177 citations as recorded by crossref.

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11. Reconstruction of a Global 9 km, 8-Day SMAP Surface Soil Moisture Dataset during 2015–2020 by Spatiotemporal Fusion H. Yang et al. 10.34133/2022/9871246
12. Integration of microwave satellite soil moisture products in the contextual surface temperature-vegetation index models for spatially continuous evapotranspiration estimation W. Zhu et al. 10.1016/j.isprsjprs.2023.08.004
13. Isotope data-constrained hydrological model improves soil moisture simulation and runoff source apportionment Y. Nan & F. Tian 10.1016/j.jhydrol.2024.131006
14. Comparing Satellite Soil Moisture Products Using In Situ Observations over an Instrumented Experimental Basin in Romania S. Ortenzi et al. 10.3390/rs16173283
15. Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
16. Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 B. Fang et al. 10.1002/vzj2.20305
17. Winter Wheat Yield Estimation Based on Sparrow Search Algorithm Combined with Random Forest: A Case Study in Henan Province, China X. Shi et al. 10.1007/s11769-024-1421-1
18. Soil moisture-evaporation coupling shifts into new gears under increasing CO2 H. Hsu & P. Dirmeyer 10.1038/s41467-023-36794-5
19. A data-driven model for Fennoscandian wildfire danger S. Bakke et al. 10.5194/nhess-23-65-2023
20. Extreme Compound and Seesaw Hydrometeorological Events in New Zealand: An Initial Assessment M. Bennet et al. 10.1029/2022JD038346
21. Using distributed root soil moisture data to enhance the performance of rainfall thresholds for landslide warning Y. Guo et al. 10.1007/s11069-022-05588-1
22. InterComparison and Evaluation of MultiSource Soil Moisture Products in China H. Li et al. 10.1029/2021EA001845
23. Soil Moisture-Derived SWDI at 30 m Based on Multiple Satellite Datasets for Agricultural Drought Monitoring J. Ning et al. 10.3390/rs16183372
24. Tree-ring δ18Ocellulose variations in two Nothofagus species record large-scaleclimatic signals in the South American sector of the Southern Ocean P. Soto-Rogel et al. 10.1016/j.palaeo.2023.111474
25. Impacts of hydrometeorological controls on vegetation productivity: Evidence from satellite observations and reanalysis Y. Liu et al. 10.1016/j.ecolind.2024.111976
26. Agricultural Drought Monitoring Using an Enhanced Soil Water Deficit Index Derived from Remote Sensing and Model Data Merging X. Wu et al. 10.3390/rs16122156
27. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. 10.1038/s41597-021-01050-2
28. Groundwater sustainability assessment in the Middle East using GRACE/GRACE-FO data Z. Nikraftar et al. 10.1007/s10040-023-02717-3
29. Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review R. Khandan et al. 10.3390/rs14030770
30. Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning Q. Li et al. 10.1016/j.jhydrol.2021.126698
31. Incorporating Advanced Scatterometer Surface and Root Zone Soil Moisture Products into the Calibration of a Conceptual Semi-Distributed Hydrological Model M. Kubáň et al. 10.3390/w13233366
32. Global vegetation productivity increased in response to COVID-19 restrictions C. Dang et al. 10.1080/10095020.2023.2300842
33. The lagged effect and impact of soil moisture drought on terrestrial ecosystem water use efficiency Y. Ji et al. 10.1016/j.ecolind.2021.108349
34. Use of a new Tibetan Plateau network for permafrost to characterize satellite-based products errors: An application to soil moisture and freeze/thaw J. Zheng et al. 10.1016/j.rse.2023.113899
35. Process Controls on Flood Seasonality in Brazil V. Chagas et al. 10.1029/2021GL096754
36. Cross-Evaluation of Soil Moisture Based on the Triple Collocation Method and a Preliminary Application of Quality Control for Station Observations in China W. Xiong et al. 10.3390/w14071054
37. Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products F. Mohseni et al. 10.3390/rs14184624
38. 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
39. Towards Consistent Soil Moisture Records from China’s FengYun-3 Microwave Observations G. Wang et al. 10.3390/rs14051225
40. Diverse spatiotemporal patterns of vapor pressure deficit and soil moisture across China S. Chen et al. 10.1016/j.ejrh.2024.101712
41. Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China W. Shangguan et al. 10.3390/land11040502
42. Combining Sentinel-2 data with an optical-trapezoid approach to infer within-field soil moisture variability and monitor agricultural production stages C. Ma et al. 10.1016/j.agwat.2022.107942
43. 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
44. 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
45. The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine F. Mohseni et al. 10.1080/20964471.2023.2257905
