainty for multiple hydrological model outputs L. Ehlers et al. 10.1016/j.advwatres.2019.05.003
28. Joint Sentinel‐1 and SMAP data assimilation to improve soil moisture estimates H. Lievens et al. 10.1002/2017GL073904
29. Comparison of Dobson and Mironov Dielectric Models in the SMOS Soil Moisture Retrieval Algorithm A. Mialon et al. 10.1109/TGRS.2014.2368585
30. Climate change impacts and uncertainty on spatiotemporal variations of drought indices for an irrigated catchment S. Chan et al. 10.1016/j.jhydrol.2021.126814
31. Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis A. Gruber et al. 10.1002/2015JD024027
32. Evaluation of SMAP Core Validation Site Representativeness Errors Using Dense Networks of In Situ Sensors and Random Forests J. Whitcomb et al. 10.1109/JSTARS.2020.3033591
33. Heat as a tracer to quantify processes and properties in the vadose zone: A review L. Halloran et al. 10.1016/j.earscirev.2016.06.009
34. Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model J. Lee et al. 10.1109/TGRS.2024.3489974
35. Evaluation of SMOS soil moisture products over the CanEx-SM10 area N. Djamai et al. 10.1016/j.jhydrol.2014.11.026
36. Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products F. Mohseni et al. 10.3390/rs14184624
37. Spatial averages of in situ measurements versus remote sensing observations: a soil moisture analysis N. Sanchez et al. 10.1080/14498596.2020.1833769
38. Regionalizing Root‐Zone Soil Moisture Estimates From ESA CCI Soil Water Index Using Machine Learning and Information on Soil, Vegetation, and Climate M. Grillakis et al. 10.1029/2020WR029249
39. Quality of Soil Simulation by the INM RAS–MSU Soil Scheme as a Part of the SL-AV Weather Prediction Model S. Travova et al. 10.3103/S1068373922030013
40. Uncertainty of Reference Pixel Soil Moisture Averages Sampled at SMAP Core Validation Sites F. Chen et al. 10.1175/JHM-D-19-0049.1
41. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. 10.5194/hess-27-4087-2023
42. Retrieving Soil Temperature at a Test Site on the Yamal Peninsula Based on the SMOS Brightness Temperature Observations K. Muzalevskiy & Z. Ruzicka 10.1109/JSTARS.2016.2553220
43. Assimilation of Satellite Soil Moisture for Improved Atmospheric Reanalyses C. Draper & R. Reichle 10.1175/MWR-D-18-0393.1
44. Developing machine learning models with multisource inputs for improved land surface soil moisture in China L. Wang et al. 10.1016/j.compag.2021.106623
45. Version 4 of the SMAP Level‐4 Soil Moisture Algorithm and Data Product R. Reichle et al. 10.1029/2019MS001729
46. Relative Strengths Recognition of Nine Mainstream Satellite-Based Soil Moisture Products at the Global Scale X. Min et al. 10.3390/rs14122739
47. Global soil moisture data fusion by Triple Collocation Analysis from 2011 to 2018 Q. Xie et al. 10.1038/s41597-022-01772-x
48. A combination of DISPATCH downscaling algorithm with CLASS land surface scheme for soil moisture estimation at fine scale during cloudy days N. Djamai et al. 10.1016/j.rse.2016.06.010
49. Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network W. Dorigo et al. 10.2136/vzj2012.0097
50. SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia H. Lievens et al. 10.1016/j.rse.2015.06.025
51. Observational and predictive uncertainties for multiple variables in a spatially distributed hydrological model L. Ehlers et al. 10.1002/hyp.13367
52. Exploring the combined use of SMAP and Sentinel-1 data for downscaling soil moisture beyond the 1 km scale R. Meyer et al. 10.5194/hess-26-3337-2022
53. A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes R. Zhang et al. 10.1016/j.rse.2019.01.015
54. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
55. Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System R. Reichle et al. 10.1109/JSTARS.2021.3118595
56. A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine F. Greifeneder et al. 10.3390/rs13112099
57. 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
58. Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data N. Rodríguez-Fernández et al. 10.3390/rs8110959
59. Intercomparison of recent microwave satellite soil moisture products on European ecoregions A. Mazzariello et al. 10.1016/j.jhydrol.2023.130311
60. Assessment of SMOS Root Zone Soil Moisture: A Comparative Study Using SMAP, ERA5, and GLDAS N. Ojha et al. 10.1109/ACCESS.2024.3404123
61. Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. 10.1109/TGRS.2021.3107028
62. The role of pit-mound microrelief in the redistribution of rainwater in forest soils: a natural legacy facilitating groundwater recharge? D. Juřička et al. 10.1007/s10342-022-01439-7
63. Improving the Combination of Satellite Soil Moisture Data Sets by Considering Error Cross Correlation: A Comparison Between Triple Collocation (TC) and Extended Double Instrumental Variable (EIVD) Alternatives S. Kim et al. 10.1109/TGRS.2020.3032418
64. Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al. 10.1109/TGRS.2017.2734070
65. The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data A. Tavakol et al. 10.1016/j.rsase.2021.100649
