144 citations as recorded by crossref.

1. L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records R. van der Schalie et al. 10.3390/rs13132480
2. Global estimates of daily evapotranspiration using SMAP surface and root-zone soil moisture Y. Kim et al. 10.1016/j.rse.2023.113803
3. A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux M. Tourian et al. 10.1016/j.rse.2023.113685
4. Potential caveats in land surface model evaluations using the US drought monitor: roles of base periods and drought indicators H. Wang et al. 10.1088/1748-9326/ac3f63
5. Improved global evapotranspiration estimates using proportionality hypothesis-based water balance constraints J. Fu et al. 10.1016/j.rse.2022.113140
6. Evaluating satellite-derived soil moisture data for improving the internal consistency of process-based ecohydrological modelling D. Duethmann et al. 10.1016/j.jhydrol.2022.128462
7. Comprehensive evaluation of satellite-based and reanalysis soil moisture products using in situ observations over China X. Ling et al. 10.5194/hess-25-4209-2021
8. Recent advancements of landslide hydrology R. Greco et al. 10.1002/wat2.1675
9. A 21-year dataset (2000–2020) of gap-free global daily surface soil moisture at 1-km grid resolution C. Zheng et al. 10.1038/s41597-023-01991-w
10. Towards near real-time national-scale soil water content monitoring using data fusion as a downscaling alternative I. Fuentes et al. 10.1016/j.jhydrol.2022.127705
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. Soil moisture content retrieval from Landsat 8 data using ensemble learning Y. Zhang et al. 10.1016/j.isprsjprs.2022.01.005
15. Validation of downscaled 1‐km SMOS and SMAP soil moisture data in 2010–2021 B. Fang et al. 10.1002/vzj2.20305
16. 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
17. Soil moisture-evaporation coupling shifts into new gears under increasing CO2 H. Hsu & P. Dirmeyer 10.1038/s41467-023-36794-5
18. A data-driven model for Fennoscandian wildfire danger S. Bakke et al. 10.5194/nhess-23-65-2023
19. Extreme Compound and Seesaw Hydrometeorological Events in New Zealand: An Initial Assessment M. Bennet et al. 10.1029/2022JD038346
20. 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
21. InterComparison and Evaluation of MultiSource Soil Moisture Products in China H. Li et al. 10.1029/2021EA001845
22. 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
23. Impacts of hydrometeorological controls on vegetation productivity: Evidence from satellite observations and reanalysis Y. Liu et al. 10.1016/j.ecolind.2024.111976
24. SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US N. Vergopolan et al. 10.1038/s41597-021-01050-2
25. Groundwater sustainability assessment in the Middle East using GRACE/GRACE-FO data Z. Nikraftar et al. 10.1007/s10040-023-02717-3
26. Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review R. Khandan et al. 10.3390/rs14030770
27. 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
28. 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
29. Global vegetation productivity increased in response to COVID-19 restrictions C. Dang et al. 10.1080/10095020.2023.2300842
30. 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
31. 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
32. Process Controls on Flood Seasonality in Brazil V. Chagas et al. 10.1029/2021GL096754
33. 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
34. Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products F. Mohseni et al. 10.3390/rs14184624
35. Towards Consistent Soil Moisture Records from China’s FengYun-3 Microwave Observations G. Wang et al. 10.3390/rs14051225
36. Diverse spatiotemporal patterns of vapor pressure deficit and soil moisture across China S. Chen et al. 10.1016/j.ejrh.2024.101712
37. Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China W. Shangguan et al. 10.3390/land11040502
38. 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
39. 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
40. 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
41. A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset O. Skulovich & P. Gentine 10.1038/s41597-023-02053-x
42. 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
43. An alternative AMSR2 vegetation optical depth for monitoring vegetation at large scales M. Wang et al. 10.1016/j.rse.2021.112556
44. 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
45. A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data J. Liu et al. 10.1029/2021GL096847
46. Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth L. Gao et al. 10.1016/j.rse.2021.112627
47. 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
48. 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
49. 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
50. The Application of PERSIANN Family Datasets for Hydrological Modeling H. Salehi et al. 10.3390/rs14153675
51. 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
52. Quantifying the long-term changes of terrestrial water storage and their driving factors X. Shi et al. 10.1016/j.jhydrol.2024.131096
53. 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
