95 citations as recorded by crossref.

1. First Results of SMOS Soil Moisture Validation in the Upper Danube Catchment J. dall'Amico et al.
2. Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products F. Chen et al.
3. Accounting for seasonal retrieval errors in the merging of multi-sensor satellite soil moisture products P. Stradiotti et al.
4. Operational assimilation of ASCAT surface soil wetness at the Met Office I. Dharssi et al.
5. Error decomposition of nine passive and active microwave satellite soil moisture data sets over Australia C. Su et al.
6. A newly merging approach of multiple precipitation products by combining time-varying quadruple collocation and random forest spatial interpolation S. Xu et al.
7. Global-scale comparison of passive (SMOS) and active (ASCAT) satellite based microwave soil moisture retrievals with soil moisture simulations (MERRA-Land) A. Al-Yaari et al.
8. Inferring catchment precipitation by doing hydrology backward: A test in 24 small and mesoscale catchments in Luxembourg R. Krier et al.
9. Trajectory based detection of forest-change impacts on surface soil moisture at a basin scale [Poyang Lake Basin, China] H. Feng & Y. Liu
10. Spatial distribution and possible sources of SMOS errors at the global scale D. Leroux et al.
11. Soil Moisture Retrieval Based on GPS Signal Strength Attenuation F. Koch et al.
12. Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment X. Li et al.
13. Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes C. Montzka et al.
14. Determination of the relationship among compound Topographic Index (CTI), soil properties and land-use in karst ecosystems T. Dindaroglu et al.
15. Spatial representativeness of soil moisture using in situ, remote sensing, and land reanalysis data N. Nicolai‐Shaw et al.
16. Upscaling of Soil Moisture over Highly Heterogeneous Surfaces and Validation of SMAP Product J. Qin et al.
17. An Initial Assessment of SMOS Derived Soil Moisture over the Continental United States M. Pan et al.
18. Validation practices for satellite‐based Earth observation data across communities A. Loew et al.
19. Characterizing Coarse‐Scale Representativeness of in situ Soil Moisture Measurements from the International Soil Moisture Network A. Gruber et al.
20. Structural and statistical properties of the collocation technique for error characterization S. Zwieback et al.
21. Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany F. Schlenz et al.
22. Evaluation and analysis of root zone soil moisture products in the frozen soil of the western Daxinganling Mountains based on In-Situ data W. Shan et al.
23. Uncertainty Assessment of the SMOS Validation in the Upper Danube Catchment F. Schlenz et al.
24. Global soil moisture dynamics: attribution of contributions and their association with GPP Y. Li et al.
25. Spatiotemporal Analysis of Soil Moisture and Optimal Sampling Design for Regional‐Scale Soil Moisture Estimation in a Tropical Watershed of India G. Singh et al.
26. Multi-scale temporal stability analysis of surface and subsurface soil moisture within the Upper Cedar Creek Watershed, Indiana G. Heathman et al.
27. SMOS soil moisture product evaluation over West-Africa from local to regional scale S. Louvet et al.
28. Operational Soil Moisture from ASCAT in Support of Water Resources Management K. Deng et al.
29. Time-varying quadruple collocation for enhanced satellite and reanalysis precipitation data error estimation and integration A. Alcantara & K. Ahn
30. Evaluation analysis of NASA SMAP L3 and L4 and SPoRT-LIS soil moisture data in the United States A. Tavakol et al.
31. A Downscaling Approach for SMOS Land Observations: Evaluation of High-Resolution Soil Moisture Maps Over the Iberian Peninsula M. Piles et al.
32. Evaluation of the ESA CCI soil moisture product using ground-based observations W. Dorigo et al.
33. The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations R. Parinussa et al.
34. Updated validation of ACE and OSIRIS ozone and NO2 measurements in the Arctic using ground-based instruments at Eureka, Canada K. Bognar et al.
35. Temporal Variability of Uncertainty in Pixel-Wise Soil Moisture: Implications for Satellite Validation H. Feng et al.
36. Spatial Downscaling of Satellite Soil Moisture Data Using a Vegetation Temperature Condition Index J. Peng et al.
37. Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals A. Gruber et al.
38. Time-variant error characterization of SMAP and ASCAT soil moisture using Triple Collocation Analysis K. Wu et al.
39. A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg T. Lacava et al.
40. Stand-alone error characterisation of microwave satellite soil moisture using a Fourier method C. Su et al.
41. Multi-scale analysis of bias correction of soil moisture C. Su & D. Ryu
42. Intercomparison of Leaf Area Index Products Derived from Satellite Data over the Heihe River Basin P. Zhou et al.
43. A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products M. Choi & Y. Hur
44. The Impact of Quadratic Nonlinear Relations between Soil Moisture Products on Uncertainty Estimates from Triple Collocation Analysis and Two Quadratic Extensions S. Zwieback et al.
45. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes C. Alvarez-Garreton et al.
46. Triple Collocation Evaluation of In Situ Soil Moisture Observations from 1200+ Stations as part of the U.S. National Soil Moisture Network T. Ford et al.
47. Intercomparison of recent microwave satellite soil moisture products on European ecoregions A. Mazzariello et al.
48. The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements W. Dorigo et al.
49. A global-scale intercomparison of Triple Collocation Analysis- and ground-based soil moisture time-variant errors derived from different rescaling techniques K. Wu et al.