66. Reducing multiplicative bias of satellite soil moisture retrievals K. Kornelsen & P. Coulibaly 10.1016/j.rse.2015.04.031
67. Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation S. Nativel et al. 10.3390/rs14102434
68. L-Band Relative Permittivity of Organic Soil Surface Layers—A New Dataset of Resonant Cavity Measurements and Model Evaluation S. Bircher et al. 10.3390/rs8121024
69. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
70. Improving the Seasonal Representation of ASCAT Soil Moisture and Vegetation Dynamics in a Temperate Climate I. Pfeil et al. 10.3390/rs10111788
71. Earth Observation Data Synergy for the Enhanced Monitoring of Ephemeral Water Bodies to Anticipate Karst-Related Flooding E. Papageorgiou et al. 10.3390/geohazards4020012
72. Monitoring multi-decadal satellite earth observation of soil moisture products through land surface reanalyses C. Albergel et al. 10.1016/j.rse.2013.07.009
73. Evaluation of a MetOp ASCAT‐Derived Surface Soil Moisture Product in Tundra Environments E. Högström et al. 10.1029/2018JF004658
74. Improving the ESA CCI daily soil moisture time series with physically-based land surface model datasets using a Fourier time-filtering method E. Seo & P. Dirmeyer 10.1175/JHM-D-21-0120.1
75. Three years of L-band brightness temperature measurements in a mountainous area: Topography, vegetation and snowmelt issues T. Pellarin et al. 10.1016/j.rse.2016.02.047
76. Performance of a reversible heat pump/organic Rankine cycle unit coupled with a passive house to get a positive energy building O. Dumont et al. 10.1080/19401493.2016.1265010
77. Regularized Dual-Channel Algorithm for the Retrieval of Soil Moisture and Vegetation Optical Depth From SMAP Measurements J. Chaubell et al. 10.1109/JSTARS.2021.3123932
78. Sentinel-1 soil moisture at 1 km resolution: a validation study A. Balenzano et al. 10.1016/j.rse.2021.112554
79. A Dielectric Mixing Model Accounting for Soil Organic Matter C. Park et al. 10.2136/vzj2019.04.0036
80. 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
81. High-resolution modeling of the spatial heterogeneity of soil moisture: Applications in network design N. Chaney et al. 10.1002/2013WR014964
82. Parameterization of Vegetation Scattering Albedo in the Tau-Omega Model for Soil Moisture Retrieval on Croplands C. Park et al. 10.3390/rs12182939
83. An RFI-suppressed SMOS L-band multi-angular brightness temperature dataset spanning over a decade (since 2010) Z. Peng et al. 10.1038/s41597-023-02499-z
84. Applying SMOS soil moisture data into the National Weather Service (NWS)’s Research Distributed Hydrologic Model (HL-RDHM) for flash flood guidance application D. Seo et al. 10.1016/j.rsase.2017.09.002
85. Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation Y. Kerr et al. 10.1016/j.rse.2016.02.042
86. Estimation of Regional Groundwater Recharge Using Data from a Distributed Soil Moisture Network M. Andreasen et al. 10.2136/vzj2013.01.0035
87. Soil moisture sensor calibration for organic soil surface layers S. Bircher et al. 10.5194/gi-5-109-2016
88. 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
89. Evaluation of the soil water content using cosmic-ray neutron probe in a heterogeneous monsoon climate-dominated region H. Nguyen et al. 10.1016/j.advwatres.2017.07.020
90. Long-term SMOS soil moisture products: A comprehensive evaluation across scales and methods in the Duero Basin (Spain) Á. González-Zamora et al. 10.1016/j.pce.2015.05.009
91. Spatial Sensitivity Analysis of Simulated Land Surface Patterns in a Catchment Model Using a Set of Innovative Spatial Performance Metrics J. Koch et al. 10.1175/JHM-D-16-0148.1
92. Validation practices for satellite soil moisture retrievals: What are (the) errors? A. Gruber et al. 10.1016/j.rse.2020.111806
93. Comparison of Satellite Soil Moisture Products in Mongolia and Their Relation to Grassland Condition O. Vova et al. 10.3390/land8090142
94. Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology A. Gruber et al. 10.5194/essd-11-717-2019
95. Temperate climate malaria in nineteenth century Denmark M. Ingholt et al. 10.1186/s12879-022-07422-2
96. Evaluation of the ESA CCI soil moisture product using ground-based observations W. Dorigo et al. 10.1016/j.rse.2014.07.023
97. Time-variant error characterization of SMAP and ASCAT soil moisture using Triple Collocation Analysis K. Wu et al. 10.1016/j.rse.2021.112324
98. Simulating C‐Band SAR Footprint‐Scale Backscatter Over Agricultural Area With a Physical Land Surface Model L. Sun et al. 10.1029/2019WR025163
99. A surface soil temperature retrieval algorithm based on AMSR-E multi-frequency brightness temperatures M. Han et al. 10.1080/01431161.2017.1363438
100. The Impact of Satellite‐Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts B. Candy et al. 10.1002/2016JD026417
101. Validation of the global land data assimilation system based on measurements of soil temperature profiles L. Wang et al. 10.1016/j.agrformet.2016.01.003
102. 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