46. Estimating Rootzone Soil Moisture by Fusing Multiple Remote Sensing Products with Machine Learning S. Sahaar & J. Niemann 10.3390/rs16193699
47. A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset O. Skulovich & P. Gentine 10.1038/s41597-023-02053-x
48. 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
49. Evaluation of adaptive capacity of slope regulation and storage measures on the Loess Plateau under drought stress S. Yan et al. 10.1016/j.agwat.2024.109184
50. An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales M. Wang et al. 10.1016/j.rse.2021.112556
51. 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
52. A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data J. Liu et al. 10.1029/2021GL096847
53. Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth L. Gao et al. 10.1016/j.rse.2021.112627
54. A climate-adaptive transfer learning framework for improving soil moisture estimation in the Qinghai-Tibet Plateau J. Yang et al. 10.1016/j.jhydrol.2024.130717
55. Bias Correction for ERA5-Land Soil Moisture Product Using Variational Mode Decomposition in the Permafrost Region of Qinghai–Tibet Plateau T. Chang et al. 10.1109/JSTARS.2022.3200062
56. 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
57. The Application of PERSIANN Family Datasets for Hydrological Modeling H. Salehi et al. 10.3390/rs14153675
58. 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
59. Quantifying the long-term changes of terrestrial water storage and their driving factors X. Shi et al. 10.1016/j.jhydrol.2024.131096
60. 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
61. Improving surface soil moisture retrievals through a novel assimilation algorithm to estimate both model and observation errors J. Tian et al. 10.1016/j.rse.2021.112802
62. A Review of User Perceptions of Drought Indices and Indicators Used in the Diverse Climates of North America R. Heim et al. 10.3390/atmos14121794
63. Downscaling of SMAP Soil Moisture Data by Using a Deep Belief Network Y. Cai et al. 10.3390/rs14225681
64. Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method D. Feng et al. 10.3389/fenvs.2022.847475
65. A deep neural network based SMAP soil moisture product L. Gao et al. 10.1016/j.rse.2022.113059
66. Evaluation of root zone soil moisture products over the Huai River basin E. Liu et al. 10.5194/hess-28-2375-2024
67. Filling GRACE data gap using an innovative transformer-based deep learning approach L. Wang & Y. Zhang 10.1016/j.rse.2024.114465
68. Influence patterns of soil moisture change on surface-air temperature difference under different climatic background K. Jiang et al. 10.1016/j.scitotenv.2022.153607
69. Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval X. Bai et al. 10.3390/rs14194796
70. Source contributions to two super dust storms over Northern China in March 2021 and the impact of soil moisture H. Kang et al. 10.1016/j.scitotenv.2024.175289
71. Spatio-temporal changes in global root zone soil moisture from 1981 to 2017 X. Luo et al. 10.1016/j.jhydrol.2023.130297
72. Analyzing Effects of Crops on SMAP Satellite-Based Soil Moisture Using a Rainfall–Runoff Model in the U.S. Corn Belt N. Jadidoleslam et al. 10.1109/JSTARS.2021.3131133
73. 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
74. 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
75. Evaluation of two new-generation global soil databases for macro-scale hydrological modelling in Norway S. Huang et al. 10.1016/j.jhydrol.2022.127895
76. Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products M. Bordoni et al. 10.1007/s10064-023-03304-2
77. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
78. DeepQC: A deep learning system for automatic quality control of in-situ soil moisture sensor time series data L. Bandaru et al. 10.1016/j.atech.2024.100514
79. The Benefits of Using State‐Of‐The‐Art Digital Soil Properties Maps to Improve the Modeling of Soil Moisture in Land Surface Models C. Xu et al. 10.1029/2022WR032336
80. 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
81. Evaluation of ecosystem’s response to flash drought in water-limited regions of China T. Yao et al. 10.1088/1748-9326/ad8f4a
82. 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
83. Characterizing natural variability in complex hydrological systems using passive microwave-based climate data records: a case study for the Okavango Delta R. van der Schalie et al. 10.5194/hess-26-3611-2022
84. Soil moisture forecast for smart irrigation: The primetime for machine learning R. Togneri et al. 10.1016/j.eswa.2022.117653
85. Sensitivity of Modeled Soil NOx Emissions to Soil Moisture D. Huber et al. 10.1029/2022JD037611