54. 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
55. Downscaling of SMAP Soil Moisture Data by Using a Deep Belief Network Y. Cai et al. 10.3390/rs14225681
56. Merging and Downscaling Soil Moisture Data From CMIP6 Projections Using Deep Learning Method D. Feng et al. 10.3389/fenvs.2022.847475
57. A deep neural network based SMAP soil moisture product L. Gao et al. 10.1016/j.rse.2022.113059
58. 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
59. Effect of Radio Frequency Interference-Contaminated AMSR2 Signal Restoration on Soil Moisture Retrieval X. Bai et al. 10.3390/rs14194796
60. Spatio-temporal changes in global root zone soil moisture from 1981 to 2017 X. Luo et al. 10.1016/j.jhydrol.2023.130297
61. 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
62. 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
63. 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
64. Temporal prediction of shallow landslides exploiting soil saturation degree derived by ERA5-Land products M. Bordoni et al. 10.1007/s10064-023-03304-2
65. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications J. Muñoz-Sabater et al. 10.5194/essd-13-4349-2021
66. 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
67. 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
68. 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
69. Soil moisture forecast for smart irrigation: The primetime for machine learning R. Togneri et al. 10.1016/j.eswa.2022.117653
70. Sensitivity of Modeled Soil NOx Emissions to Soil Moisture D. Huber et al. 10.1029/2022JD037611
71. 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
72. Quantifying Flash Droughts Over China From 1980 to 2017 K. Fu & K. Wang 10.1029/2022JD037152
73. Uncertainty Characterization of Ground‐Based, Satellite, and Reanalysis Snow Depth Products Using Extended Triple Collocation D. Qiao et al. 10.1029/2021WR030895
74. Actual Evapotranspiration Dominates Drought in Central Asia Z. Zhao et al. 10.3390/rs15184557
75. 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
76. Increasing footprint of climate warming on flash droughts occurrence in Europe J. Shah et al. 10.1088/1748-9326/ac6888
77. 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
78. Assimilation of SMAP Brightness Temperature Observations in the GEOS Land–Atmosphere Data Assimilation System R. Reichle et al. 10.1109/JSTARS.2021.3118595
79. 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
80. Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes? Y. Liu et al. 10.1029/2023WR034915
81. 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
82. Improving Surface Soil Moisture Estimation Through Assimilating Satellite Land Surface Temperature With a Linear SM-LST Relationship J. Tian et al. 10.1109/JSTARS.2023.3305888
83. Seasonal divergence of evapotranspiration sensitivity to vegetation changes – A proportionality-hypothesis-based analytical solution J. Fu et al. 10.1016/j.jhydrol.2022.129055
84. Vapour pressure deficit is the main driver of tree canopy conductance across biomes V. Flo et al. 10.1016/j.agrformet.2022.109029
85. 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
86. Enhancing Deep Learning Soil Moisture Forecasting Models by Integrating Physics-based Models L. Li et al. 10.1007/s00376-023-3181-8
87. The reliability of categorical triple collocation for evaluating soil freeze/thaw datasets H. Li et al. 10.1016/j.rse.2022.113240
88. 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
89. Assessing meteorological and agricultural drought characteristics and drought propagation in Guangdong, China R. Zhang et al. 10.1016/j.ejrh.2023.101611
90. The global spatiotemporal heterogeneity of land surface-air temperature difference and its influencing factors K. Jiang et al. 10.1016/j.scitotenv.2022.156214
91. Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions M. Piles et al. 10.1109/TGRS.2021.3057928
92. Global long term daily 1 km surface soil moisture dataset with physics informed machine learning Q. Han et al. 10.1038/s41597-023-02011-7
93. 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
94. Multi-Scale Analysis of Agricultural Drought Propagation on the Iberian Peninsula Using Non-Parametric Indices M. Possega et al. 10.3390/w15112032
95. Global high-resolution drought indices for 1981–2022 S. Gebrechorkos et al. 10.5194/essd-15-5449-2023
96. The Boreal–Arctic Wetland and Lake Dataset (BAWLD) D. Olefeldt et al. 10.5194/essd-13-5127-2021
97. Interpreting Conv-LSTM for Spatio-Temporal Soil Moisture Prediction in China F. Huang et al. 10.3390/agriculture13050971
98. The role of soil moisture-temperature coupling for the 2018 Northern European heatwave in a subseasonal forecast S. Tak et al. 10.1016/j.wace.2024.100670
99. Quantification and possible causes of declining groundwater resources in the Euro-Mediterranean region from 2003 to 2020 J. Xanke & T. Liesch 10.1007/s10040-021-02448-3
100. Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China R. Zhang et al. 10.3390/agriculture11050411
101. 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
102. Trends and drivers of recent summer drying in Switzerland S. Scherrer et al. 10.1088/2515-7620/ac4fb9
