219 citations as recorded by crossref.

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22. Evaluation of reanalysis soil moisture products using cosmic ray neutron sensor observations across the globe Y. Zheng et al. 10.5194/hess-28-1999-2024
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24. 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
25. Synergistic Calibration of a Hydrological Model Using Discharge and Remotely Sensed Soil Moisture in the Paraná River Basin A. Fleischmann et al. 10.3390/rs13163256
26. Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning S. Sahaar & J. Niemann 10.3390/rs16193699
27. A Transformer-based method to simulate multi-scale soil moisture Y. Liu et al. 10.1016/j.jhydrol.2025.132900
28. Estimation of Soil Freeze Depth in Typical Snowy Regions Using Reanalysis Dataset: A Case Study in Heilongjiang Province, China X. Wang et al. 10.3390/rs14235989
29. An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales M. Wang et al. 10.1016/j.rse.2021.112556
30. Combined large-scale tropical and subtropical forcing on the severe 2019–2022 drought in South America J. Geirinhas et al. 10.1038/s41612-023-00510-3
31. Accelerated soil moisture drought onset link to high temperatures and asymmetric responses associated with hit timing Y. Liu et al. 10.5194/hess-29-1103-2025
32. Soil moisture–atmosphere coupling strength over central Europe in the recent warming climate T. Schwitalla et al. 10.5194/nhess-25-1405-2025
33. Spatio-temporal accuracy evaluation of MSWEP daily precipitation over the Huaihe River Basin, China: A comparison study with representative satellite- and reanalysis-based products L. Li et al. 10.1007/s11442-022-2047-9
34. In-situ and triple collocation-based evaluations of Tianmu-1 global soil moisture products Q. Wang et al. 10.1016/j.rse.2025.114892
35. The Application of PERSIANN Family Datasets for Hydrological Modeling H. Salehi et al. 10.3390/rs14153675
36. An assessment of L-band surface soil moisture products from SMOS and SMAP in the tropical areas H. Ma et al. 10.1016/j.rse.2022.113344
37. Generating surface soil moisture at the 30 m resolution in grape-growing areas based on stacked ensemble learning S. Tao et al. 10.1080/01431161.2024.2377228
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41. A deep neural network based SMAP soil moisture product L. Gao et al. 10.1016/j.rse.2022.113059
42. Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval X. Bai et al. 10.3390/rs14194796
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44. The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model M. Kuban et al. 10.2478/johh-2022-0021
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46. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
47. Development of soil water content retrieving method for irrigation agriculture areas using the red-edge band of Gaofen-6 satellite R. Wang et al. 10.1016/j.agwat.2024.109045
48. A Triple Collocation-Based Comparison of Three L-Band Soil Moisture Datasets, SMAP, SMOS-IC, and SMOS, Over Varied Climates and Land Covers S. Kim et al. 10.3389/frwa.2021.693172
49. Downscaling ESA CCI Soil Moisture Based on Soil and Vegetation Component Temperatures Derived From MODIS Data C. Song et al. 10.1109/JSTARS.2022.3155463
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51. The Evolution of Drought and Propagation Patterns from Meteorological Drought to Agricultural Drought in the Pearl River Basin Y. Zhou et al. 10.3390/w17081116
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53. The role of the land surface for surface climate: results from a stepwise land–atmosphere coupling experiment W. May 10.1007/s00382-025-07602-1
54. A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates S. Do et al. 10.3389/frsen.2024.1474088
55. Vapour pressure deficit is the main driver of tree canopy conductance across biomes V. Flo et al. 10.1016/j.agrformet.2022.109029
56. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
57. The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets H. Li et al. 10.1016/j.rse.2022.113240
58. Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning J. Lee et al. 10.1016/j.jhydrol.2022.127749
59. SMRFR: A global multilayer soil moisture dataset generated using Random Forest from multi-source data Y. Liu et al. 10.1038/s41597-025-05511-w
60. Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions M. Piles et al. 10.1109/TGRS.2021.3057928
61. Seasonal variations in soil–plant interactions in contrasting urban green spaces: Insights from water stable isotopes C. Marx et al. 10.1016/j.jhydrol.2022.127998
62. Integrating rainfall severity and soil saturation indices to define hydro-meteorological thresholds for landslides S. Zhang et al. 10.1016/j.jhydrol.2025.132873
63. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) D. Olefeldt et al. 10.5194/essd-13-5127-2021
64. Validation of ERA5-Land-based reconstructed air temperature and near-surface ground temperature on James Ross Island L. Kaplan Pastíriková et al. 10.1080/1088937X.2024.2434744
65. A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China L. Wei et al. 10.1016/j.jhydrol.2024.131757
66. A novel land surface temperature reconstruction method and its application for downscaling surface soil moisture with machine learning O. Güngör Şahin & O. Gündüz 10.1016/j.jhydrol.2024.131051
67. Impact of Soil Moisture Data Assimilation on Analysis and Medium-Range Forecasts in an Operational Global Data Assimilation and Prediction System S. Jun et al. 10.3390/atmos12091089
68. Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. 10.1109/TGRS.2021.3107028
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76. Climate warming accelerates surface soil moisture drying in the Yellow River Basin, China K. Fan et al. 10.1016/j.jhydrol.2022.128735
77. Does dynamically modeled leaf area improve predictions of land surface water and carbon fluxes? Insights into dynamic vegetation modules S. Westermann et al. 10.5194/bg-21-5277-2024
78. Data-driven water need estimation for IoT-based smart irrigation: A survey R. Togneri et al. 10.1016/j.eswa.2023.120194
79. Air Temperature Monitoring over Low Latitude Rice Planting Areas: Combining Remote Sensing, Model Assimilation, and Machine Learning Techniques M. Lin et al. 10.3390/rs15153805
80. Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation T. van Hateren et al. 10.3390/rs13101990
81. ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite X. Liu et al. 10.1016/j.rse.2021.112587
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84. Spatiotemporal sensitivity analysis of surface soil moisture to precipitation and temperature variations: a case study of the Cheliff Basin in Algeria S. Kabli et al. 10.1007/s00704-024-04875-0
85. Evaluating a global soil moisture dataset from a multitask model (GSM3 v1.0) with potential applications for crop threats J. Liu et al. 10.5194/gmd-16-1553-2023
86. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
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90. Using principal component analysis to incorporate multi-layer soil moisture information in hydrometeorological thresholds for landslide prediction: an investigation based on ERA5-Land reanalysis data N. Palazzolo et al. 10.5194/nhess-23-279-2023
91. Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China W. Yang et al. 10.5194/hess-26-6427-2022
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