364 citations as recorded by crossref.

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38. 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. https://doi.org/10.1029/2022JF006782
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43. A global framework for subsurface soil moisture estimation: Coupling fractal Richards equation with Bayesian optimization Z. Zhu et al. https://doi.org/10.1016/j.rse.2026.115318
44. Assessment of the AMSR-E soil moisture product over India S. Chaurasia et al. https://doi.org/10.1080/01431161.2010.531782
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47. Satellite surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: A comprehensive assessment using global ground-based observations H. Ma et al. https://doi.org/10.1016/j.rse.2019.111215
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50. Improving the representation of river–groundwater interactions in land surface modeling at the regional scale: Observational evidence and parameterization applied in the Community Land Model M. Zampieri et al. https://doi.org/10.1016/j.jhydrol.2011.11.041
51. In-situ and triple collocation-based evaluations of Tianmu-1 global soil moisture products Q. Wang et al. https://doi.org/10.1016/j.rse.2025.114892
52. Enhanced Soil Moisture Retrieval through Integrating Satellite Data with Pedotransfer Functions in a Complex Landscape of Ethiopia E. Teferi et al. https://doi.org/10.3390/w15193396
53. Incorporating Advanced Scatterometer Surface and Root Zone Soil Moisture Products into the Calibration of a Conceptual Semi-Distributed Hydrological Model M. Kubáň et al. https://doi.org/10.3390/w13233366
54. Downscaling Satellite Retrieved Soil Moisture Using Regression Tree‐Based Machine Learning Algorithms Over Southwest France Y. Liu et al. https://doi.org/10.1029/2020EA001267
55. A novel approach for estimating groundwater recharge leveraging high-resolution satellite soil moisture J. Dari et al. https://doi.org/10.1016/j.jhydrol.2025.132678
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57. Relationship between Vegetation and Soil Moisture Anomalies Based on Remote Sensing Data: A Semiarid Rangeland Case J. Martín-Sotoca et al. https://doi.org/10.3390/rs16183369
58. Modelling desert locust presences using 32-year soil moisture data on a large-scale D. Gómez et al. https://doi.org/10.1016/j.ecolind.2020.106655
59. Assimilation of Surface- and Root-Zone ASCAT Soil Moisture Products Into Rainfall–Runoff Modeling L. Brocca et al. https://doi.org/10.1109/TGRS.2011.2177468
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63. Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation R. Akbar et al. https://doi.org/10.1002/2017WR021508
64. Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation G. De Lannoy & R. Reichle https://doi.org/10.1175/JHM-D-15-0037.1
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67. Towards improved spatio-temporal resolution soil moisture retrievals from the synergy of SMOS and MSG SEVIRI spaceborne observations M. Piles et al. https://doi.org/10.1016/j.rse.2016.02.048
68. Evaluation of Remotely Sensed Soil Moisture for Landslide Hazard Assessment L. Zhuo et al. https://doi.org/10.1109/JSTARS.2018.2883361
69. Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian-Based Artificial Neural Networks and High- Resolution Visual, NIR, and Thermal Imagery L. Hassan-Esfahani et al. https://doi.org/10.1002/ird.2098
70. Soil Moisture Monitoring in Iran by Implementing Satellite Data into the Root-Zone SMAR Model F. Gheybi et al. https://doi.org/10.3390/hydrology6020044
71. Crop yield anomaly forecasting in the Pannonian basin using gradient boosting and its performance in years of severe drought E. Bueechi et al. https://doi.org/10.1016/j.agrformet.2023.109596
72. Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture S. Li et al. https://doi.org/10.5194/hess-26-6311-2022
73. Regionalization of Root Zone Moisture Estimations from Downscaled Surface Moisture and Environmental Data with the Soil Moisture Analytical Relationship Model Y. Liu et al. https://doi.org/10.3390/w15234133
74. Performance analysis of regional AquaCrop (v6.1) biomass and surface soil moisture simulations using satellite and in situ observations S. de Roos et al. https://doi.org/10.5194/gmd-14-7309-2021
75. An assessment of remotely sensed surface and root zone soil moisture through active and passive sensors in northeast Asia E. Cho et al. https://doi.org/10.1016/j.rse.2015.01.013
76. L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records R. van der Schalie et al. https://doi.org/10.3390/rs13132480
77. A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data A. Poortinga et al. https://doi.org/10.3390/rs9010086
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85. SMOS data as a source of the agricultural drought information: Case study of the Vistula catchment, Poland M. Kędzior & J. Zawadzki https://doi.org/10.1016/j.geoderma.2017.07.018
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91. A Review of the Applications of ASCAT Soil Moisture Products L. Brocca et al. https://doi.org/10.1109/JSTARS.2017.2651140
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107. Improvement of rootzone soil moisture estimation over the Tibetan Plateau based on the exponential filter model and Copernicus Climate Change Service (C3S) surface observations Y. Song et al. https://doi.org/10.1016/j.jhydrol.2025.133882
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109. Detecting the human fingerprint in the summer 2022 western–central European soil drought D. Schumacher et al. https://doi.org/10.5194/esd-15-131-2024
110. Comparison of Three Methods for Vertical Extrapolation of Soil Moisture in Oklahoma N. Zhang et al. https://doi.org/10.2136/vzj2017.04.0085
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112. Automated general temperature correction method for dielectric soil moisture sensors R. Kapilaratne & M. Lu https://doi.org/10.1016/j.jhydrol.2017.05.050
113. Analyzing Spatio-Temporal Factors to Estimate the Response Time between SMOS and In-Situ Soil Moisture at Different Depths C. Herbert et al. https://doi.org/10.3390/rs12162614
114. The development of an operational system for estimating irrigation water use reveals socio-political dynamics in Ukraine J. Dari et al. https://doi.org/10.5194/hess-28-2651-2024
115. Parametric and non-parametric indices for agricultural drought assessment using ESACCI soil moisture data over the Southern Plateau and Hills, India H. Palagiri & M. Pal https://doi.org/10.1016/j.jag.2024.104175
116. Accounting for seasonal retrieval errors in the merging of multi-sensor satellite soil moisture products P. Stradiotti et al. https://doi.org/10.1016/j.srs.2025.100242
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123. Bias-blind and bias-aware assimilation of leaf area index into the Noah-MP land surface model over Europe S. Scherrer et al. https://doi.org/10.5194/hess-27-4087-2023
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134. Towards a Long-Term Reanalysis of Land Surface Variables over Western Africa: LDAS-Monde Applied over Burkina Faso from 2001 to 2018 M. Tall et al. https://doi.org/10.3390/rs11060735
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137. Large-scale monitoring of soil moisture using Temperature Vegetation Quantitative Index (TVQI) and exponential filtering: A case study in Beijing Z. Zhao et al. https://doi.org/10.1016/j.agwat.2021.106896
138. Operational assimilation of ASCAT surface soil wetness at the Met Office I. Dharssi et al. https://doi.org/10.5194/hess-15-2729-2011
139. Modeling the response of soil moisture to climate variability in the Mediterranean region L. Mimeau et al. https://doi.org/10.5194/hess-25-653-2021
140. Uncertainty and performance of remote sensing-based irrigation water use estimates F. Khamseh & M. Danesh-Yazdi https://doi.org/10.1016/j.agwat.2026.110444
141. Sensitivity‐Based Soil Moisture Assimilation for Improved Streamflow Forecast Using a Novel Forward Sensitivity Method (FSM) Approach R. Visweshwaran et al. https://doi.org/10.1029/2021WR031092
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