103. Agricultural Drought Trends on the Iberian Peninsula: An Analysis Using Modeled and Reanalysis Soil Moisture Products L. Almendra-Martín et al. 10.3390/atmos12020236
104. 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
105. Rethinking Satellite Data Merging: From Averaging to SNR Optimization S. Kim et al. 10.1109/TGRS.2021.3107028
106. Surface latent and sensible heat trigger flash drought events in India J. Das et al. 10.1002/hyp.15037
107. Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. 10.1029/2022WR033731
108. Surface temperature controls the pattern of post-earthquake landslide activity M. Loche et al. 10.1038/s41598-022-04992-8
109. Spatiotemporal features of the soil moisture across Northwest China using remote sensing data, reanalysis data, and global hydrological model M. Wang et al. 10.3389/fenvs.2023.1164895
110. The value of satellite soil moisture and snow cover data for the transfer of hydrological model parameters to ungauged sites R. Tong et al. 10.5194/hess-26-1779-2022
111. Climate warming accelerates surface soil moisture drying in the Yellow River Basin, China K. Fan et al. 10.1016/j.jhydrol.2022.128735
112. Attributing the Impacts of Vegetation and Climate Changes on the Spatial Heterogeneity of Terrestrial Water Storage over the Tibetan Plateau Y. Han et al. 10.3390/rs15010117
113. Evaluating Satellite Soil Moisture Datasets for Drought Monitoring in Australia and the South-West Pacific J. Bhardwaj et al. 10.3390/rs14163971
114. Data-driven water need estimation for IoT-based smart irrigation: A survey R. Togneri et al. 10.1016/j.eswa.2023.120194
115. 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
116. Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation T. van Hateren et al. 10.3390/rs13101990
117. ASCAT IB: A radar-based vegetation optical depth retrieved from the ASCAT scatterometer satellite X. Liu et al. 10.1016/j.rse.2021.112587
118. Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya M. Wanzala et al. 10.1016/j.ejrh.2022.101105
119. 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
120. Assessment of vapor pressure deficit variability and trends in Spain and possible connections with soil moisture I. Noguera et al. 10.1016/j.atmosres.2023.106666
121. 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
122. Assessment of resilience in maize suitable planting areas under drought stress L. Jing et al. 10.1016/j.agwat.2022.108096
123. 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
124. 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
125. 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
126. Amplified signals of soil moisture and evaporative stresses across Poland in the twenty-first century U. Somorowska 10.1016/j.scitotenv.2021.151465
127. Development of observation-based global multilayer soil moisture products for 1970 to 2016 Y. Wang et al. 10.5194/essd-13-4385-2021
128. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
129. Hydro-meteorological landslide triggering thresholds based on artificial neural networks using observed precipitation and ERA5-Land soil moisture P. Distefano et al. 10.1007/s10346-023-02132-5
130. Reconstruction of Historical SMAP Soil Moisture Dataset From 1979 to 2015 Using CCI Time-Series H. Yang et al. 10.1109/TGRS.2024.3360092
131. Response of vegetation ecosystems to flash drought with solar-induced chlorophyll fluorescence over the Hai River Basin, China during 2001–2019 T. Yao et al. 10.1016/j.jenvman.2022.114947
132. Advances in the Quality of Global Soil Moisture Products: A Review Y. Liu & Y. Yang 10.3390/rs14153741
133. 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
134. 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
135. Inter-Calibration of Passive Microwave Satellite Brightness Temperature Observations between FY-3D/MWRI and GCOM-W1/AMSR2 Z. Xu et al. 10.3390/rs16020424
136. LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction Q. Li et al. 10.1016/j.eswa.2023.122917
137. Implementation of hydrometeorological thresholds for regional landslide warning in Catalonia (NE Spain) R. Palau et al. 10.1007/s10346-023-02094-8
138. A review of recent developments on drought characterization, propagation, and influential factors V. Raposo et al. 10.1016/j.scitotenv.2023.165550
139. Assessment of 9 km SMAP soil moisture: Evidence of narrowing the gap between satellite retrievals and model-based reanalysis Z. Xing et al. 10.1016/j.rse.2023.113721
140. Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model Z. Zhang et al. 10.3390/rs14102405
141. Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging D. Hagan et al. 10.3390/rs12132164
142. An improved global remote-sensing-based surface soil moisture (RSSSM) dataset covering 2003–2018 Y. Chen et al. 10.5194/essd-13-1-2021
143. Temporal and Spatial Variations of Soil Moisture Over Xinjiang Based on Multiple GLDAS Datasets Z. Hu et al. 10.3389/feart.2021.654848
144. A Novel Scheme for Merging Active and Passive Satellite Soil Moisture Retrievals Based on Maximizing the Signal to Noise Ratio B. Mousa et al. 10.3390/rs12223804