766 citations as recorded by crossref.

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26. 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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29. Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data Y. Sun et al. 10.3390/rs9030292
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52. 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
53. The Sodankylä in situ soil moisture observation network: an example application of ESA CCI soil moisture product evaluation J. Ikonen et al. 10.5194/gi-5-95-2016
54. 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
55. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. 10.1038/s41597-021-01050-2
56. Enhanced groundwater recharge rates and altered recharge sensitivity to climate variability through subsurface heterogeneity A. Hartmann et al. 10.1073/pnas.1614941114
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58. Spatial variation of temperature of surface soil layer adjacent to constructions: A theoretical framework for atmosphere-building-soil energy flow systems H. Zhou et al. 10.1016/j.buildenv.2017.08.002
59. Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets A. Al-Yaari et al. 10.1016/j.rse.2017.03.010
60. Spatial and Temporal Soil Moisture Variations over China from Simulations and Observations X. Lai et al. 10.1155/2016/4587687
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63. A global perspective on the probability of propagation of drought: From meteorological to soil moisture Y. Zhu et al. 10.1016/j.jhydrol.2021.126907
64. On soil moisture deficit, low precipitation, and temperature extremes impacts on rainfed cereal productions in Iran M. Nouri & M. Bannayan 10.1007/s00704-019-02766-3
65. 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
66. Comparison of Interpolation, Statistical, and Data-Driven Methods for Imputation of Missing Values in a Distributed Soil Moisture Dataset K. Kornelsen & P. Coulibaly 10.1061/(ASCE)HE.1943-5584.0000767
67. Impact of Incidence Angle Diversity on SMOS and Sentinel-1 Soil Moisture Retrievals at Coarse and Fine Scales G. Portal et al. 10.1109/TGRS.2022.3187467
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76. Validation of Regional-Scale Remote Sensing Products in China: From Site to Network S. Wang et al. 10.3390/rs8120980
77. Soil Variability and Biogeochemical Fluxes: Toward a Better Understanding of Soil Processes at the Land Surface G. Martinez et al. 10.2136/vzj2017.07.0145
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80. Global soil moisture data fusion by Triple Collocation Analysis from 2011 to 2018 Q. Xie et al. 10.1038/s41597-022-01772-x
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82. Surface soil moisture retrievals over partially vegetated areas from the synergy of Sentinel-1 and Landsat 8 data using a modified water-cloud model Y. Bao et al. 10.1016/j.jag.2018.05.026
83. 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
84. Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S. Tian et al. 10.5194/hess-23-1067-2019
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