50. Performance of Global Soil Moisture Products in Crop Growing Region of Central India S. Rao et al.
51. A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation S. Kim et al.
52. A New International Network for in Situ Soil Moisture Data W. Dorigo et al.
53. Estimation of the temporal autocorrelation structure by the collocation technique with an emphasis on soil moisture studies S. Zwieback et al.
54. Validation of the ESA CCI soil moisture product in China R. An et al.
55. The puzzle of soil Moisture: Unravelling its dynamics in a watershed with complex physiographic features S. Sharma et al.
56. Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma Part II: New Multi-Sensor Soil Moisture (MSSM) Product Z. Hong et al.
57. Performance Evaluation and Spatiotemporal Dynamics of Nine Reanalysis and Remote Sensing Evapotranspiration Products in China Y. Liu et al.
58. Stochastic Bias Correction and Uncertainty Estimation of Satellite-Retrieved Soil Moisture Products J. Lee et al.
59. Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations J. Zeng et al.
60. A Hybrid Triple Collocation-Deep Learning Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data W. Ming et al.
61. Recent advances in (soil moisture) triple collocation analysis A. Gruber et al.
62. Application of observation operators for field scale soil moisture averages and variances in agricultural landscapes E. Han et al.
63. Evaluating the Effects of Climate Change and Human Activities on the Seasonal Trends and Spatial Heterogeneity of Soil Moisture E. Zhang et al.
64. Improving prediction accuracy of soil water storage through reducing sampling frequency X. Li et al.
65. Spatial upscaling of in-situ soil moisture measurements based on MODIS-derived apparent thermal inertia J. Qin et al.
66. Comparison of SMOS, modelled andin situlong-term soil moisture series in the northwest of Spain A. Gumuzzio et al.
67. On the Variability in the Temporal Stability Pattern of Soil Moisture Under Mediterranean Conditions Á. González-Zamora et al.
68. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe L. Brocca et al.
69. Estimating time-dependent vegetation biases in the SMAP soil moisture product S. Zwieback et al.
70. Assessment of Level-3 Gridded Global Precipitation Mission (GPM) Products Over Oceans S. Khan & V. Maggioni
71. Connectivity and topographic thresholds in bi-hourly soil moisture measurements along transects on a steep hillslope S. Kim
72. Hyperspectral Optical, Thermal, and Microwave L-Band Observations For Soil Moisture Retrieval at Very High Spatial Resolution N. Sánchez et al.
73. Challenges in flood modeling over data-scarce regions: how to exploit globally available soil moisture products to estimate antecedent soil wetness conditions in Morocco E. El Khalki et al.
74. Use of SMOS L3 Soil Moisture Data: Validation and Drought Assessment for Pernambuco State, Northeast Brazil A. Souza et al.
75. Evaluation of soil moisture extremes for agricultural productivity in the Canadian prairies C. Champagne et al.
76. Effects of Meteorological and Ancillary Data, Temporal Averaging, and Evaluation Methods on Model Performance and Uncertainty in a Land Surface Model C. Ménard et al.
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
78. Forecasting monthly soil moisture at broad spatial scales in sub-Saharan Africa using three time-series models: evidence from four decades of remotely sensed data S. Tesfamichael et al.
79. Characterizing the accuracy of satellite-based products to detect soil moisture at the global scale X. Min et al.
80. Surface Soil Moisture Retrieval Using Optical/Thermal Infrared Remote Sensing Data Y. Wang et al.
81. Multi‐Timescale Analysis of the Spatial Representativeness of In Situ Soil Moisture Data within Satellite Footprints B. Molero et al.
82. A Multiscale Deep Learning Model for Soil Moisture Integrating Satellite and In Situ Data J. Liu et al.
83. Inter-comparison and integration of different soil moisture downscaling methods over the Qinghai-Tibet Plateau Y. Shangguan et al.
84. Spatial Representativeness Analysis for Snow Depth Measurements of Meteorological Stations in Northeast China Y. Wang & Z. Zheng
85. Combined effects of precipitation and air temperature on soil moisture in different land covers in a humid basin H. Feng & Y. Liu
86. Catchment scale soil moisture spatial–temporal variability L. Brocca et al.
87. Comparative study of soil moisture estimations from SMOS satellite mission, GLDAS database, and cosmic-ray neutrons measurements at COSMOS station in Eastern Poland M. Kędzior & J. Zawadzki
88. Validation of the SMOS L2 Soil Moisture Data in the REMEDHUS Network (Spain) N. Sanchez et al.
89. A fine-resolution soil moisture dataset for China in 2002–2018 X. Meng et al.
90. A Fusion Strategy for High-Accuracy Multilayer Soil Moisture Downscaling and Mapping X. Zhang et al.
91. Assessment of reanalysis soil moisture products in the permafrost regions of the central of the Qinghai–Tibet Plateau Y. Qin et al.
92. A study of field-scale soil moisture variability using the COsmic-ray Soil Moisture Observing System (COSMOS) at IITM Pune site M. Mujumdar et al.
93. Analysis of spatial variability of near-surface soilmoisture to increase rainfall-runoff modellingaccuracy in SW Hungary P. Hegedüs et al.
94. Validation of satellite-based soil moisture retrievals from SMAP with in situ observation in the Simineh-Zarrineh (Bokan) Catchment, NW of Iran K. Maleki et al.
95. Reconstructing and analyzing China's fifty-nine year (1951–2009) drought history using hydrological model simulation Z. Wu et al.