86. Surface soil moisture from combined active and passive microwave observations: Integrating ASCAT and SMAP observations based on machine learning approaches H. Ma et al. 10.1016/j.rse.2024.114197
87. 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
88. Quantifying Flash Droughts Over China From 1980 to 2017 K. Fu & K. Wang 10.1029/2022JD037152
89. Uncertainty Characterization of Ground‐Based, Satellite, and Reanalysis Snow Depth Products Using Extended Triple Collocation D. Qiao et al. 10.1029/2021WR030895
90. An Integrated Approach to the Regional Estimation of Soil Moisture L. Sánchez-Fernández et al. 10.3390/hydrology11100170
91. Actual Evapotranspiration Dominates Drought in Central Asia Z. Zhao et al. 10.3390/rs15184557
92. Multi-Source Soil Moisture Data Fusion Based on Spherical Cap Harmonic Analysis and Helmert Variance Component Estimation in the Western U.S. H. Chen et al. 10.3390/s23198019
93. Increasing footprint of climate warming on flash droughts occurrence in Europe J. Shah et al. 10.1088/1748-9326/ac6888
94. South-North dipole in summer precipitation over Northeast China X. Shu et al. 10.1007/s00382-024-07256-5
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96. Spatial Estimates of Soil Moisture for Understanding Ecological Potential and Risk: A Case Study for Arid and Semi-Arid Ecosystems M. O’Donnell & D. Manier 10.3390/land11101856
97. Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System R. Reichle et al. 10.1109/JSTARS.2021.3118595
98. Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China J. Zheng et al. 10.1016/j.rse.2022.112891
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101. Evaluating Root-Zone Soil Moisture Products from GLEAM, GLDAS, and ERA5 Based on In Situ Observations and Triple Collocation Method over the Tibetan Plateau S. Yang et al. 10.1175/JHM-D-22-0016.1
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103. Seasonal divergence of evapotranspiration sensitivity to vegetation changes – A proportionality-hypothesis-based analytical solution J. Fu et al. 10.1016/j.jhydrol.2022.129055
104. Vapour pressure deficit is the main driver of tree canopy conductance across biomes V. Flo et al. 10.1016/j.agrformet.2022.109029
105. Evaluation of Six Satellite-Based Soil Moisture Products Based on in situ Measurements in Hunan Province, Central China J. Fan et al. 10.3389/fenvs.2022.829046
106. Evaluating Uncertainties in an SM-Based Inversion Algorithm for Irrigation Estimation in a Subtropical Humid Climate L. Almendra-Martín et al. 10.3390/w16172445
107. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
108. The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets H. Li et al. 10.1016/j.rse.2022.113240
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113. Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions M. Piles et al. 10.1109/TGRS.2021.3057928
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115. 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
116. Multi-Scale Analysis of Agricultural Drought Propagation on the Iberian Peninsula Using Non-Parametric Indices M. Possega et al. 10.3390/w15112032
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118. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) D. Olefeldt et al. 10.5194/essd-13-5127-2021
119. Interpreting Conv-LSTM for Spatio-Temporal Soil Moisture Prediction in China F. Huang et al. 10.3390/agriculture13050971
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135. Surface temperature controls the pattern of post-earthquake landslide activity M. Loche et al. 10.1038/s41598-022-04992-8
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142. 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
143. Evaluating Satellite Soil Moisture Datasets for Drought Monitoring in Australia and the South-West Pacific J. Bhardwaj et al. 10.3390/rs14163971
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145. 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
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149. Assessment of SMAP and SMOS soil moisture products using triple collocation method over Inner Mongolia F. Hu et al. 10.1016/j.ejrh.2022.101027
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151. Impact of Drought on Isoprene Fluxes Assessed Using Field Data, Satellite-Based GLEAM Soil Moisture and HCHO Observations from OMI B. Opacka et al. 10.3390/rs14092021
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154. Field-scale soil moisture bridges the spatial-scale gap between drought monitoring and agricultural yields N. Vergopolan et al. 10.5194/hess-25-1827-2021
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156. The emission, transport, and impacts of the extreme Saharan dust storm of 2015 B. Harr et al. 10.5194/acp-24-8625-2024
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